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snapshot column capabilities for realtime cursors (#17386) 

* snapshot column capabilities for realtime cursors

changes:
* adds `CursorBuildSpec.getPhysicalColumns()` to allow specifying the set of required physical columns from a segment. if null, all columns are assumed to be required (e.g. full scan)
* `IncrementalIndexCursorFactory`/`IncrementalIndexCursorHolder` uses the physical columns from the cursor build spec to know which set of dimensions to 'snapshot' the capabilities for, allowing expression selectors on realtime queries to no longer be required to treat selectors from `StringDimensionIndexer` as multi-valued unless they truly are multi-valued. this fixes several bugs with expressions on realtime queries that change a value from `StringDimensionIndexer` to some type other than string, which would often result in a single element array from the column being handled as multi-valued
* `StringDimensionIndexer.setSparseIndexed()` now adds the default value to the dictionary when set
* `StringDimensionIndexer` column value selectors now always report that they are dictionary encoded, and that name lookup is possible in advance on their selectors (since set sparse adds the null value so the cardinality is correct)
* fixed a mistake that expression selectors for realtime queries with no null values could not use dictionary encoded selectors

* hmm

* test changes

* cleanup

* add test coverage

* fix test

* fixes

* cleanup
This commit is contained in:
Clint Wylie 2024-12-09 08:44:54 -08:00 committed by GitHub
parent ae4ea51352
commit 80d2cd3632
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
52 changed files with 3052 additions and 435 deletions
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2
extensions-contrib/virtual-columns/src/test/java/org/apache/druid/segment/MapVirtualColumnTestBase.java
View File

@ -62,7 +62,7 @@ public class MapVirtualColumnTestBase extends InitializedNullHandlingTest
.withMinTimestamp(DateTimes.of("2011-01-12T00:00:00.000Z").getMillis())
.build();
return TestIndex.loadIncrementalIndex(
return TestIndex.loadIncrementalIndexFromCharSource(
() -> new OnheapIncrementalIndex.Builder()
.setIndexSchema(schema)
.setMaxRowCount(10000)

1
processing/src/main/java/org/apache/druid/query/groupby/GroupingEngine.java
View File

@ -869,6 +869,7 @@ public class GroupingEngine
.setInterval(query.getSingleInterval())
.setFilter(Filters.convertToCNFFromQueryContext(query, Filters.toFilter(query.getFilter())))
.setVirtualColumns(query.getVirtualColumns())
.setPhysicalColumns(query.getRequiredColumns())
.setGroupingColumns(query.getGroupingColumns())
.setAggregators(query.getAggregatorSpecs())
.setQueryContext(query.context())

1
processing/src/main/java/org/apache/druid/query/scan/ScanQueryEngine.java
View File

@ -258,6 +258,7 @@ public class ScanQueryEngine
.setInterval(query.getSingleInterval())
.setFilter(Filters.convertToCNFFromQueryContext(query, Filters.toFilter(query.getFilter())))
.setVirtualColumns(query.getVirtualColumns())
.setPhysicalColumns(query.getRequiredColumns())
.setPreferredOrdering(query.getOrderBys())
.setQueryContext(query.context())
.setQueryMetrics(queryMetrics)

1
processing/src/main/java/org/apache/druid/query/search/CursorOnlyStrategy.java
View File

@ -85,6 +85,7 @@ public class CursorOnlyStrategy extends SearchStrategy
)
)
.setVirtualColumns(query.getVirtualColumns())
.setPhysicalColumns(query.getRequiredColumns())
.setQueryContext(query.context())
.build();
try (final CursorHolder cursorHolder = adapter.makeCursorHolder(buildSpec)) {

1
processing/src/main/java/org/apache/druid/query/timeboundary/TimeBoundaryQueryRunnerFactory.java
View File

@ -206,6 +206,7 @@ public class TimeBoundaryQueryRunnerFactory
.setInterval(query.getSingleInterval())
.setFilter(Filters.convertToCNFFromQueryContext(query, Filters.toFilter(query.getFilter())))
.setVirtualColumns(query.getVirtualColumns())
.setPhysicalColumns(query.getRequiredColumns())
.setQueryContext(query.context())
.build();
}

1
processing/src/main/java/org/apache/druid/query/timeseries/TimeseriesQueryEngine.java
View File

@ -333,6 +333,7 @@ public class TimeseriesQueryEngine
.setInterval(query.getSingleInterval())
.setFilter(Filters.convertToCNFFromQueryContext(query, Filters.toFilter(query.getFilter())))
.setVirtualColumns(query.getVirtualColumns())
.setPhysicalColumns(query.getRequiredColumns())
.setAggregators(query.getAggregatorSpecs())
.setQueryContext(query.context())
.setPreferredOrdering(

1
processing/src/main/java/org/apache/druid/query/topn/TopNQueryEngine.java
View File

@ -297,6 +297,7 @@ public class TopNQueryEngine
.setFilter(Filters.convertToCNFFromQueryContext(query, Filters.toFilter(query.getFilter())))
.setGroupingColumns(Collections.singletonList(query.getDimensionSpec().getDimension()))
.setVirtualColumns(query.getVirtualColumns())
.setPhysicalColumns(query.getRequiredColumns())
.setAggregators(query.getAggregatorSpecs())
.setQueryContext(query.context())
.setQueryMetrics(queryMetrics)

16
processing/src/main/java/org/apache/druid/segment/AggregateProjectionMetadata.java
View File

@ -292,12 +292,13 @@ public class AggregateProjectionMetadata
if (!queryCursorBuildSpec.isCompatibleOrdering(orderingWithTimeSubstitution)) {
return null;
}
final List<String> queryGrouping = queryCursorBuildSpec.getGroupingColumns();
Projections.ProjectionMatchBuilder matchBuilder = new Projections.ProjectionMatchBuilder();
if (timeColumnName != null) {
matchBuilder.remapColumn(timeColumnName, ColumnHolder.TIME_COLUMN_NAME);
matchBuilder.remapColumn(timeColumnName, ColumnHolder.TIME_COLUMN_NAME)
.addReferencedPhysicalColumn(ColumnHolder.TIME_COLUMN_NAME);
}
final List<String> queryGrouping = queryCursorBuildSpec.getGroupingColumns();
if (queryGrouping != null) {
for (String queryColumn : queryGrouping) {
matchBuilder = matchRequiredColumn(
@ -331,7 +332,9 @@ public class AggregateProjectionMetadata
for (AggregatorFactory projectionAgg : aggregators) {
final AggregatorFactory combining = queryAgg.substituteCombiningFactory(projectionAgg);
if (combining != null) {
matchBuilder.remapColumn(queryAgg.getName(), projectionAgg.getName()).addPreAggregatedAggregator(combining);
matchBuilder.remapColumn(queryAgg.getName(), projectionAgg.getName())
.addReferencedPhysicalColumn(projectionAgg.getName())
.addPreAggregatedAggregator(combining);
foundMatch = true;
break;
}
@ -388,7 +391,7 @@ public class AggregateProjectionMetadata
projectionEquivalent.getOutputName()
);
}
return matchBuilder;
return matchBuilder.addReferencedPhysicalColumn(projectionEquivalent.getOutputName());
}
matchBuilder.addReferenceedVirtualColumn(buildSpecVirtualColumn);
@ -401,7 +404,8 @@ public class AggregateProjectionMetadata
if (virtualGranularity.isFinerThan(granularity)) {
return null;
}
return matchBuilder.remapColumn(column, timeColumnName);
return matchBuilder.remapColumn(column, ColumnHolder.TIME_COLUMN_NAME)
.addReferencedPhysicalColumn(ColumnHolder.TIME_COLUMN_NAME);
} else {
// anything else with __time requires none granularity
if (Granularities.NONE.equals(granularity)) {
@ -425,7 +429,7 @@ public class AggregateProjectionMetadata
}
} else {
if (physicalColumnChecker.check(name, column)) {
return matchBuilder;
return matchBuilder.addReferencedPhysicalColumn(column);
}
return null;
}

2
processing/src/main/java/org/apache/druid/segment/ColumnSelectorColumnIndexSelector.java
View File

@ -109,6 +109,6 @@ public class ColumnSelectorColumnIndexSelector implements ColumnIndexSelector
private boolean isVirtualColumn(final String columnName)
{
return virtualColumns.getVirtualColumn(columnName) != null;
return virtualColumns.exists(columnName);
}
}

57
processing/src/main/java/org/apache/druid/segment/CursorBuildSpec.java
View File

@ -32,6 +32,7 @@ import org.joda.time.Interval;
import javax.annotation.Nullable;
import java.util.Collections;
import java.util.List;
import java.util.Set;
public class CursorBuildSpec
{
@ -61,14 +62,18 @@ public class CursorBuildSpec
private final boolean isAggregate;
@Nullable
private final Set<String> physicalColumns;
@Nullable
private final QueryMetrics<?> queryMetrics;
public CursorBuildSpec(
@Nullable Filter filter,
Interval interval,
@Nullable List<String> groupingColumns,
@Nullable Set<String> physicalColumns,
VirtualColumns virtualColumns,
@Nullable List<String> groupingColumns,
@Nullable List<AggregatorFactory> aggregators,
List<OrderBy> preferredOrdering,
QueryContext queryContext,
@ -77,8 +82,9 @@ public class CursorBuildSpec
{
this.filter = filter;
this.interval = Preconditions.checkNotNull(interval, "interval");
this.groupingColumns = groupingColumns;
this.virtualColumns = Preconditions.checkNotNull(virtualColumns, "virtualColumns");
this.physicalColumns = physicalColumns;
this.groupingColumns = groupingColumns;
this.aggregators = aggregators;
this.preferredOrdering = Preconditions.checkNotNull(preferredOrdering, "preferredOrdering");
this.queryContext = Preconditions.checkNotNull(queryContext, "queryContext");
@ -107,14 +113,13 @@ public class CursorBuildSpec
}
/**
* Any columns which will be used for grouping by a query engine for the {@link CursorHolder}, useful for
* specializing the {@link Cursor} or {@link org.apache.druid.segment.vector.VectorCursor} if any pre-aggregated
* data is available.
* Set of physical columns required from a cursor. If null, and {@link #groupingColumns} is null or empty and
* {@link #aggregators} is null or empty, then a {@link CursorHolder} must assume that ALL columns are required
*/
@Nullable
public List<String> getGroupingColumns()
public Set<String> getPhysicalColumns()
{
return groupingColumns;
return physicalColumns;
}
/**
@ -126,6 +131,17 @@ public class CursorBuildSpec
return virtualColumns;
}
/**
* Any columns which will be used for grouping by a query engine for the {@link CursorHolder}, useful for
* specializing the {@link Cursor} or {@link org.apache.druid.segment.vector.VectorCursor} if any pre-aggregated
* data is available.
*/
@Nullable
public List<String> getGroupingColumns()
{
return groupingColumns;
}
/**
* Any {@link AggregatorFactory} which will be used by a query engine for the {@link CursorHolder}, useful
* to assist in determining if {@link CursorHolder#canVectorize()}, as well as specializing the {@link Cursor} or
@ -208,10 +224,12 @@ public class CursorBuildSpec
@Nullable
private Filter filter;
private Interval interval = Intervals.ETERNITY;
private VirtualColumns virtualColumns = VirtualColumns.EMPTY;
@Nullable
private Set<String> physicalColumns;
@Nullable
private List<String> groupingColumns;
private VirtualColumns virtualColumns = VirtualColumns.EMPTY;
@Nullable
private List<AggregatorFactory> aggregators;
private List<OrderBy> preferredOrdering = Collections.emptyList();
@ -229,8 +247,9 @@ public class CursorBuildSpec
{
this.filter = buildSpec.filter;
this.interval = buildSpec.interval;
this.groupingColumns = buildSpec.groupingColumns;
this.physicalColumns = buildSpec.physicalColumns;
this.virtualColumns = buildSpec.virtualColumns;
this.groupingColumns = buildSpec.groupingColumns;
this.aggregators = buildSpec.aggregators;
this.preferredOrdering = buildSpec.preferredOrdering;
this.queryContext = buildSpec.queryContext;
@ -256,13 +275,11 @@ public class CursorBuildSpec
}
/**
* @see CursorBuildSpec#getGroupingColumns()
* @see CursorBuildSpec#getPhysicalColumns()
*/
public CursorBuildSpecBuilder setGroupingColumns(
@Nullable List<String> groupingColumns
)
public CursorBuildSpecBuilder setPhysicalColumns(@Nullable Set<String> physicalColumns)
{
this.groupingColumns = groupingColumns;
this.physicalColumns = physicalColumns;
return this;
}
@ -275,6 +292,15 @@ public class CursorBuildSpec
return this;
}
/**
* @see CursorBuildSpec#getGroupingColumns()
*/
public CursorBuildSpecBuilder setGroupingColumns(@Nullable List<String> groupingColumns)
{
this.groupingColumns = groupingColumns;
return this;
}
/**
* @see CursorBuildSpec#getAggregators()
*/
@ -316,8 +342,9 @@ public class CursorBuildSpec
return new CursorBuildSpec(
filter,
interval,
groupingColumns,
physicalColumns,
virtualColumns,
groupingColumns,
aggregators,
preferredOrdering,
queryContext,

16
processing/src/main/java/org/apache/druid/segment/DictionaryEncodedColumnIndexer.java
View File

@ -58,7 +58,10 @@ public abstract class DictionaryEncodedColumnIndexer<KeyType, ActualType extends
@Override
public void setSparseIndexed()
{
isSparse = true;
if (!isSparse) {
dimLookup.add(null);
isSparse = true;
}
}
public int getSortedEncodedValueFromUnsorted(Integer unsortedIntermediateValue)
@ -227,17 +230,6 @@ public abstract class DictionaryEncodedColumnIndexer<KeyType, ActualType extends
return new SortedDimensionSelector();
}
/**
* returns true if all values are encoded in {@link #dimLookup}
*/
protected boolean dictionaryEncodesAllValues()
{
// name lookup is possible in advance if we explicitly process a value for every row, or if we've encountered an
// actual null value and it is present in our dictionary. otherwise the dictionary will be missing ids for implicit
// null values
return !isSparse || dimLookup.getIdForNull() != DimensionDictionary.ABSENT_VALUE_ID;
}
protected SortedDimensionDictionary<ActualType> sortedLookup()
{
return sortedLookup == null ? sortedLookup = dimLookup.sort() : sortedLookup;

