Merge remote-tracking branch 'apache/master' into quidem-record

This commit is contained in:
Zoltan Haindrich 2024-08-05 13:00:50 +00:00
commit fda0d63e44
16 changed files with 507 additions and 44 deletions

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@ -77,6 +77,8 @@ Most metric values reset each emission period, as specified in `druid.monitoring
|`metadatacache/schemaPoll/time`|Time taken for coordinator polls to fetch datasource schema.|||
|`serverview/sync/healthy`|Sync status of the Broker with a segment-loading server such as a Historical or Peon. Emitted only when [HTTP-based server view](../configuration/index.md#segment-management) is enabled. This metric can be used in conjunction with `serverview/sync/unstableTime` to debug slow startup of Brokers.|`server`, `tier`|1 for fully synced servers, 0 otherwise|
|`serverview/sync/unstableTime`|Time in milliseconds for which the Broker has been failing to sync with a segment-loading server. Emitted only when [HTTP-based server view](../configuration/index.md#segment-management) is enabled.|`server`, `tier`|Not emitted for synced servers.|
|`subquery/rows`|Number of rows materialized by the subquery's results. |`id`, `subqueryId`| Varies |
|`subquery/bytes`|Number of bytes materialized by the subquery's results. This metric is only emitted if the query uses [byte-based subquery guardrails](https://druid.apache.org/docs/latest/configuration/#guardrails-for-materialization-of-subqueries) |`id`, `subqueryId` | Varies |
|`subquery/rowLimit/count`|Number of subqueries whose results are materialized as rows (Java objects on heap).|This metric is only available if the `SubqueryCountStatsMonitor` module is included.| |
|`subquery/byteLimit/count`|Number of subqueries whose results are materialized as frames (Druid's internal byte representation of rows).|This metric is only available if the `SubqueryCountStatsMonitor` module is included.| |
|`subquery/fallback/count`|Number of subqueries which cannot be materialized as frames|This metric is only available if the `SubqueryCountStatsMonitor` module is included.| |
@ -297,6 +299,8 @@ If the JVM does not support CPU time measurement for the current thread, `ingest
|`worker/taskSlot/used/count`|Number of busy task slots on the reporting worker per emission period. This metric is only available if the `WorkerTaskCountStatsMonitor` module is included.| `category`, `workerVersion`|Varies|
|`worker/task/assigned/count`|Number of tasks assigned to an indexer per emission period. This metric is only available if the `WorkerTaskCountStatsMonitor` module is included.|`dataSource`|Varies|
|`worker/task/completed/count`|Number of tasks completed by an indexer per emission period. This metric is only available if the `WorkerTaskCountStatsMonitor` module is included.|`dataSource`|Varies|
|`worker/task/failed/count`|Number of tasks that failed on an indexer during the emission period. This metric is only available if the `WorkerTaskCountStatsMonitor` module is included.|`dataSource`|Varies|
|`worker/task/success/count`|Number of tasks that succeeded on an indexer during the emission period. This metric is only available if the `WorkerTaskCountStatsMonitor` module is included.|`dataSource`|Varies|
|`worker/task/running/count`|Number of tasks running on an indexer per emission period. This metric is only available if the `WorkerTaskCountStatsMonitor` module is included.|`dataSource`|Varies|
## Shuffle metrics (Native parallel task)

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@ -74,8 +74,8 @@
"worker/task/assigned/count" : { "dimensions" : ["dataSource"], "type" : "count" },
"worker/task/running/count" : { "dimensions" : ["dataSource"], "type" : "count" },
"worker/task/completed/count" : { "dimensions" : ["dataSource"], "type" : "count" },
"worker/task/failed/count" : { "dimensions" : ["category", "workerVersion"], "type" : "count" },
"worker/task/success/count" : { "dimensions" : ["category", "workerVersion"], "type" : "count" },
"worker/task/failed/count" : { "dimensions" : ["category", "workerVersion", "dataSource"], "type" : "count" },
"worker/task/success/count" : { "dimensions" : ["category", "workerVersion", "dataSource"], "type" : "count" },
"worker/taskSlot/idle/count" : { "dimensions" : ["category", "workerVersion"], "type" : "gauge" },
"worker/taskSlot/total/count" : { "dimensions" : ["category", "workerVersion"], "type" : "gauge" },
"worker/taskSlot/used/count" : { "dimensions" : ["category", "workerVersion"], "type" : "gauge" },

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@ -113,7 +113,6 @@ import java.util.List;
import java.util.Map;
import java.util.Objects;
import java.util.Optional;
import java.util.function.Supplier;
import java.util.stream.Collectors;
@ -588,19 +587,19 @@ public class SqlStatementResource
MSQControllerTask msqControllerTask = getMSQControllerTaskAndCheckPermission(queryId, authenticationResult, forAction);
SqlStatementState sqlStatementState = SqlStatementResourceHelper.getSqlStatementState(statusPlus);
Supplier<Optional<MSQTaskReportPayload>> msqTaskReportPayloadSupplier = () -> {
MSQTaskReportPayload taskReportPayload = null;
if (detail || SqlStatementState.FAILED == sqlStatementState) {
try {
return Optional.ofNullable(SqlStatementResourceHelper.getPayload(
taskReportPayload = SqlStatementResourceHelper.getPayload(
contactOverlord(overlordClient.taskReportAsMap(queryId), queryId)
));
);
}
catch (DruidException e) {
if (e.getErrorCode().equals("notFound") || e.getMessage().contains("Unable to contact overlord")) {
return Optional.empty();
}
if (!e.getErrorCode().equals("notFound") && !e.getMessage().contains("Unable to contact overlord")) {
throw e;
}
};
}
}
if (SqlStatementState.FAILED == sqlStatementState) {
return SqlStatementResourceHelper.getExceptionPayload(
@ -608,7 +607,7 @@ public class SqlStatementResource
taskResponse,
statusPlus,
sqlStatementState,
msqTaskReportPayloadSupplier.get().orElse(null),
taskReportPayload,
jsonMapper,
detail
);
@ -627,9 +626,9 @@ public class SqlStatementResource
msqControllerTask.getQuerySpec().getDestination()
).orElse(null) : null,
null,
detail ? SqlStatementResourceHelper