33
processing/src/main/java/org/apache/druid/segment/FilteredCursorFactory.java
View File

@ -19,14 +19,16 @@
package org.apache.druid.segment;
import com.google.common.collect.ImmutableList;
import org.apache.druid.query.filter.DimFilter;
import org.apache.druid.query.filter.Filter;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.RowSignature;
import org.apache.druid.segment.filter.AndFilter;
import org.apache.druid.segment.filter.Filters;
import javax.annotation.Nullable;
import java.util.Arrays;
import java.util.HashSet;
import java.util.Set;
public class FilteredCursorFactory implements CursorFactory
{
@ -45,20 +47,29 @@ public class FilteredCursorFactory implements CursorFactory
{
final CursorBuildSpec.CursorBuildSpecBuilder buildSpecBuilder = CursorBuildSpec.builder(spec);
final Filter newFilter;
if (spec.getFilter() == null) {
if (filter != null) {
final Set<String> physicalColumns;
if (filter != null) {
if (spec.getFilter() == null) {
newFilter = filter.toFilter();
} else {
newFilter = null;
newFilter = Filters.and(Arrays.asList(spec.getFilter(), filter.toFilter()));
}
if (spec.getPhysicalColumns() != null) {
physicalColumns = new HashSet<>(spec.getPhysicalColumns());
for (String column : filter.getRequiredColumns()) {
if (!spec.getVirtualColumns().exists(column)) {
physicalColumns.add(column);
}
}
} else {
physicalColumns = null;
}
} else {
if (filter != null) {
newFilter = new AndFilter(ImmutableList.of(spec.getFilter(), filter.toFilter()));
} else {
newFilter = spec.getFilter();
}
newFilter = spec.getFilter();
physicalColumns = spec.getPhysicalColumns();
}
buildSpecBuilder.setFilter(newFilter);
buildSpecBuilder.setFilter(newFilter)
.setPhysicalColumns(physicalColumns);
return delegate.makeCursorHolder(buildSpecBuilder.build());
}

175
processing/src/main/java/org/apache/druid/segment/StringDimensionIndexer.java
View File

@ -25,6 +25,7 @@ import org.apache.druid.collections.bitmap.BitmapFactory;
import org.apache.druid.collections.bitmap.MutableBitmap;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.data.input.impl.DimensionSchema.MultiValueHandling;
import org.apache.druid.error.DruidException;
import org.apache.druid.java.util.common.ISE;
import org.apache.druid.java.util.common.StringUtils;
import org.apache.druid.java.util.common.guava.Comparators;
@ -242,6 +243,7 @@ public class StringDimensionIndexer extends DictionaryEncodedColumnIndexer<int[]
ColumnCapabilitiesImpl capabilites = new ColumnCapabilitiesImpl().setType(ColumnType.STRING)
.setHasBitmapIndexes(hasBitmapIndexes)
.setHasSpatialIndexes(hasSpatialIndexes)
.setDictionaryEncoded(true)
.setDictionaryValuesUnique(true)
.setDictionaryValuesSorted(false);
@ -254,18 +256,8 @@ public class StringDimensionIndexer extends DictionaryEncodedColumnIndexer<int[]
if (hasMultipleValues) {
capabilites.setHasMultipleValues(true);
}
// Likewise, only set dictionaryEncoded if explicitly if true for a similar reason as multi-valued handling. The
// dictionary is populated as rows are processed, but there might be implicit default values not accounted for in
// the dictionary yet. We can be certain that the dictionary has an entry for every value if either of
// a) we have already processed an explitic default (null) valued row for this column
// b) the processing was not 'sparse', meaning that this indexer has processed an explict value for every row
// is true.
final boolean allValuesEncoded = dictionaryEncodesAllValues();
if (allValuesEncoded) {
capabilites.setDictionaryEncoded(true);
}
if (isSparse || dimLookup.getIdForNull() != DimensionDictionary.ABSENT_VALUE_ID) {
if (dimLookup.getIdForNull() != DimensionDictionary.ABSENT_VALUE_ID) {
capabilites.setHasNulls(true);
}
return capabilites;
@ -303,6 +295,7 @@ public class StringDimensionIndexer extends DictionaryEncodedColumnIndexer<int[]
{
final Object[] dims = currEntry.get().getDims();
@Nullable
int[] indices;
if (dimIndex < dims.length) {
indices = (int[]) dims[dimIndex];
@ -317,26 +310,19 @@ public class StringDimensionIndexer extends DictionaryEncodedColumnIndexer<int[]
if (indices == null || indices.length == 0) {
if (hasMultipleValues) {
row = IntArrays.EMPTY_ARRAY;
rowSize = 0;
} else {
final int nullId = getEncodedValue(null, false);
if (nullId >= 0 && nullId < maxId) {
// null was added to the dictionary before this selector was created; return its ID.
if (nullIdIntArray == null) {
nullIdIntArray = new int[]{nullId};
}
row = nullIdIntArray;
rowSize = 1;
} else {
// null doesn't exist in the dictionary; return an empty array.
// Choose to use ArrayBasedIndexedInts later, instead of special "empty" IndexedInts, for monomorphism
row = IntArrays.EMPTY_ARRAY;
rowSize = 0;
DruidException.conditionalDefensive(
nullId >= 0 && nullId < maxId,
"Null value not present in dictionary, how did this happen?"
);
if (nullIdIntArray == null) {
nullIdIntArray = new int[]{nullId};
}
row = nullIdIntArray;
rowSize = 1;
}
}
if (row == null && indices != null && indices.length > 0) {
} else {
row = indices;
rowSize = indices.length;
}
@ -346,76 +332,75 @@ public class StringDimensionIndexer extends DictionaryEncodedColumnIndexer<int[]
}
@Override
public ValueMatcher makeValueMatcher(final String value)
public ValueMatcher makeValueMatcher(@Nullable final String value)
{
if (extractionFn == null) {
final int valueId = lookupId(value);
final int nullValueId = lookupId(null);
if (valueId >= 0 || value == null) {
return new ValueMatcher()
{
@Override
public boolean matches(boolean includeUnknown)
{
Object[] dims = currEntry.get().getDims();
if (dimIndex >= dims.length) {
return includeUnknown || value == null;
}
int[] dimsInt = (int[]) dims[dimIndex];
if (dimsInt == null || dimsInt.length == 0) {
return includeUnknown || value == null;
}
for (int id : dimsInt) {
if (id == valueId) {
return true;
}
if (includeUnknown && (id == nullValueId)) {
return true;
}
}
return false;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
// nothing to inspect
}
};
} else {
return new ValueMatcher()
{
@Override
public boolean matches(boolean includeUnknown)
{
if (includeUnknown) {
IndexedInts row = getRow();
final int size = row.size();
if (size == 0) {
return true;
}
for (int i = 0; i < size; i++) {
if (row.get(i) == nullValueId) {
return true;
}
}
}
return false;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
// nothing to inspect
}
};
}
} else {
if (extractionFn != null) {
// Employ caching BitSet optimization
return makeValueMatcher(StringPredicateDruidPredicateFactory.equalTo(value));
}
final int valueId = lookupId(value);
final int nullValueId = lookupId(null);
if (valueId >= 0 || value == null) {
return new ValueMatcher()
{
@Override
public boolean matches(boolean includeUnknown)
{
Object[] dims = currEntry.get().getDims();
if (dimIndex >= dims.length) {
return includeUnknown || value == null;
}
int[] dimsInt = (int[]) dims[dimIndex];
if (dimsInt == null || dimsInt.length == 0) {
return includeUnknown || value == null;
}
for (int id : dimsInt) {
if (id == valueId) {
return true;
}
if (includeUnknown && (id == nullValueId)) {
return true;
}
}
return false;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
// nothing to inspect
}
};
} else {
return new ValueMatcher()
{
@Override
public boolean matches(boolean includeUnknown)
{
if (includeUnknown) {
IndexedInts row = getRow();
final int size = row.size();
if (size == 0) {
return true;
}
for (int i = 0; i < size; i++) {
if (row.get(i) == nullValueId) {
return true;
}
}
}
return false;
}
@Override
public void inspectRuntimeShape(RuntimeShapeInspector inspector)
{
// nothing to inspect
}
};
}
}
@Override
@ -486,7 +471,7 @@ public class StringDimensionIndexer extends DictionaryEncodedColumnIndexer<int[]
@Override
public boolean nameLookupPossibleInAdvance()
{
return dictionaryEncodesAllValues();
return true;
}
@Nullable
@ -497,7 +482,7 @@ public class StringDimensionIndexer extends DictionaryEncodedColumnIndexer<int[]
}
@Override
public int lookupId(String name)
public int lookupId(@Nullable String name)
{
if (extractionFn != null) {
throw new UnsupportedOperationException(

25
processing/src/main/java/org/apache/druid/segment/UnnestCursorFactory.java
View File

@ -52,6 +52,7 @@ import org.apache.druid.utils.CloseableUtils;
import javax.annotation.Nullable;
import java.util.ArrayList;
import java.util.Collections;
import java.util.HashSet;
import java.util.List;
import java.util.Set;
import java.util.function.Supplier;
@ -86,9 +87,33 @@ public class UnnestCursorFactory implements CursorFactory
input == null ? null : spec.getVirtualColumns()
.getColumnCapabilitiesWithFallback(baseCursorFactory, input)
);
final Set<String> physicalColumns;
if (spec.getPhysicalColumns() == null) {
physicalColumns = null;
} else {
physicalColumns = new HashSet<>();
for (String column : unnestColumn.requiredColumns()) {
if (!spec.getVirtualColumns().exists(column)) {
physicalColumns.add(column);
}
}
if (filter != null) {
for (String column : filter.getRequiredColumns()) {
if (!spec.getVirtualColumns().exists(column)) {
physicalColumns.add(column);
}
}
}
for (String column : spec.getPhysicalColumns()) {
if (!column.equals(unnestColumn.getOutputName())) {
physicalColumns.add(column);
}
}
}
final CursorBuildSpec unnestBuildSpec =
CursorBuildSpec.builder(spec)
.setFilter(filterPair.lhs)
.setPhysicalColumns(physicalColumns)
.setVirtualColumns(VirtualColumns.create(Collections.singletonList(unnestColumn)))
.build();

44
processing/src/main/java/org/apache/druid/segment/incremental/IncrementalIndexColumnSelectorFactory.java
View File

@ -19,12 +19,14 @@
package org.apache.druid.segment.incremental;
import org.apache.druid.error.DruidException;
import org.apache.druid.query.Order;
import org.apache.druid.query.dimension.DimensionSpec;
import org.apache.druid.query.extraction.ExtractionFn;
import org.apache.druid.segment.ColumnInspector;
import org.apache.druid.segment.ColumnSelectorFactory;
import org.apache.druid.segment.ColumnValueSelector;
import org.apache.druid.segment.CursorBuildSpec;
import org.apache.druid.segment.DimensionIndexer;
import org.apache.druid.segment.DimensionSelector;
import org.apache.druid.segment.RowIdSupplier;
@ -35,6 +37,8 @@ import org.apache.druid.segment.column.ColumnHolder;
import org.apache.druid.segment.column.ValueTypes;
import javax.annotation.Nullable;
import java.util.HashMap;
import java.util.Map;
/**
* The basic implementation of {@link ColumnSelectorFactory} over an {@link IncrementalIndex}. It's counterpart for
@ -51,21 +55,52 @@ class IncrementalIndexColumnSelectorFactory implements ColumnSelectorFactory, Ro
IncrementalIndexColumnSelectorFactory(
IncrementalIndexRowSelector rowSelector,
IncrementalIndexRowHolder rowHolder,
VirtualColumns virtualColumns,
CursorBuildSpec cursorBuildSpec,
Order timeOrder
)
{
this.rowSelector = rowSelector;
this.virtualColumns = virtualColumns;
this.virtualColumns = cursorBuildSpec.getVirtualColumns();
this.timeOrder = timeOrder;
this.rowHolder = rowHolder;
final Map<String, ColumnCapabilities> capabilitiesMap = new HashMap<>();
if (cursorBuildSpec.getPhysicalColumns() == null) {
// add everything
for (String column : rowSelector.getDimensionNames(true)) {
capabilitiesMap.put(column, IncrementalIndexCursorFactory.snapshotColumnCapabilities(rowSelector, column));
}
for (String column : rowSelector.getMetricNames()) {
capabilitiesMap.put(column, IncrementalIndexCursorFactory.snapshotColumnCapabilities(rowSelector, column));
}
for (String column : cursorBuildSpec.getVirtualColumns().getColumnNames()) {
capabilitiesMap.put(column, IncrementalIndexCursorFactory.snapshotColumnCapabilities(rowSelector, column));
}
} else {
// just add required columns
for (String column : cursorBuildSpec.getPhysicalColumns()) {
capabilitiesMap.put(column, IncrementalIndexCursorFactory.snapshotColumnCapabilities(rowSelector, column));
}
// and virtual columns
for (String column : cursorBuildSpec.getVirtualColumns().getColumnNames()) {
capabilitiesMap.put(column, IncrementalIndexCursorFactory.snapshotColumnCapabilities(rowSelector, column));
}
}
this.snapshotColumnInspector = new ColumnInspector()
{
@Nullable
@Override
public ColumnCapabilities getColumnCapabilities(String column)
{
return IncrementalIndexCursorFactory.snapshotColumnCapabilities(rowSelector, column);
final ColumnCapabilities capabilities = capabilitiesMap.get(column);
DruidException.conditionalDefensive(
cursorBuildSpec.getPhysicalColumns() == null || capabilities != null || capabilitiesMap.containsKey(column),
"Asked for physical column capabilities for column[%s] which wasn't specified as required by the query (specified columns[%s])",
column,
cursorBuildSpec.getPhysicalColumns()
);
return capabilities;
}
};
}
@ -135,7 +170,8 @@ class IncrementalIndexColumnSelectorFactory implements ColumnSelectorFactory, Ro
@Nullable
public ColumnCapabilities getColumnCapabilities(String columnName)
{
// Use snapshotColumnInspector instead of index.getCapabilities (see note in IncrementalIndexStorageAdapater)
// Use snapshotColumnInspector instead of 'live' rowSelector.getCapabilities because the snapshot is frozen in time
// at approximately when this selector factory was created (e.g. taken just after max row id)
if (isTimeColumn(columnName)) {
return virtualColumns.getColumnCapabilitiesWithFallback(snapshotColumnInspector, ColumnHolder.TIME_COLUMN_NAME);
}

25
processing/src/main/java/org/apache/druid/segment/incremental/IncrementalIndexCursorFactory.java
View File

@ -25,7 +25,6 @@ import org.apache.druid.segment.ColumnSelectorFactory;
import org.apache.druid.segment.CursorBuildSpec;
import org.apache.druid.segment.CursorFactory;
import org.apache.druid.segment.CursorHolder;
import org.apache.druid.segment.NestedDataColumnIndexerV4;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.ColumnCapabilitiesImpl;
import org.apache.druid.segment.column.ColumnType;
@ -61,13 +60,13 @@ public class IncrementalIndexCursorFactory implements CursorFactory
@Override
public boolean multipleValues()
{
return true;
return false;
}
@Override
public boolean hasNulls()
{
return true;
return false;
}
};
@ -133,26 +132,6 @@ public class IncrementalIndexCursorFactory implements CursorFactory
static ColumnCapabilities snapshotColumnCapabilities(IncrementalIndexRowSelector selector, String column)
{
IncrementalIndex.DimensionDesc desc = selector.getDimension(column);
// nested column indexer is a liar, and behaves like any type if it only processes unnested literals of a single
// type, so force it to use nested column type
if (desc != null && desc.getIndexer() instanceof NestedDataColumnIndexerV4) {
return ColumnCapabilitiesImpl.createDefault().setType(ColumnType.NESTED_DATA);
}
// Different from index.getColumnCapabilities because, in a way, IncrementalIndex's string-typed dimensions
// are always potentially multi-valued at query time. (Missing / null values for a row can potentially be
// represented by an empty array; see StringDimensionIndexer.IndexerDimensionSelector's getRow method.)
//
// We don't want to represent this as having-multiple-values in index.getCapabilities, because that's used
// at index-persisting time to determine if we need a multi-value column or not. However, that means we
// need to tweak the capabilities here in the CursorFactory (a query-time construct), so at query time
// they appear multi-valued.
//
// Note that this could be improved if we snapshot the capabilities at cursor creation time and feed those through
// to the StringDimensionIndexer so the selector built on top of it can produce values from the snapshot state of
// multi-valuedness at cursor creation time, instead of the latest state, and getSnapshotColumnCapabilities could
// be removed.
return ColumnCapabilitiesImpl.snapshot(
selector.getColumnCapabilities(column),
COERCE_LOGIC

9
processing/src/main/java/org/apache/druid/segment/incremental/IncrementalIndexCursorHolder.java
View File

@ -35,6 +35,7 @@ import org.checkerframework.checker.nullness.qual.MonotonicNonNull;
import java.util.Iterator;
import java.util.List;
import java.util.function.Supplier;
public class IncrementalIndexCursorHolder implements CursorHolder
{
@ -76,7 +77,7 @@ public class IncrementalIndexCursorHolder implements CursorHolder
return new IncrementalIndexCursor(
rowSelector,
currentRow,
makeSelectorFactory(spec, currentRow),
() -> makeSelectorFactory(spec, currentRow),
spec,
getTimeOrder(ordering)
);
@ -93,7 +94,7 @@ public class IncrementalIndexCursorHolder implements CursorHolder
return new IncrementalIndexColumnSelectorFactory(
rowSelector,
currEntry,
buildSpec.getVirtualColumns(),
buildSpec,
getTimeOrder()
);
}
@ -113,15 +114,15 @@ public class IncrementalIndexCursorHolder implements CursorHolder
IncrementalIndexCursor(
IncrementalIndexRowSelector rowSelector,
IncrementalIndexRowHolder currentRow,
ColumnSelectorFactory selectorFactory,
Supplier<ColumnSelectorFactory> columnSelectorFactorySupplier,
CursorBuildSpec buildSpec,
Order timeOrder
)
{
currEntry = currentRow;
columnSelectorFactory = selectorFactory;
// Set maxRowIndex before creating the filterMatcher. See https://github.com/apache/druid/pull/6340
maxRowIndex = rowSelector.getLastRowIndex();
columnSelectorFactory = columnSelectorFactorySupplier.get();
numAdvanced = -1;
cursorIterable = rowSelector.getFacts().timeRangeIterable(

2
processing/src/main/java/org/apache/druid/segment/incremental/IncrementalIndexPhysicalSegmentInspector.java
View File

@ -31,7 +31,7 @@ import javax.annotation.Nullable;
public class IncrementalIndexPhysicalSegmentInspector implements PhysicalSegmentInspector
{
private static final ColumnCapabilities.CoercionLogic SNAPSHOT_COERCE_LOGIC =
static final ColumnCapabilities.CoercionLogic SNAPSHOT_COERCE_LOGIC =
new ColumnCapabilities.CoercionLogic()
{
@Override

4
processing/src/main/java/org/apache/druid/segment/incremental/IncrementalIndexRowIterator.java
View File

@ -22,13 +22,13 @@ package org.apache.druid.segment.incremental;
import org.apache.druid.query.Order;
import org.apache.druid.segment.ColumnSelectorFactory;
import org.apache.druid.segment.ColumnValueSelector;
import org.apache.druid.segment.CursorBuildSpec;
import org.apache.druid.segment.DimensionHandler;
import org.apache.druid.segment.IndexableAdapter;
import org.apache.druid.segment.RowNumCounter;
import org.apache.druid.segment.RowPointer;
import org.apache.druid.segment.TimeAndDimsPointer;
import org.apache.druid.segment.TransformableRowIterator;
import org.apache.druid.segment.VirtualColumns;
import java.util.Iterator;
import java.util.List;
@ -68,7 +68,7 @@ class IncrementalIndexRowIterator implements TransformableRowIterator
new IncrementalIndexColumnSelectorFactory(
incrementalIndex,
rowHolder,
VirtualColumns.EMPTY,
CursorBuildSpec.FULL_SCAN,
incrementalIndex.getTimePosition() == 0 ? Order.ASCENDING : Order.NONE
);
ColumnValueSelector[] dimensionSelectors = incrementalIndex

44
processing/src/main/java/org/apache/druid/segment/join/HashJoinSegmentCursorFactory.java
View File

@ -30,6 +30,7 @@ import org.apache.druid.segment.Cursor;
import org.apache.druid.segment.CursorBuildSpec;
import org.apache.druid.segment.CursorFactory;
import org.apache.druid.segment.CursorHolder;
import org.apache.druid.segment.VirtualColumn;
import org.apache.druid.segment.VirtualColumns;
import org.apache.druid.segment.column.ColumnCapabilities;
import org.apache.druid.segment.column.ColumnType;
@ -43,9 +44,11 @@ import org.apache.druid.utils.CloseableUtils;
import javax.annotation.Nullable;
import java.util.Arrays;
import java.util.HashSet;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Optional;
import java.util.Set;
public class HashJoinSegmentCursorFactory implements CursorFactory
{
@ -77,9 +80,23 @@ public class HashJoinSegmentCursorFactory implements CursorFactory
final Filter combinedFilter = baseFilterAnd(spec.getFilter());
// for physical column tracking, we start by copying base spec physical columns
final Set<String> physicalColumns = spec.getPhysicalColumns() != null
? new HashSet<>(spec.getPhysicalColumns())
: null;
if (physicalColumns != null && combinedFilter != null) {
for (String column : combinedFilter.getRequiredColumns()) {
if (!spec.getVirtualColumns().exists(column)) {
physicalColumns.add(column);
}
}
}
if (clauses.isEmpty()) {
// if there are no clauses, we can just use the base cursor directly if we apply the combined filter
final CursorBuildSpec newSpec = cursorBuildSpecBuilder.setFilter(combinedFilter)
.setPhysicalColumns(physicalColumns)
.build();
return baseCursorFactory.makeCursorHolder(newSpec);
}
@ -149,6 +166,33 @@ public class HashJoinSegmentCursorFactory implements CursorFactory
);
cursorBuildSpecBuilder.setVirtualColumns(preJoinVirtualColumns);
// add all base table physical columns if they were originally set
if (physicalColumns != null) {
if (joinFilterSplit.getBaseTableFilter().isPresent()) {
for (String column : joinFilterSplit.getBaseTableFilter().get().getRequiredColumns()) {
if (!spec.getVirtualColumns().exists(column) && !preJoinVirtualColumns.exists(column)) {
physicalColumns.add(column);
}
}
}
for (VirtualColumn virtualColumn : preJoinVirtualColumns.getVirtualColumns()) {
for (String column : virtualColumn.requiredColumns()) {
if (!spec.getVirtualColumns().exists(column) && !preJoinVirtualColumns.exists(column)) {
physicalColumns.add(column);
}
}
}
final Set<String> prefixes = new HashSet<>();
for (JoinableClause clause : clauses) {
prefixes.add(clause.getPrefix());
physicalColumns.addAll(clause.getCondition().getRequiredColumns());
}
for (String prefix : prefixes) {
physicalColumns.removeIf(x -> JoinPrefixUtils.isPrefixedBy(x, prefix));
}
cursorBuildSpecBuilder.setPhysicalColumns(physicalColumns);
}
baseCursorHolder = joinablesCloser.register(baseCursorFactory.makeCursorHolder(cursorBuildSpecBuilder.build()));
}

69
processing/src/main/java/org/apache/druid/segment/join/JoinConditionAnalysis.java
View File

@ -21,6 +21,7 @@ package org.apache.druid.segment.join;
import com.google.common.base.Preconditions;
import org.apache.druid.math.expr.Expr;
import org.apache.druid.math.expr.ExprEval;
import org.apache.druid.math.expr.ExprMacroTable;
import org.apache.druid.math.expr.Exprs;
import org.apache.druid.math.expr.InputBindings;
@ -33,7 +34,6 @@ import java.util.List;
import java.util.Objects;
import java.util.Optional;
import java.util.Set;
import java.util.stream.Collectors;
/**
* Represents analysis of a join condition.
@ -71,17 +71,42 @@ public class JoinConditionAnalysis
this.rightPrefix = Preconditions.checkNotNull(rightPrefix, "rightPrefix");
this.equiConditions = Collections.unmodifiableList(equiConditions);
this.nonEquiConditions = Collections.unmodifiableList(nonEquiConditions);
// if any nonEquiCondition is an expression and it evaluates to false
isAlwaysFalse = nonEquiConditions.stream()
.anyMatch(expr -> expr.isLiteral() && !expr.eval(InputBindings.nilBindings())
.asBoolean());
// if there are no equiConditions and all nonEquiConditions are literals and the evaluate to true
isAlwaysTrue = equiConditions.isEmpty() && nonEquiConditions.stream()
.allMatch(expr -> expr.isLiteral() && expr.eval(
InputBindings.nilBindings()).asBoolean());
canHashJoin = nonEquiConditions.stream().allMatch(Expr::isLiteral);
rightKeyColumns = getEquiConditions().stream().map(Equality::getRightColumn).collect(Collectors.toSet());
requiredColumns = computeRequiredColumns(rightPrefix, equiConditions, nonEquiConditions);
rightKeyColumns = new HashSet<>();
requiredColumns = new HashSet<>();
for (Equality equality : equiConditions) {
final Set<String> requiredLeft = equality.getLeftExpr().analyzeInputs().getRequiredBindings();
requiredColumns.addAll(requiredLeft);
rightKeyColumns.add(equality.getRightColumn());
requiredColumns.add(rightPrefix + equality.getRightColumn());
}
boolean alwaysFalse = false;
boolean alwaysTrue = equiConditions.isEmpty();
boolean hashJoin = true;
for (Expr expr : nonEquiConditions) {
hashJoin = hashJoin && expr.isLiteral();
if (expr.isLiteral()) {
if (hashJoin) {
// we only need to check if allTrue or allFalse if all conditions are literals
final ExprEval<?> eval = expr.eval(InputBindings.nilBindings());
alwaysTrue = alwaysTrue && eval.asBoolean();
// we don't need to check for null here because it is ok to consider UNKNOWN as false because
// UNKNOWN AND <anything> is UNKNOWN, and there is no possibility this condition can be wrapped in a NOT, so
// it is effectively FALSE and we can still short-circuit
alwaysFalse = alwaysFalse || !eval.asBoolean();
}
} else {
requiredColumns.addAll(expr.analyzeInputs().getRequiredBindings());
}
}
isAlwaysTrue = hashJoin && alwaysTrue;
isAlwaysFalse = hashJoin && alwaysFalse;
canHashJoin = hashJoin;
}
/**
@ -222,24 +247,4 @@ public class JoinConditionAnalysis
{
return originalExpression;
}
private static Set<String> computeRequiredColumns(
final String rightPrefix,
final List<Equality> equiConditions,
final List<Expr> nonEquiConditions
)
{
final Set<String> requiredColumns = new HashSet<>();
for (Equality equality : equiConditions) {
requiredColumns.add(rightPrefix + equality.getRightColumn());
requiredColumns.addAll(equality.getLeftExpr().analyzeInputs().getRequiredBindings());
}
for (Expr expr : nonEquiConditions) {
requiredColumns.addAll(expr.analyzeInputs().getRequiredBindings());
}
return requiredColumns;
}
}

10
processing/src/main/java/org/apache/druid/segment/join/JoinableFactoryWrapper.java
View File

@ -55,6 +55,11 @@ public class JoinableFactoryWrapper
this.joinableFactory = Preconditions.checkNotNull(joinableFactory, "joinableFactory");
}
public JoinableFactory getJoinableFactory()
{
return joinableFactory;
}
/**
* Converts any join clauses to filters that can be converted, and returns the rest as-is.
* <p>
@ -192,11 +197,6 @@ public class JoinableFactoryWrapper
return new JoinClauseToFilterConversion(null, false);
}
public JoinableFactory getJoinableFactory()
{
return joinableFactory;
}
/**
* Encapsulates the conversion which happened for a joinable clause.
* convertedFilter represents the filter which got generated from the conversion.

13
processing/src/main/java/org/apache/druid/segment/projections/Projections.java
View File

@ -157,12 +157,14 @@ public class Projections
public static final class ProjectionMatchBuilder
{
private final Set<String> referencedPhysicalColumns;
private final Set<VirtualColumn> referencedVirtualColumns;
private final Map<String, String> remapColumns;
private final List<AggregatorFactory> combiningFactories;
public ProjectionMatchBuilder()
{
this.referencedPhysicalColumns = new HashSet<>();
this.referencedVirtualColumns = new HashSet<>();
this.remapColumns = new HashMap<>();
this.combiningFactories = new ArrayList<>();
@ -177,6 +179,16 @@ public class Projections
return this;
}
/**
* Add a projection physical column, which will later be added to {@link ProjectionMatch#getCursorBuildSpec()} if
* the projection matches
*/
public ProjectionMatchBuilder addReferencedPhysicalColumn(String column)
{
referencedPhysicalColumns.add(column);
return this;
}
/**
* Add a query virtual column that can use projection physical columns as inputs to the match builder, which will
* later be added to {@link ProjectionMatch#getCursorBuildSpec()} if the projection matches
@ -202,6 +214,7 @@ public class Projections
{
return new ProjectionMatch(
CursorBuildSpec.builder(queryCursorBuildSpec)
.setPhysicalColumns(referencedPhysicalColumns)
.setVirtualColumns(VirtualColumns.fromIterable(referencedVirtualColumns))
.setAggregators(combiningFactories)
.build(),

17
processing/src/test/java/org/apache/druid/query/NestedDataTestUtils.java
View File

@ -28,7 +28,6 @@ import org.apache.druid.data.input.InputSource;
import org.apache.druid.data.input.ResourceInputSource;
import org.apache.druid.data.input.impl.DelimitedInputFormat;
import org.apache.druid.data.input.impl.DimensionsSpec;
import org.apache.druid.data.input.impl.JsonInputFormat;
import org.apache.druid.data.input.impl.LocalInputSource;
import org.apache.druid.data.input.impl.TimestampSpec;
import org.apache.druid.guice.BuiltInTypesModule;
@ -36,7 +35,6 @@ import org.apache.druid.java.util.common.StringUtils;
import org.apache.druid.java.util.common.granularity.Granularities;
import org.apache.druid.java.util.common.granularity.Granularity;
import org.apache.druid.java.util.common.io.Closer;
import org.apache.druid.java.util.common.parsers.JSONPathSpec;
import org.apache.druid.query.aggregation.AggregatorFactory;
import org.apache.druid.query.aggregation.CountAggregatorFactory;
import org.apache.druid.query.expression.TestExprMacroTable;
@ -48,6 +46,7 @@ import org.apache.druid.segment.NestedDataColumnSchema;
import org.apache.druid.segment.QueryableIndexSegment;
import org.apache.druid.segment.Segment;
import org.apache.druid.segment.TestHelper;
import org.apache.druid.segment.TestIndex;
import org.apache.druid.segment.column.StringEncodingStrategy;
import org.apache.druid.segment.incremental.IncrementalIndexSchema;
import org.apache.druid.segment.transform.ExpressionTransform;
@ -88,14 +87,6 @@ public class NestedDataTestUtils
public static final TimestampSpec TIMESTAMP_SPEC = new TimestampSpec("timestamp", null, null);
public static final JsonInputFormat DEFAULT_JSON_INPUT_FORMAT = new JsonInputFormat(
JSONPathSpec.DEFAULT,
null,
null,
null,
null
);
public static final DimensionsSpec AUTO_DISCOVERY =
DimensionsSpec.builder()
.useSchemaDiscovery(true)
@ -271,7 +262,7 @@ public class NestedDataTestUtils
return createIncrementalIndex(
tempFolder,
file,
DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
TIMESTAMP_SPEC,
AUTO_DISCOVERY,
TransformSpec.NONE,
@ -294,7 +285,7 @@ public class NestedDataTestUtils
tempFolder,
closer,
inputFile,
DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
TIMESTAMP_SPEC,
AUTO_DISCOVERY,
TransformSpec.NONE,
@ -324,7 +315,7 @@ public class NestedDataTestUtils
tempFolder,
closer,
inputFiles,
DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
TIMESTAMP_SPEC,
AUTO_DISCOVERY,
TransformSpec.NONE,

19
processing/src/test/java/org/apache/druid/query/QueryRunnerTestHelper.java
View File

@ -399,6 +399,7 @@ public class QueryRunnerTestHelper
{
final String runnerName = runner.toString();
return !("rtIndex".equals(runnerName)
|| "rtIndexPartialSchemaStringDiscovery".equals(runnerName)
|| "noRollupRtIndex".equals(runnerName)
|| "nonTimeOrderedRtIndex".equals(runnerName)
|| "nonTimeOrderedNoRollupRtIndex".equals(runnerName));
@ -426,6 +427,10 @@ public class QueryRunnerTestHelper
"rtIndex",
new IncrementalIndexSegment(TestIndex.getIncrementalTestIndex(), SEGMENT_ID)
),
maker.apply(
"rtIndexPartialSchemaStringDiscovery",
new IncrementalIndexSegment(TestIndex.getIncrementalTestIndex(), SEGMENT_ID)
),
maker.apply(
"noRollupRtIndex",
new IncrementalIndexSegment(TestIndex.getNoRollupIncrementalTestIndex(), SEGMENT_ID)
@ -518,20 +523,6 @@ public class QueryRunnerTestHelper
return retVal;
}
public static <T, QueryType extends Query<T>> TestQueryRunner<T> makeQueryRunner(
QueryRunnerFactory<T, QueryType> factory,
String resourceFileName,
final String runnerName
)
{
return makeQueryRunner(
factory,
SEGMENT_ID,
new IncrementalIndexSegment(TestIndex.makeRealtimeIndex(resourceFileName), SEGMENT_ID),
runnerName
);
}
public static <T, QueryType extends Query<T>> TestQueryRunner<T> makeQueryRunner(
QueryRunnerFactory<T, QueryType> factory,
Segment adapter,

2
processing/src/test/java/org/apache/druid/query/aggregation/firstlast/first/StringFirstTimeseriesQueryTest.java
View File

@ -106,7 +106,7 @@ public class StringFirstTimeseriesQueryTest extends InitializedNullHandlingTest
)
);
queryableIndex = TestIndex.persistRealtimeAndLoadMMapped(incrementalIndex);
queryableIndex = TestIndex.persistAndMemoryMap(incrementalIndex);
}
@Test

2
processing/src/test/java/org/apache/druid/query/aggregation/firstlast/last/StringLastTimeseriesQueryTest.java
View File

@ -108,7 +108,7 @@ public class StringLastTimeseriesQueryTest extends InitializedNullHandlingTest
)
);
queryableIndex = TestIndex.persistRealtimeAndLoadMMapped(incrementalIndex);
queryableIndex = TestIndex.persistAndMemoryMap(incrementalIndex);
}
@Test

2
processing/src/test/java/org/apache/druid/query/aggregation/mean/SimpleTestIndex.java
View File

@ -59,7 +59,7 @@ public class SimpleTestIndex
);
private static Supplier<QueryableIndex> mmappedIndex = Suppliers.memoize(
() -> TestIndex.persistRealtimeAndLoadMMapped(realtimeIndex.get())
() -> TestIndex.persistAndMemoryMap(realtimeIndex.get())
);

19
processing/src/test/java/org/apache/druid/query/metadata/SegmentAnalyzerTest.java
View File

@ -20,8 +20,6 @@
package org.apache.druid.query.metadata;
import com.google.common.collect.ImmutableList;
import com.google.common.io.CharSource;
import com.google.common.io.Resources;
import org.apache.druid.data.input.InputRowSchema;
import org.apache.druid.data.input.impl.DimensionSchema;
import org.apache.druid.data.input.impl.DimensionsSpec;
@ -62,7 +60,6 @@ import org.apache.druid.segment.column.ValueType;
import org.apache.druid.segment.data.ObjectStrategy;
import org.apache.druid.segment.incremental.IncrementalIndex;
import org.apache.druid.segment.incremental.IncrementalIndexSchema;
import org.apache.druid.segment.incremental.OnheapIncrementalIndex;
import org.apache.druid.segment.serde.ComplexMetricExtractor;
import org.apache.druid.segment.serde.ComplexMetricSerde;
import org.apache.druid.segment.serde.ComplexMetrics;
@ -77,9 +74,7 @@ import org.junit.rules.TemporaryFolder;
import javax.annotation.Nullable;
import java.io.File;
import java.io.IOException;
import java.net.URL;
import java.nio.ByteBuffer;
import java.nio.charset.StandardCharsets;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Comparator;
@ -302,8 +297,6 @@ public class SegmentAnalyzerTest extends InitializedNullHandlingTest
@Test
public void testAnalyzingSegmentWithNonExistentAggregator() throws IOException
{
final URL resource = SegmentAnalyzerTest.class.getClassLoader().getResource("druid.sample.numeric.tsv");
CharSource source = Resources.asByteSource(resource).asCharSource(StandardCharsets.UTF_8);
String invalid_aggregator = "invalid_aggregator";
AggregatorFactory[] metrics = new AggregatorFactory[]{
new DoubleSumAggregatorFactory(TestIndex.DOUBLE_METRICS[0], "index"),
@ -312,17 +305,17 @@ public class SegmentAnalyzerTest extends InitializedNullHandlingTest
};
final IncrementalIndexSchema schema = new IncrementalIndexSchema.Builder()
.withMinTimestamp(DateTimes.of("2011-01-12T00:00:00.000Z").getMillis())
.withTimestampSpec(new TimestampSpec("ds", "auto", null))
.withTimestampSpec(new TimestampSpec("ts", "auto", null))
.withDimensionsSpec(TestIndex.DIMENSIONS_SPEC)
.withMetrics(metrics)
.withRollup(true)
.build();
final IncrementalIndex retVal = new OnheapIncrementalIndex.Builder()
.setIndexSchema(schema)
.setMaxRowCount(10000)
.build();
IncrementalIndex incrementalIndex = TestIndex.loadIncrementalIndex(retVal, source);
IncrementalIndex incrementalIndex = TestIndex.makeIncrementalIndexFromResource(
TestIndex.SAMPLE_NUMERIC_JSON,
schema,
TestIndex.DEFAULT_JSON_INPUT_FORMAT
);
// Analyze the in-memory segment.
{

2
processing/src/test/java/org/apache/druid/query/metadata/SegmentMetadataQueryTest.java
View File

@ -910,7 +910,7 @@ public class SegmentMetadataQueryTest extends InitializedNullHandlingTest
0,
expectedSegmentAnalysis1.getNumRows() + expectedSegmentAnalysis2.getNumRows(),
null,
new TimestampSpec("ds", "auto", null),
new TimestampSpec("ts", "iso", null),
null,
null
);

4
processing/src/test/java/org/apache/druid/query/scan/MultiSegmentScanQueryTest.java
View File

@ -122,8 +122,8 @@ public class MultiSegmentScanQueryTest extends InitializedNullHandlingTest
CharSource v_0112 = CharSource.wrap(StringUtils.join(V_0112, "\n"));
CharSource v_0113 = CharSource.wrap(StringUtils.join(V_0113, "\n"));
IncrementalIndex index0 = TestIndex.loadIncrementalIndex(newIndex("2011-01-12T00:00:00.000Z"), v_0112);
IncrementalIndex index1 = TestIndex.loadIncrementalIndex(newIndex("2011-01-13T00:00:00.000Z"), v_0113);
IncrementalIndex index0 = TestIndex.loadIncrementalIndexFromTsvCharSource(newIndex("2011-01-12T00:00:00.000Z"), v_0112);
IncrementalIndex index1 = TestIndex.loadIncrementalIndexFromTsvCharSource(newIndex("2011-01-13T00:00:00.000Z"), v_0113);
segment0 = new IncrementalIndexSegment(index0, makeIdentifier(index0, "v1"));
segment1 = new IncrementalIndexSegment(index1, makeIdentifier(index1, "v1"));

31
processing/src/test/java/org/apache/druid/query/scan/NestedDataScanQueryTest.java
View File

@ -46,6 +46,7 @@ import org.apache.druid.query.spec.MultipleIntervalSegmentSpec;
import org.apache.druid.segment.AutoTypeColumnSchema;
import org.apache.druid.segment.IndexSpec;
import org.apache.druid.segment.Segment;
import org.apache.druid.segment.TestIndex;
import org.apache.druid.segment.column.ColumnType;
import org.apache.druid.segment.transform.TransformSpec;
import org.apache.druid.segment.virtual.NestedFieldVirtualColumn;
@ -135,7 +136,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.NUMERIC_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -512,7 +513,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
NestedDataTestUtils.createIncrementalIndex(
tempFolder,
NestedDataTestUtils.TYPES_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -525,7 +526,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.TYPES_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -575,7 +576,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
NestedDataTestUtils.createIncrementalIndex(
tempFolder,
NestedDataTestUtils.TYPES_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
spec,
TransformSpec.NONE,
@ -588,7 +589,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.TYPES_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
spec,
TransformSpec.NONE,
@ -631,7 +632,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
NestedDataTestUtils.createIncrementalIndex(
tempFolder,
NestedDataTestUtils.ARRAY_TYPES_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -644,7 +645,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.ARRAY_TYPES_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -689,7 +690,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
NestedDataTestUtils.createIncrementalIndex(
tempFolder,
NestedDataTestUtils.ARRAY_TYPES_DATA_FILE_2,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -702,7 +703,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.ARRAY_TYPES_DATA_FILE_2,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -756,7 +757,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
NestedDataTestUtils.createIncrementalIndex(
tempFolder,
NestedDataTestUtils.ARRAY_TYPES_DATA_FILE_2,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -769,7 +770,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.ARRAY_TYPES_DATA_FILE_2,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -819,7 +820,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
NestedDataTestUtils.createIncrementalIndex(
tempFolder,
NestedDataTestUtils.ALL_TYPES_TEST_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -832,7 +833,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.ALL_TYPES_TEST_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -1003,7 +1004,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
NestedDataTestUtils.createIncrementalIndex(
tempFolder,
NestedDataTestUtils.ALL_TYPES_TEST_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -1016,7 +1017,7 @@ public class NestedDataScanQueryTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.ALL_TYPES_TEST_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,

2
processing/src/test/java/org/apache/druid/query/search/SearchQueryRunnerTest.java
View File

@ -766,7 +766,7 @@ public class SearchQueryRunnerTest extends InitializedNullHandlingTest
QueryRunnerTestHelper.NOOP_QUERYWATCHER
);
QueryRunner runner = factory.createRunner(
new QueryableIndexSegment(TestIndex.persistRealtimeAndLoadMMapped(index), SegmentId.dummy("asdf"))
new QueryableIndexSegment(TestIndex.persistAndMemoryMap(index), SegmentId.dummy("asdf"))
);
List<SearchHit> expectedHits = new ArrayList<>();
expectedHits.add(new SearchHit("table", "table", 1));

8
processing/src/test/java/org/apache/druid/query/search/SearchQueryRunnerWithCaseTest.java
View File

@ -73,11 +73,11 @@ public class SearchQueryRunnerWithCaseTest extends InitializedNullHandlingTest
"2011-01-13T00:00:00.000Z\tspot\tautomotive\t1000\t10000.0\t10000.0\t100000\t10\t10.0\t10.0\tpreferred\ta\u0001preferred\t94.874713"
);
IncrementalIndex index1 = TestIndex.makeRealtimeIndex(input);
IncrementalIndex index2 = TestIndex.makeRealtimeIndex(input);
IncrementalIndex index1 = TestIndex.makeIncrementalIndexFromTsvCharSource(input);
IncrementalIndex index2 = TestIndex.makeIncrementalIndexFromTsvCharSource(input);
QueryableIndex index3 = TestIndex.persistRealtimeAndLoadMMapped(index1);
QueryableIndex index4 = TestIndex.persistRealtimeAndLoadMMapped(index2);
QueryableIndex index3 = TestIndex.persistAndMemoryMap(index1);
QueryableIndex index4 = TestIndex.persistAndMemoryMap(index2);
final List<QueryRunner<Result<SearchResultValue>>> runners = new ArrayList<>();
for (SearchQueryConfig config : configs) {

4
processing/src/test/java/org/apache/druid/query/timeboundary/TimeBoundaryQueryRunnerTest.java
View File

@ -152,8 +152,8 @@ public class TimeBoundaryQueryRunnerTest extends InitializedNullHandlingTest
CharSource v_0112 = CharSource.wrap(StringUtils.join(V_0112, "\n"));
CharSource v_0113 = CharSource.wrap(StringUtils.join(V_0113, "\n"));
IncrementalIndex index0 = TestIndex.loadIncrementalIndex(newIndex("2011-01-12T00:00:00.000Z"), v_0112);
IncrementalIndex index1 = TestIndex.loadIncrementalIndex(newIndex("2011-01-14T00:00:00.000Z"), v_0113);
IncrementalIndex index0 = TestIndex.loadIncrementalIndexFromTsvCharSource(newIndex("2011-01-12T00:00:00.000Z"), v_0112);
IncrementalIndex index1 = TestIndex.loadIncrementalIndexFromTsvCharSource(newIndex("2011-01-14T00:00:00.000Z"), v_0113);
segment0 = new IncrementalIndexSegment(index0, makeIdentifier(index0, "v1"));
segment1 = new IncrementalIndexSegment(index1, makeIdentifier(index1, "v1"));

4
processing/src/test/java/org/apache/druid/segment/CustomSegmentizerFactoryTest.java
View File

@ -77,7 +77,7 @@ public class CustomSegmentizerFactoryTest extends InitializedNullHandlingTest
@Test
public void testDefaultSegmentizerPersist() throws IOException
{
IncrementalIndex data = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv");
IncrementalIndex data = TestIndex.makeSampleNumericIncrementalIndex();
File segment = new File(temporaryFolder.newFolder(), "segment");
File persisted = INDEX_MERGER.persist(
data,
@ -96,7 +96,7 @@ public class CustomSegmentizerFactoryTest extends InitializedNullHandlingTest
@Test
public void testCustomSegmentizerPersist() throws IOException
{
IncrementalIndex data = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv");
IncrementalIndex data = TestIndex.makeSampleNumericIncrementalIndex();
File segment = new File(temporaryFolder.newFolder(), "segment");
File persisted = INDEX_MERGER.persist(
data,

2
processing/src/test/java/org/apache/druid/segment/SchemalessIndexTest.java
View File

@ -171,7 +171,7 @@ public class SchemalessIndexTest
count++;
}
QueryableIndex retVal = TestIndex.persistRealtimeAndLoadMMapped(theIndex);
QueryableIndex retVal = TestIndex.persistAndMemoryMap(theIndex);
entry.put(index2, retVal);
return retVal;
}

2
processing/src/test/java/org/apache/druid/segment/SchemalessTestSimpleTest.java
View File

@ -83,7 +83,7 @@ public class SchemalessTestSimpleTest extends InitializedNullHandlingTest
for (SegmentWriteOutMediumFactory segmentWriteOutMediumFactory : SegmentWriteOutMediumFactory.builtInFactories()) {
SchemalessIndexTest schemalessIndexTest = new SchemalessIndexTest(segmentWriteOutMediumFactory);
final IncrementalIndex incrementalIndex = SchemalessIndexTest.getIncrementalIndex();
final QueryableIndex persistedIncrementalIndex = TestIndex.persistRealtimeAndLoadMMapped(incrementalIndex);
final QueryableIndex persistedIncrementalIndex = TestIndex.persistAndMemoryMap(incrementalIndex);
final QueryableIndex mergedIncrementalIndex = schemalessIndexTest.getMergedIncrementalIndex();
argumentArrays.add(new Object[] {new IncrementalIndexSegment(incrementalIndex, null), false});
argumentArrays.add(new Object[] {new QueryableIndexSegment(persistedIncrementalIndex, null), false});

3
processing/src/test/java/org/apache/druid/segment/TestHelper.java
View File

@ -447,6 +447,9 @@ public class TestHelper
);
}
} else if (expectedValue instanceof Float || expectedValue instanceof Double) {
if (actualValue == null) {
Assert.fail(message + ": failed because expected numeric value is actually null");
}
Assert.assertEquals(
message,
((Number) expectedValue).doubleValue(),

305
processing/src/test/java/org/apache/druid/segment/TestIndex.java
View File

@ -21,15 +21,18 @@ package org.apache.druid.segment;
import com.google.common.base.Supplier;
import com.google.common.base.Suppliers;
import com.google.common.collect.ImmutableList;
import com.google.common.io.CharSource;
import com.google.common.io.LineProcessor;
import com.google.common.io.Resources;
import org.apache.druid.data.input.InputFormat;
import org.apache.druid.data.input.ResourceInputSource;
import org.apache.druid.data.input.impl.DelimitedParseSpec;
import org.apache.druid.data.input.impl.DimensionSchema;
import org.apache.druid.data.input.impl.DimensionsSpec;
import org.apache.druid.data.input.impl.DoubleDimensionSchema;
import org.apache.druid.data.input.impl.FloatDimensionSchema;
import org.apache.druid.data.input.impl.JsonInputFormat;
import org.apache.druid.data.input.impl.LongDimensionSchema;
import org.apache.druid.data.input.impl.StringDimensionSchema;
import org.apache.druid.data.input.impl.StringInputRowParser;
@ -38,7 +41,7 @@ import org.apache.druid.java.util.common.DateTimes;
import org.apache.druid.java.util.common.FileUtils;
import org.apache.druid.java.util.common.Intervals;
import org.apache.druid.java.util.common.logger.Logger;
import org.apache.druid.query.NestedDataTestUtils;
import org.apache.druid.java.util.common.parsers.JSONPathSpec;
import org.apache.druid.query.aggregation.AggregatorFactory;
import org.apache.druid.query.aggregation.DoubleMaxAggregatorFactory;
import org.apache.druid.query.aggregation.DoubleMinAggregatorFactory;
@ -69,12 +72,17 @@ import java.util.Arrays;
import java.util.Collections;
import java.util.List;
import java.util.concurrent.atomic.AtomicLong;
import java.util.stream.Collectors;
/**
*
*/
public class TestIndex
{
public static final String SAMPLE_NUMERIC_JSON = "druid.sample.numeric.json";
public static final String SAMPLE_NUMERIC_JSON_TOP = "druid.sample.numeric.top.json";
public static final String SAMPLE_NUMERIC_JSON_BOTTOM = "druid.sample.numeric.bottom.json";
public static final String[] COLUMNS = new String[]{
"ts",
"market",
@ -108,7 +116,6 @@ public class TestIndex
new DoubleDimensionSchema("doubleNumericNull"),
new StringDimensionSchema("placement"),
new StringDimensionSchema("placementish"),
new StringDimensionSchema("partial_null_column"),
new StringDimensionSchema("null_column")
);
@ -146,6 +153,10 @@ public class TestIndex
);
public static final DimensionsSpec DIMENSIONS_SPEC = new DimensionsSpec(DIMENSION_SCHEMAS);
public static final DimensionsSpec DIMENSIONS_SPEC_PARTIAL_NO_STRINGS =
new DimensionsSpec(
DIMENSION_SCHEMAS.stream().filter(x -> !(x instanceof StringDimensionSchema)).collect(Collectors.toList())
);
public static final DimensionsSpec DIMENSIONS_SPEC_NON_TIME_ORDERED =
new DimensionsSpec(DIMENSION_SCHEMAS_NON_TIME_ORDERED);
public static final DimensionsSpec DIMENSIONS_SPEC_NO_BITMAPS = new DimensionsSpec(DIMENSION_SCHEMAS_NO_BITMAP);
@ -170,6 +181,14 @@ public class TestIndex
};
public static final IndexSpec INDEX_SPEC = IndexSpec.DEFAULT;
public static final JsonInputFormat DEFAULT_JSON_INPUT_FORMAT = new JsonInputFormat(
JSONPathSpec.DEFAULT,
null,
null,
null,
null
);
public static final IndexMerger INDEX_MERGER =
TestHelper.getTestIndexMergerV9(OffHeapMemorySegmentWriteOutMediumFactory.instance());
public static final IndexIO INDEX_IO = TestHelper.getTestIndexIO();
@ -179,46 +198,53 @@ public class TestIndex
}
private static Supplier<IncrementalIndex> realtimeIndex = Suppliers.memoize(
() -> makeRealtimeIndex("druid.sample.numeric.tsv")
TestIndex::makeSampleNumericIncrementalIndex
);
private static Supplier<IncrementalIndex> realtimeIndexPartialSchemaLegacyStringDiscovery = Suppliers.memoize(
() -> fromJsonResource(
SAMPLE_NUMERIC_JSON,
true,
DIMENSIONS_SPEC_PARTIAL_NO_STRINGS
)
);
private static Supplier<IncrementalIndex> nonTimeOrderedRealtimeIndex = Suppliers.memoize(
() -> makeRealtimeIndex("druid.sample.numeric.tsv", true, DIMENSIONS_SPEC_NON_TIME_ORDERED)
() -> fromJsonResource(SAMPLE_NUMERIC_JSON, true, DIMENSIONS_SPEC_NON_TIME_ORDERED)
);
private static Supplier<IncrementalIndex> nonTimeOrderedNoRollupRealtimeIndex = Suppliers.memoize(
() -> makeRealtimeIndex("druid.sample.numeric.tsv", false, DIMENSIONS_SPEC_NON_TIME_ORDERED)
() -> fromJsonResource(SAMPLE_NUMERIC_JSON, false, DIMENSIONS_SPEC_NON_TIME_ORDERED)
);
private static Supplier<IncrementalIndex> noRollupRealtimeIndex = Suppliers.memoize(
() -> makeRealtimeIndex("druid.sample.numeric.tsv", false)
() -> fromJsonResource(SAMPLE_NUMERIC_JSON, false, DIMENSIONS_SPEC)
);
private static Supplier<IncrementalIndex> noBitmapRealtimeIndex = Suppliers.memoize(
() -> makeRealtimeIndex("druid.sample.numeric.tsv", false, DIMENSIONS_SPEC_NO_BITMAPS)
() -> fromJsonResource(SAMPLE_NUMERIC_JSON, false, DIMENSIONS_SPEC_NO_BITMAPS)
);
private static Supplier<QueryableIndex> mmappedIndex = Suppliers.memoize(
() -> persistRealtimeAndLoadMMapped(realtimeIndex.get())
() -> persistAndMemoryMap(makeSampleNumericIncrementalIndex())
);
private static Supplier<QueryableIndex> mmappedIndexCompressedComplex = Suppliers.memoize(
() -> persistRealtimeAndLoadMMapped(
realtimeIndex.get(),
() -> persistAndMemoryMap(
makeSampleNumericIncrementalIndex(),
IndexSpec.builder().withComplexMetricCompression(CompressionStrategy.LZ4).build()
)
);
private static Supplier<QueryableIndex> nonTimeOrderedMmappedIndex = Suppliers.memoize(
() -> persistRealtimeAndLoadMMapped(nonTimeOrderedRealtimeIndex.get())
() -> persistAndMemoryMap(fromJsonResource(SAMPLE_NUMERIC_JSON, true, DIMENSIONS_SPEC_NON_TIME_ORDERED))
);
private static Supplier<QueryableIndex> nonTimeOrderedNoRollupMmappedIndex = Suppliers.memoize(
() -> persistRealtimeAndLoadMMapped(nonTimeOrderedNoRollupRealtimeIndex.get())
() -> persistAndMemoryMap(fromJsonResource(SAMPLE_NUMERIC_JSON, false, DIMENSIONS_SPEC_NON_TIME_ORDERED))
);
private static Supplier<QueryableIndex> noRollupMmappedIndex = Suppliers.memoize(
() -> persistRealtimeAndLoadMMapped(noRollupRealtimeIndex.get())
() -> persistAndMemoryMap(fromJsonResource(SAMPLE_NUMERIC_JSON, false, DIMENSIONS_SPEC))
);
private static Supplier<QueryableIndex> noBitmapMmappedIndex = Suppliers.memoize(
() -> persistRealtimeAndLoadMMapped(noBitmapRealtimeIndex.get())
() -> persistAndMemoryMap(fromJsonResource(SAMPLE_NUMERIC_JSON, false, DIMENSIONS_SPEC_NO_BITMAPS))
);
private static Supplier<QueryableIndex> mergedRealtime = Suppliers.memoize(() -> {
try {
IncrementalIndex top = makeRealtimeIndex("druid.sample.numeric.tsv.top");
IncrementalIndex bottom = makeRealtimeIndex("druid.sample.numeric.tsv.bottom");
IncrementalIndex top = makeSampleNumericTopIncrementalIndex();
IncrementalIndex bottom = makeSampleNumericBottomIncrementalIndex();
File tmpFile = File.createTempFile("yay", "who");
tmpFile.delete();
@ -254,8 +280,8 @@ public class TestIndex
}
});
private static Supplier<QueryableIndex> frontCodedMmappedIndex = Suppliers.memoize(
() -> persistRealtimeAndLoadMMapped(
realtimeIndex.get(),
() -> persistAndMemoryMap(
makeSampleNumericIncrementalIndex(),
IndexSpec.builder()
.withStringDictionaryEncoding(
new StringEncodingStrategy.FrontCoded(4, FrontCodedIndexed.V1)
@ -264,7 +290,7 @@ public class TestIndex
)
);
private static Supplier<QueryableIndex> wikipediaMMappedIndex = Suppliers.memoize(
() -> persistRealtimeAndLoadMMapped(makeWikipediaIncrementalIndex())
() -> persistAndMemoryMap(makeWikipediaIncrementalIndex())
);
public static IncrementalIndex getIncrementalTestIndex()
@ -272,6 +298,11 @@ public class TestIndex
return realtimeIndex.get();
}
public static IncrementalIndex getIncrementalTestIndexPartialSchemaLegacyStringDiscovery()
{
return realtimeIndexPartialSchemaLegacyStringDiscovery.get();
}
public static IncrementalIndex getNoRollupIncrementalTestIndex()
{
return noRollupRealtimeIndex.get();
@ -337,26 +368,143 @@ public class TestIndex
return mmappedIndexCompressedComplex.get();
}
public static IncrementalIndex makeRealtimeIndex(final String resourceFilename)
public static IncrementalIndex makeSampleNumericIncrementalIndex()
{
return makeRealtimeIndex(resourceFilename, true);
return fromJsonResource(
SAMPLE_NUMERIC_JSON,
true,
DIMENSIONS_SPEC
);
}
public static IncrementalIndex makeRealtimeIndex(final String resourceFilename, boolean rollup)
public static IncrementalIndex makeSampleNumericTopIncrementalIndex()
{
return makeRealtimeIndex(resourceFilename, rollup, DIMENSIONS_SPEC);
return fromJsonResource(
SAMPLE_NUMERIC_JSON_TOP,
true,
DIMENSIONS_SPEC
);
}
public static IncrementalIndex makeRealtimeIndex(
public static IncrementalIndex makeSampleNumericBottomIncrementalIndex()
{
return fromJsonResource(
SAMPLE_NUMERIC_JSON_BOTTOM,
true,
DIMENSIONS_SPEC
);
}
private static IncrementalIndex fromJsonResource(
final String resourceFilename,
boolean rollup,
DimensionsSpec dimensionsSpec
)
{
CharSource stream = getResourceCharSource(resourceFilename);
return makeRealtimeIndex(stream, rollup, dimensionsSpec);
return makeIncrementalIndexFromResource(
resourceFilename,
new IncrementalIndexSchema.Builder()
.withMinTimestamp(DateTimes.of("2011-01-12T00:00:00.000Z").getMillis())
.withTimestampSpec(new TimestampSpec("ts", "iso", null))
.withDimensionsSpec(DimensionsSpec.builder().setDimensions(dimensionsSpec.getDimensions()).setDimensionExclusions(ImmutableList.of("index")).setIncludeAllDimensions(true).build())
.withVirtualColumns(VIRTUAL_COLUMNS)
.withMetrics(METRIC_AGGS)
.withRollup(rollup)
.build(),
DEFAULT_JSON_INPUT_FORMAT
);
}
public static IncrementalIndex makeWikipediaIncrementalIndex()
{
return makeIncrementalIndexFromResource(
"wikipedia/wikiticker-2015-09-12-sampled.json.gz",
IncrementalIndexSchema.builder()
.withRollup(false)
.withTimestampSpec(new TimestampSpec("time", null, null))
.withDimensionsSpec(
DimensionsSpec.builder()
.setDimensions(
Arrays.asList(
new StringDimensionSchema("channel"),
new StringDimensionSchema("cityName"),
new StringDimensionSchema("comment"),
new StringDimensionSchema("countryIsoCode"),
new StringDimensionSchema("countryName"),
new StringDimensionSchema("isAnonymous"),
new StringDimensionSchema("isMinor"),
new StringDimensionSchema("isNew"),
new StringDimensionSchema("isRobot"),
new StringDimensionSchema("isUnpatrolled"),
new StringDimensionSchema("metroCode"),
new StringDimensionSchema("namespace"),
new StringDimensionSchema("page"),
new StringDimensionSchema("regionIsoCode"),
new StringDimensionSchema("regionName"),
new StringDimensionSchema("user"),
new LongDimensionSchema("delta"),
new LongDimensionSchema("added"),
new LongDimensionSchema("deleted")
)
)
.build()
)
.build(),
DEFAULT_JSON_INPUT_FORMAT
);
}
public static IncrementalIndex makeIncrementalIndexFromResource(
final String resourceFilename,
IncrementalIndexSchema schema,
InputFormat inputFormat
)
{
File tmpDir = null;
try {
tmpDir = FileUtils.createTempDir("test-index-input-source");
return IndexBuilder
.create()
.tmpDir(tmpDir)
.segmentWriteOutMediumFactory(OffHeapMemorySegmentWriteOutMediumFactory.instance())
.schema(schema)
.inputSource(ResourceInputSource.of(TestIndex.class.getClassLoader(), resourceFilename))
.inputFormat(inputFormat)
.inputTmpDir(new File(tmpDir, resourceFilename))
.buildIncrementalIndex();
}
finally {
try {
FileUtils.deleteDirectory(tmpDir);
}
catch (IOException e) {
throw new RuntimeException(e);
}
}
}
public static QueryableIndex persistAndMemoryMap(IncrementalIndex index)
{
return persistAndMemoryMap(index, INDEX_SPEC);
}
public static QueryableIndex persistAndMemoryMap(IncrementalIndex index, IndexSpec indexSpec)
{
try {
File someTmpFile = File.createTempFile("billy", "yay");
someTmpFile.delete();
FileUtils.mkdirp(someTmpFile);
someTmpFile.deleteOnExit();
INDEX_MERGER.persist(index, someTmpFile, indexSpec, null);
return INDEX_IO.loadIndex(someTmpFile);
}
catch (IOException e) {
throw new RuntimeException(e);
}
}
public static CharSource getResourceCharSource(final String resourceFilename)
{
final URL resource = TestIndex.class.getClassLoader().getResource(resourceFilename);
@ -367,24 +515,15 @@ public class TestIndex
return Resources.asByteSource(resource).asCharSource(StandardCharsets.UTF_8);
}
public static IncrementalIndex makeRealtimeIndex(final CharSource source)
{
return makeRealtimeIndex(source, true, DIMENSIONS_SPEC);
}
public static IncrementalIndex makeRealtimeIndex(
final CharSource source,
boolean rollup,
DimensionsSpec dimensionsSpec
)
public static IncrementalIndex makeIncrementalIndexFromTsvCharSource(final CharSource source)
{
final IncrementalIndexSchema schema = new IncrementalIndexSchema.Builder()
.withMinTimestamp(DateTimes.of("2011-01-12T00:00:00.000Z").getMillis())
.withTimestampSpec(new TimestampSpec("ds", "auto", null))
.withDimensionsSpec(dimensionsSpec)
.withDimensionsSpec(DIMENSIONS_SPEC)
.withVirtualColumns(VIRTUAL_COLUMNS)
.withMetrics(METRIC_AGGS)
.withRollup(rollup)
.withRollup(true)
.build();
final IncrementalIndex retVal = new OnheapIncrementalIndex.Builder()
.setIndexSchema(schema)
@ -392,75 +531,14 @@ public class TestIndex
.build();
try {
return loadIncrementalIndex(retVal, source);
return loadIncrementalIndexFromTsvCharSource(retVal, source);
}
catch (Exception e) {
if (rollup) {
realtimeIndex = null;
} else {
noRollupRealtimeIndex = null;
}
throw new RuntimeException(e);
}
}
public static IncrementalIndex makeWikipediaIncrementalIndex()
{
final List<DimensionSchema> dimensions = Arrays.asList(
new StringDimensionSchema("channel"),
new StringDimensionSchema("cityName"),
new StringDimensionSchema("comment"),
new StringDimensionSchema("countryIsoCode"),
new StringDimensionSchema("countryName"),
new StringDimensionSchema("isAnonymous"),
new StringDimensionSchema("isMinor"),
new StringDimensionSchema("isNew"),
new StringDimensionSchema("isRobot"),
new StringDimensionSchema("isUnpatrolled"),
new StringDimensionSchema("metroCode"),
new StringDimensionSchema("namespace"),
new StringDimensionSchema("page"),
new StringDimensionSchema("regionIsoCode"),
new StringDimensionSchema("regionName"),
new StringDimensionSchema("user"),
new LongDimensionSchema("delta"),
new LongDimensionSchema("added"),
new LongDimensionSchema("deleted")
);
final File tmpDir;
try {
tmpDir = FileUtils.createTempDir("test-index-input-source");
try {
return IndexBuilder
.create()
.segmentWriteOutMediumFactory(OffHeapMemorySegmentWriteOutMediumFactory.instance())
.schema(new IncrementalIndexSchema.Builder()
.withRollup(false)
.withTimestampSpec(new TimestampSpec("time", null, null))
.withDimensionsSpec(new DimensionsSpec(dimensions))
.build()
)
.inputSource(
ResourceInputSource.of(
TestIndex.class.getClassLoader(),
"wikipedia/wikiticker-2015-09-12-sampled.json.gz"
)
)
.inputFormat(NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT)
.inputTmpDir(new File(tmpDir, "tmpWikipedia1"))
.buildIncrementalIndex();
}
finally {
FileUtils.deleteDirectory(tmpDir);
}
}
catch (IOException e) {
throw new RuntimeException(e);
}
}
public static IncrementalIndex loadIncrementalIndex(
public static IncrementalIndex loadIncrementalIndexFromTsvCharSource(
final IncrementalIndex retVal,
final CharSource source
) throws IOException
@ -477,10 +555,10 @@ public class TestIndex
),
"utf8"
);
return loadIncrementalIndex(() -> retVal, source, parser);
return loadIncrementalIndexFromCharSource(() -> retVal, source, parser);
}
public static IncrementalIndex loadIncrementalIndex(
public static IncrementalIndex loadIncrementalIndexFromCharSource(
final Supplier<IncrementalIndex> indexSupplier,
final CharSource source,
final StringInputRowParser parser
@ -519,25 +597,4 @@ public class TestIndex
return retVal;
}
public static QueryableIndex persistRealtimeAndLoadMMapped(IncrementalIndex index)
{
return persistRealtimeAndLoadMMapped(index, INDEX_SPEC);
}
public static QueryableIndex persistRealtimeAndLoadMMapped(IncrementalIndex index, IndexSpec indexSpec)
{
try {
File someTmpFile = File.createTempFile("billy", "yay");
someTmpFile.delete();
FileUtils.mkdirp(someTmpFile);
someTmpFile.deleteOnExit();
INDEX_MERGER.persist(index, someTmpFile, indexSpec, null);
return INDEX_IO.loadIndex(someTmpFile);
}
catch (IOException e) {
throw new RuntimeException(e);
}
}
}

2
processing/src/test/java/org/apache/druid/segment/UnnestCursorFactoryTest.java
View File

@ -141,7 +141,7 @@ public class UnnestCursorFactoryTest extends InitializedNullHandlingTest
)
.indexSpec(IndexSpec.DEFAULT)
.inputSource(inputSource)
.inputFormat(NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT)
.inputFormat(TestIndex.DEFAULT_JSON_INPUT_FORMAT)
.transform(TransformSpec.NONE)
.inputTmpDir(tmp.newFolder());
QUERYABLE_INDEX = CLOSER.register(bob.buildMMappedIndex());

16
processing/src/test/java/org/apache/druid/segment/incremental/IncrementalIndexCursorFactoryTest.java
View File

@ -234,10 +234,10 @@ public class IncrementalIndexCursorFactoryTest extends InitializedNullHandlingTe
Assert.assertEquals(2, results.size());
ResultRow row = results.get(0);
Assert.assertArrayEquals(new Object[]{NullHandling.defaultStringValue(), "bo", 1L}, row.getArray());
Assert.assertArrayEquals(new Object[]{null, "bo", 1L}, row.getArray());
row = results.get(1);
Assert.assertArrayEquals(new Object[]{"hi", NullHandling.defaultStringValue(), 1L}, row.getArray());
Assert.assertArrayEquals(new Object[]{"hi", null, 1L}, row.getArray());
}
@Test
@ -297,7 +297,7 @@ public class IncrementalIndexCursorFactoryTest extends InitializedNullHandlingTe
Assert.assertEquals(2, results.size());
ResultRow row = results.get(0);
Assert.assertArrayEquals(new Object[]{"hi", NullHandling.defaultStringValue(), 1L, 2.0}, row.getArray());
Assert.assertArrayEquals(new Object[]{"hi", null, 1L, 2.0}, row.getArray());
row = results.get(1);
Assert.assertArrayEquals(
@ -446,7 +446,7 @@ public class IncrementalIndexCursorFactoryTest extends InitializedNullHandlingTe
Assert.assertEquals(1, results.size());
ResultRow row = results.get(0);
Assert.assertArrayEquals(new Object[]{"hi", NullHandling.defaultStringValue(), 1L}, row.getArray());
Assert.assertArrayEquals(new Object[]{"hi", null, 1L}, row.getArray());
}
@Test
@ -629,15 +629,15 @@ public class IncrementalIndexCursorFactoryTest extends InitializedNullHandlingTe
IndexedInts rowC = dimSelector1C.getRow();
rowC.forEach(i -> Assert.assertTrue(i < cardinalityA));
IndexedInts rowD = dimSelector2D.getRow();
// no null id, so should get empty dims array
Assert.assertEquals(0, rowD.size());
Assert.assertEquals(1, rowD.size());
Assert.assertEquals(1, rowD.get(0));
IndexedInts rowE = dimSelector3E.getRow();
if (NullHandling.replaceWithDefault()) {
Assert.assertEquals(1, rowE.size());
// the null id
Assert.assertEquals(0, rowE.get(0));
} else {
Assert.assertEquals(0, rowE.size());
Assert.assertEquals(1, rowE.size());
Assert.assertEquals(1, rowE.get(0));
}
cursor.advance();
rowNumInCursor++;

2
processing/src/test/java/org/apache/druid/segment/join/table/BroadcastSegmentIndexedTableTest.java
View File

@ -118,7 +118,7 @@ public class BroadcastSegmentIndexedTableTest extends InitializedNullHandlingTes
final IndexMerger indexMerger =
new IndexMergerV9(mapper, indexIO, OffHeapMemorySegmentWriteOutMediumFactory.instance());
Interval testInterval = Intervals.of("2011-01-12T00:00:00.000Z/2011-05-01T00:00:00.000Z");
IncrementalIndex data = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv");
IncrementalIndex data = TestIndex.makeSampleNumericIncrementalIndex();
File segment = new File(temporaryFolder.newFolder(), "segment");
File persisted = indexMerger.persist(
data,

2
processing/src/test/java/org/apache/druid/segment/loading/BroadcastJoinableMMappedQueryableSegmentizerFactoryTest.java
View File

@ -84,7 +84,7 @@ public class BroadcastJoinableMMappedQueryableSegmentizerFactoryTest extends Ini
KEY_COLUMNS
);
Interval testInterval = Intervals.of("2011-01-12T00:00:00.000Z/2011-05-01T00:00:00.000Z");
IncrementalIndex data = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv");
IncrementalIndex data = TestIndex.makeSampleNumericIncrementalIndex();
List<String> columnNames = data.getColumnNames();
File segment = new File(temporaryFolder.newFolder(), "segment");

5
processing/src/test/java/org/apache/druid/segment/nested/NestedFieldColumnSelectorsTest.java
View File

@ -37,6 +37,7 @@ import org.apache.druid.segment.DoubleColumnSelector;
import org.apache.druid.segment.IndexSpec;
import org.apache.druid.segment.LongColumnSelector;
import org.apache.druid.segment.Segment;
import org.apache.druid.segment.TestIndex;
import org.apache.druid.segment.VirtualColumns;
import org.apache.druid.segment.column.ColumnType;
import org.apache.druid.segment.transform.TransformSpec;
@ -333,7 +334,7 @@ public class NestedFieldColumnSelectorsTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.NUMERIC_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,
@ -358,7 +359,7 @@ public class NestedFieldColumnSelectorsTest extends InitializedNullHandlingTest
tempFolder,
closer,
NestedDataTestUtils.NUMERIC_DATA_FILE,
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
NestedDataTestUtils.TIMESTAMP_SPEC,
NestedDataTestUtils.AUTO_DISCOVERY,
TransformSpec.NONE,

46
processing/src/test/java/org/apache/druid/segment/virtual/ExpressionSelectorsTest.java
View File

@ -70,7 +70,6 @@ import org.junit.BeforeClass;
import org.junit.Test;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
public class ExpressionSelectorsTest extends InitializedNullHandlingTest
@ -616,7 +615,7 @@ public class ExpressionSelectorsTest extends InitializedNullHandlingTest
// DimensionSelector.nameLookupPossibleInAdvance in the indexers of an IncrementalIndex, which resulted in an
// exception trying to make an optimized string expression selector that was not appropriate to use for the
// underlying dimension selector.
// This occurred during schemaless ingestion with spare dimension values and no explicit null rows, so the
// This occurred during schemaless ingestion with sparse dimension values and no explicit null rows, so the
// conditions are replicated by this test. See https://github.com/apache/druid/pull/10248 for details
IncrementalIndexSchema schema = IncrementalIndexSchema.builder()
.withTimestampSpec(new TimestampSpec("time", "millis", DateTimes.nowUtc()))
@ -656,10 +655,8 @@ public class ExpressionSelectorsTest extends InitializedNullHandlingTest
while (!cursor.isDone()) {
Object x = xExprSelector.getObject();
Object y = yExprSelector.getObject();
List<String> expectedFoo = Collections.singletonList("foofoo");
List<String> expectedNull = NullHandling.replaceWithDefault()
? Collections.singletonList("foo")
: Collections.singletonList(null);
String expectedFoo = "foofoo";
String expectedNull = NullHandling.replaceWithDefault() ? "foo" : null;
if (rowCount == 0) {
Assert.assertEquals(expectedFoo, x);
Assert.assertEquals(expectedNull, y);
@ -675,6 +672,43 @@ public class ExpressionSelectorsTest extends InitializedNullHandlingTest
}
}
@Test
public void test_incrementalIndexStringSelectorCast() throws IndexSizeExceededException
{
IncrementalIndexSchema schema = IncrementalIndexSchema.builder()
.withTimestampSpec(new TimestampSpec("time", "millis", DateTimes.nowUtc()))
.withMetrics(new AggregatorFactory[]{new CountAggregatorFactory("count")})
.build();
IncrementalIndex index = new OnheapIncrementalIndex.Builder().setMaxRowCount(100).setIndexSchema(schema).build();
index.add(
new MapBasedInputRow(
DateTimes.nowUtc().getMillis(),
ImmutableList.of("x"),
ImmutableMap.of("x", "1.1")
)
);
IncrementalIndexCursorFactory cursorFactory = new IncrementalIndexCursorFactory(index);
try (final CursorHolder cursorHolder = cursorFactory.makeCursorHolder(CursorBuildSpec.FULL_SCAN)) {
Cursor cursor = cursorHolder.asCursor();
ColumnValueSelector<?> xExprSelector = ExpressionSelectors.makeColumnValueSelector(
cursor.getColumnSelectorFactory(),
Parser.parse("cast(x, 'DOUBLE')", ExprMacroTable.nil())
);
int rowCount = 0;
while (!cursor.isDone()) {
Object x = xExprSelector.getObject();
double expectedFoo = 1.1;
Assert.assertEquals(expectedFoo, x);
rowCount++;
cursor.advance();
}
Assert.assertEquals(1, rowCount);
}
}
private static DimensionSelector dimensionSelectorFromSupplier(
final Supplier<String> supplier
)

732
processing/src/test/resources/druid.sample.numeric.bottom.json Normal file
View File

@ -0,0 +1,732 @@
{"ts":"2011-01-12T00:00:00.000Z","market":"spot","quality":"business","qualityLong":1100,"qualityFloat":11000,"qualityDouble":11000,"qualityNumericString":110000,"longNumericNull":20,"floatNumericNull":20,"doubleNumericNull":20,"placement":"preferred","placementish":["b","preferred"],"index":100}
{"ts":"2011-01-12T00:00:00.000Z","market":"spot","quality":"health","qualityLong":1300,"qualityFloat":13000,"qualityDouble":13000,"qualityNumericString":130000,"longNumericNull":40,"floatNumericNull":40,"doubleNumericNull":40,"placement":"preferred","placementish":["h","preferred"],"index":100}
{"ts":"2011-01-12T00:00:00.000Z","market":"spot","quality":"news","qualityLong":1500,"qualityFloat":15000,"qualityDouble":15000,"qualityNumericString":150000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["n","preferred"],"index":100}
{"ts":"2011-01-12T00:00:00.000Z","market":"spot","quality":"technology","qualityLong":1700,"qualityFloat":17000,"qualityDouble":17000,"qualityNumericString":170000,"longNumericNull":80,"floatNumericNull":80,"doubleNumericNull":80,"placement":"preferred","placementish":["t","preferred"],"index":100}
{"ts":"2011-01-12T00:00:00.000Z","market":"total_market","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1000}
{"ts":"2011-01-12T00:00:00.000Z","market":"upfront","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":800,"partial_null_column":"value"}
{"ts":"2011-01-13T00:00:00.000Z","market":"spot","quality":"automotive","qualityLong":1000,"qualityFloat":10000,"qualityDouble":10000,"qualityNumericString":100000,"longNumericNull":10,"floatNumericNull":10,"doubleNumericNull":10,"placement":"preferred","placementish":["a","preferred"],"index":94.874713}
{"ts":"2011-01-13T00:00:00.000Z","market":"spot","quality":"entertainment","qualityLong":1200,"qualityFloat":12000,"qualityDouble":12000,"qualityNumericString":120000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["e","preferred"],"index":110.087299}
{"ts":"2011-01-13T00:00:00.000Z","market":"spot","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":104.465767}
{"ts":"2011-01-13T00:00:00.000Z","market":"spot","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":108.863011}
{"ts":"2011-01-13T00:00:00.000Z","market":"spot","quality":"travel","qualityLong":1800,"qualityFloat":18000,"qualityDouble":18000,"qualityNumericString":180000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["t","preferred"],"index":106.236928}
{"ts":"2011-01-13T00:00:00.000Z","market":"total_market","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":1689.012875}
{"ts":"2011-01-13T00:00:00.000Z","market":"upfront","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":1564.617729,"partial_null_column":"value"}
{"ts":"2011-01-14T00:00:00.000Z","market":"spot","quality":"business","qualityLong":1100,"qualityFloat":11000,"qualityDouble":11000,"qualityNumericString":110000,"longNumericNull":20,"floatNumericNull":20,"doubleNumericNull":20,"placement":"preferred","placementish":["b","preferred"],"index":102.670409}
{"ts":"2011-01-14T00:00:00.000Z","market":"spot","quality":"health","qualityLong":1300,"qualityFloat":13000,"qualityDouble":13000,"qualityNumericString":130000,"longNumericNull":40,"floatNumericNull":40,"doubleNumericNull":40,"placement":"preferred","placementish":["h","preferred"],"index":94.000432}
{"ts":"2011-01-14T00:00:00.000Z","market":"spot","quality":"news","qualityLong":1500,"qualityFloat":15000,"qualityDouble":15000,"qualityNumericString":150000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["n","preferred"],"index":101.38076}
{"ts":"2011-01-14T00:00:00.000Z","market":"spot","quality":"technology","qualityLong":1700,"qualityFloat":17000,"qualityDouble":17000,"qualityNumericString":170000,"longNumericNull":80,"floatNumericNull":80,"doubleNumericNull":80,"placement":"preferred","placementish":["t","preferred"],"index":114.974216}
{"ts":"2011-01-14T00:00:00.000Z","market":"total_market","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1049.141912}
{"ts":"2011-01-14T00:00:00.000Z","market":"upfront","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1006.402111,"partial_null_column":"value"}
{"ts":"2011-01-15T00:00:00.000Z","market":"spot","quality":"automotive","qualityLong":1000,"qualityFloat":10000,"qualityDouble":10000,"qualityNumericString":100000,"longNumericNull":10,"floatNumericNull":10,"doubleNumericNull":10,"placement":"preferred","placementish":["a","preferred"],"index":82.840417}
{"ts":"2011-01-15T00:00:00.000Z","market":"spot","quality":"entertainment","qualityLong":1200,"qualityFloat":12000,"qualityDouble":12000,"qualityNumericString":120000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["e","preferred"],"index":100.551072}
{"ts":"2011-01-15T00:00:00.000Z","market":"spot","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":100.582654}
{"ts":"2011-01-15T00:00:00.000Z","market":"spot","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":102.366798}
{"ts":"2011-01-15T00:00:00.000Z","market":"spot","quality":"travel","qualityLong":1800,"qualityFloat":18000,"qualityDouble":18000,"qualityNumericString":180000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["t","preferred"],"index":120.48142}
{"ts":"2011-01-15T00:00:00.000Z","market":"total_market","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":1545.708865}
{"ts":"2011-01-15T00:00:00.000Z","market":"upfront","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":1458.402661,"partial_null_column":"value"}
{"ts":"2011-01-16T00:00:00.000Z","market":"spot","quality":"business","qualityLong":1100,"qualityFloat":11000,"qualityDouble":11000,"qualityNumericString":110000,"longNumericNull":20,"floatNumericNull":20,"doubleNumericNull":20,"placement":"preferred","placementish":["b","preferred"],"index":100.591602}
{"ts":"2011-01-16T00:00:00.000Z","market":"spot","quality":"health","qualityLong":1300,"qualityFloat":13000,"qualityDouble":13000,"qualityNumericString":130000,"longNumericNull":40,"floatNumericNull":40,"doubleNumericNull":40,"placement":"preferred","placementish":["h","preferred"],"index":93.085943}
{"ts":"2011-01-16T00:00:00.000Z","market":"spot","quality":"news","qualityLong":1500,"qualityFloat":15000,"qualityDouble":15000,"qualityNumericString":150000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["n","preferred"],"index":100.192013}
{"ts":"2011-01-16T00:00:00.000Z","market":"spot","quality":"technology","qualityLong":1700,"qualityFloat":17000,"qualityDouble":17000,"qualityNumericString":170000,"longNumericNull":80,"floatNumericNull":80,"doubleNumericNull":80,"placement":"preferred","placementish":["t","preferred"],"index":87.280816}
{"ts":"2011-01-16T00:00:00.000Z","market":"total_market","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1016.965229}
{"ts":"2011-01-16T00:00:00.000Z","market":"upfront","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":852.437477,"partial_null_column":"value"}
{"ts":"2011-01-17T00:00:00.000Z","market":"spot","quality":"automotive","qualityLong":1000,"qualityFloat":10000,"qualityDouble":10000,"qualityNumericString":100000,"longNumericNull":10,"floatNumericNull":10,"doubleNumericNull":10,"placement":"preferred","placementish":["a","preferred"],"index":105.442374}
{"ts":"2011-01-17T00:00:00.000Z","market":"spot","quality":"entertainment","qualityLong":1200,"qualityFloat":12000,"qualityDouble":12000,"qualityNumericString":120000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["e","preferred"],"index":99.189052}
{"ts":"2011-01-17T00:00:00.000Z","market":"spot","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":103.692852}
{"ts":"2011-01-17T00:00:00.000Z","market":"spot","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":106.696362}
{"ts":"2011-01-17T00:00:00.000Z","market":"spot","quality":"travel","qualityLong":1800,"qualityFloat":18000,"qualityDouble":18000,"qualityNumericString":180000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["t","preferred"],"index":134.415281}
{"ts":"2011-01-17T00:00:00.000Z","market":"total_market","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":953.995422}
{"ts":"2011-01-17T00:00:00.000Z","market":"upfront","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":712.774595,"partial_null_column":"value"}
{"ts":"2011-01-18T00:00:00.000Z","market":"spot","quality":"business","qualityLong":1100,"qualityFloat":11000,"qualityDouble":11000,"qualityNumericString":110000,"longNumericNull":20,"floatNumericNull":20,"doubleNumericNull":20,"placement":"preferred","placementish":["b","preferred"],"index":107.244699}
{"ts":"2011-01-18T00:00:00.000Z","market":"spot","quality":"health","qualityLong":1300,"qualityFloat":13000,"qualityDouble":13000,"qualityNumericString":130000,"longNumericNull":40,"floatNumericNull":40,"doubleNumericNull":40,"placement":"preferred","placementish":["h","preferred"],"index":103.018934}
{"ts":"2011-01-18T00:00:00.000Z","market":"spot","quality":"news","qualityLong":1500,"qualityFloat":15000,"qualityDouble":15000,"qualityNumericString":150000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["n","preferred"],"index":104.724154}
{"ts":"2011-01-18T00:00:00.000Z","market":"spot","quality":"technology","qualityLong":1700,"qualityFloat":17000,"qualityDouble":17000,"qualityNumericString":170000,"longNumericNull":80,"floatNumericNull":80,"doubleNumericNull":80,"placement":"preferred","placementish":["t","preferred"],"index":88.764512}
{"ts":"2011-01-18T00:00:00.000Z","market":"total_market","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1022.78333}
{"ts":"2011-01-18T00:00:00.000Z","market":"upfront","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":846.267516,"partial_null_column":"value"}
{"ts":"2011-01-19T00:00:00.000Z","market":"spot","quality":"automotive","qualityLong":1000,"qualityFloat":10000,"qualityDouble":10000,"qualityNumericString":100000,"longNumericNull":10,"floatNumericNull":10,"doubleNumericNull":10,"placement":"preferred","placementish":["a","preferred"],"index":85.681683}
{"ts":"2011-01-19T00:00:00.000Z","market":"spot","quality":"entertainment","qualityLong":1200,"qualityFloat":12000,"qualityDouble":12000,"qualityNumericString":120000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["e","preferred"],"index":92.314034}
{"ts":"2011-01-19T00:00:00.000Z","market":"spot","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":105.087466}
{"ts":"2011-01-19T00:00:00.000Z","market":"spot","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":104.568464}
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{"ts":"2011-03-22T00:00:00.000Z","market":"upfront","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1110.788895,"partial_null_column":"value"}
{"ts":"2011-03-23T00:00:00.000Z","market":"spot","quality":"automotive","qualityLong":1000,"qualityFloat":10000,"qualityDouble":10000,"qualityNumericString":100000,"longNumericNull":10,"floatNumericNull":10,"doubleNumericNull":10,"placement":"preferred","placementish":["a","preferred"],"index":154.019632}
{"ts":"2011-03-23T00:00:00.000Z","market":"spot","quality":"entertainment","qualityLong":1200,"qualityFloat":12000,"qualityDouble":12000,"qualityNumericString":120000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["e","preferred"],"index":158.592715}
{"ts":"2011-03-23T00:00:00.000Z","market":"spot","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":126.672392}
{"ts":"2011-03-23T00:00:00.000Z","market":"spot","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":131.786598}
{"ts":"2011-03-23T00:00:00.000Z","market":"spot","quality":"travel","qualityLong":1800,"qualityFloat":18000,"qualityDouble":18000,"qualityNumericString":180000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["t","preferred"],"index":123.75424}
{"ts":"2011-03-23T00:00:00.000Z","market":"total_market","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":1156.601892}
{"ts":"2011-03-23T00:00:00.000Z","market":"upfront","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":884.801502,"partial_null_column":"value"}
{"ts":"2011-03-24T00:00:00.000Z","market":"spot","quality":"business","qualityLong":1100,"qualityFloat":11000,"qualityDouble":11000,"qualityNumericString":110000,"longNumericNull":20,"floatNumericNull":20,"doubleNumericNull":20,"placement":"preferred","placementish":["b","preferred"],"index":123.895027}
{"ts":"2011-03-24T00:00:00.000Z","market":"spot","quality":"health","qualityLong":1300,"qualityFloat":13000,"qualityDouble":13000,"qualityNumericString":130000,"longNumericNull":40,"floatNumericNull":40,"doubleNumericNull":40,"placement":"preferred","placementish":["h","preferred"],"index":119.777998}
{"ts":"2011-03-24T00:00:00.000Z","market":"spot","quality":"news","qualityLong":1500,"qualityFloat":15000,"qualityDouble":15000,"qualityNumericString":150000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["n","preferred"],"index":125.044877}
{"ts":"2011-03-24T00:00:00.000Z","market":"spot","quality":"technology","qualityLong":1700,"qualityFloat":17000,"qualityDouble":17000,"qualityNumericString":170000,"longNumericNull":80,"floatNumericNull":80,"doubleNumericNull":80,"placement":"preferred","placementish":["t","preferred"],"index":88.521042}
{"ts":"2011-03-24T00:00:00.000Z","market":"total_market","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1429.580257}
{"ts":"2011-03-24T00:00:00.000Z","market":"upfront","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1684.268799,"partial_null_column":"value"}
{"ts":"2011-03-25T00:00:00.000Z","market":"spot","quality":"automotive","qualityLong":1000,"qualityFloat":10000,"qualityDouble":10000,"qualityNumericString":100000,"longNumericNull":10,"floatNumericNull":10,"doubleNumericNull":10,"placement":"preferred","placementish":["a","preferred"],"index":140.577121}
{"ts":"2011-03-25T00:00:00.000Z","market":"spot","quality":"entertainment","qualityLong":1200,"qualityFloat":12000,"qualityDouble":12000,"qualityNumericString":120000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["e","preferred"],"index":157.432108}
{"ts":"2011-03-25T00:00:00.000Z","market":"spot","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":114.70696}
{"ts":"2011-03-25T00:00:00.000Z","market":"spot","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":128.943094}
{"ts":"2011-03-25T00:00:00.000Z","market":"spot","quality":"travel","qualityLong":1800,"qualityFloat":18000,"qualityDouble":18000,"qualityNumericString":180000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["t","preferred"],"index":136.136598}
{"ts":"2011-03-25T00:00:00.000Z","market":"total_market","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":1256.499779}
{"ts":"2011-03-25T00:00:00.000Z","market":"upfront","quality":"premium","qualityLong":1600,"qualityFloat":16000,"qualityDouble":16000,"qualityNumericString":160000,"longNumericNull":70,"floatNumericNull":70,"doubleNumericNull":70,"placement":"preferred","placementish":["p","preferred"],"index":996.564152,"partial_null_column":"value"}
{"ts":"2011-03-26T00:00:00.000Z","market":"spot","quality":"business","qualityLong":1100,"qualityFloat":11000,"qualityDouble":11000,"qualityNumericString":110000,"longNumericNull":20,"floatNumericNull":20,"doubleNumericNull":20,"placement":"preferred","placementish":["b","preferred"],"index":130.824022}
{"ts":"2011-03-26T00:00:00.000Z","market":"spot","quality":"health","qualityLong":1300,"qualityFloat":13000,"qualityDouble":13000,"qualityNumericString":130000,"longNumericNull":40,"floatNumericNull":40,"doubleNumericNull":40,"placement":"preferred","placementish":["h","preferred"],"index":118.463523}
{"ts":"2011-03-26T00:00:00.000Z","market":"spot","quality":"news","qualityLong":1500,"qualityFloat":15000,"qualityDouble":15000,"qualityNumericString":150000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["n","preferred"],"index":142.972964}
{"ts":"2011-03-26T00:00:00.000Z","market":"spot","quality":"technology","qualityLong":1700,"qualityFloat":17000,"qualityDouble":17000,"qualityNumericString":170000,"longNumericNull":80,"floatNumericNull":80,"doubleNumericNull":80,"placement":"preferred","placementish":["t","preferred"],"index":101.686196}
{"ts":"2011-03-26T00:00:00.000Z","market":"total_market","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1217.877395}
{"ts":"2011-03-26T00:00:00.000Z","market":"upfront","quality":"mezzanine","qualityLong":1400,"qualityFloat":14000,"qualityDouble":14000,"qualityNumericString":140000,"longNumericNull":50,"floatNumericNull":50,"doubleNumericNull":50,"placement":"preferred","placementish":["m","preferred"],"index":1061.678577,"partial_null_column":"value"}
{"ts":"2011-03-27T00:00:00.000Z","market":"spot","quality":"automotive","qualityLong":1000,"qualityFloat":10000,"qualityDouble":10000,"qualityNumericString":100000,"longNumericNull":10,"floatNumericNull":10,"doubleNumericNull":10,"placement":"preferred","placementish":["a","preferred"],"index":144.056669}
{"ts":"2011-03-27T00:00:00.000Z","market":"spot","quality":"entertainment","qualityLong":1200,"qualityFloat":12000,"qualityDouble":12000,"qualityNumericString":120000,"longNumericNull":null,"floatNumericNull":null,"doubleNumericNull":null,"placement":"preferred","placementish":["e","preferred"],"index":163.161361}

3
quidem-ut/src/main/java/org/apache/druid/quidem/KttmNestedComponentSupplier.java
View File

@ -30,7 +30,6 @@ import org.apache.druid.data.input.impl.TimestampSpec;
import org.apache.druid.java.util.common.FileUtils;
import org.apache.druid.java.util.common.Intervals;
import org.apache.druid.java.util.common.StringUtils;
import org.apache.druid.query.NestedDataTestUtils;
import org.apache.druid.query.QueryRunnerFactoryConglomerate;
import org.apache.druid.segment.AutoTypeColumnSchema;
import org.apache.druid.segment.IndexBuilder;
@ -138,7 +137,7 @@ public class KttmNestedComponentSupplier extends StandardComponentSupplier
.inputSource(
inputSource
)
.inputFormat(NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT)
.inputFormat(TestIndex.DEFAULT_JSON_INPUT_FORMAT)
.inputTmpDir(new File(tmpDir, "tmpKttm"))
.buildIncrementalIndex();
}

10
server/src/test/java/org/apache/druid/server/SegmentManagerBroadcastJoinIndexedTableTest.java
View File

@ -170,7 +170,7 @@ public class SegmentManagerBroadcastJoinIndexedTableTest extends InitializedNull
Assert.assertFalse(joinableFactory.isDirectlyJoinable(dataSource));
final String version = DateTimes.nowUtc().toString();
IncrementalIndex data = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv");
IncrementalIndex data = TestIndex.makeSampleNumericIncrementalIndex();
final String interval = "2011-01-12T00:00:00.000Z/2011-05-01T00:00:00.000Z";
DataSegment segment = createSegment(data, interval, version);
segmentManager.loadSegment(segment);
@ -218,8 +218,8 @@ public class SegmentManagerBroadcastJoinIndexedTableTest extends InitializedNull
final String version2 = DateTimes.nowUtc().plus(1000L).toString();
final String interval = "2011-01-12T00:00:00.000Z/2011-03-28T00:00:00.000Z";
final String interval2 = "2011-01-12T00:00:00.000Z/2011-05-01T00:00:00.000Z";
IncrementalIndex data = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv.top");
IncrementalIndex data2 = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv.bottom");
IncrementalIndex data = TestIndex.makeSampleNumericTopIncrementalIndex();
IncrementalIndex data2 = TestIndex.makeSampleNumericBottomIncrementalIndex();
DataSegment segment1 = createSegment(data, interval, version);
DataSegment segment2 = createSegment(data2, interval2, version2);
segmentManager.loadSegment(segment1);
@ -283,8 +283,8 @@ public class SegmentManagerBroadcastJoinIndexedTableTest extends InitializedNull
final String version2 = DateTimes.nowUtc().plus(1000L).toString();
final String interval = "2011-01-12T00:00:00.000Z/2011-05-01T00:00:00.000Z";
final String interval2 = "2011-01-12T00:00:00.000Z/2011-03-28T00:00:00.000Z";
IncrementalIndex data = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv.bottom");
IncrementalIndex data2 = TestIndex.makeRealtimeIndex("druid.sample.numeric.tsv.top");
IncrementalIndex data = TestIndex.makeSampleNumericBottomIncrementalIndex();
IncrementalIndex data2 = TestIndex.makeSampleNumericTopIncrementalIndex();
segmentManager.loadSegment(createSegment(data, interval, version));
Assert.assertTrue(joinableFactory.isDirectlyJoinable(dataSource));

3
services/src/test/java/org/apache/druid/cli/DumpSegmentTest.java
View File

@ -56,6 +56,7 @@ import org.apache.druid.segment.IndexSpec;
import org.apache.druid.segment.QueryableIndex;
import org.apache.druid.segment.Segment;
import org.apache.druid.segment.TestHelper;
import org.apache.druid.segment.TestIndex;
import org.apache.druid.segment.column.ColumnConfig;
import org.apache.druid.segment.column.ColumnHolder;
import org.apache.druid.segment.column.ColumnIndexSupplier;
@ -297,7 +298,7 @@ public class DumpSegmentTest extends InitializedNullHandlingTest
tempFolder,
closer,
"nested-test-data.json",
NestedDataTestUtils.DEFAULT_JSON_INPUT_FORMAT,
TestIndex.DEFAULT_JSON_INPUT_FORMAT,
new TimestampSpec("timestamp", null, null),
DimensionsSpec.builder().useSchemaDiscovery(true).build(),
null,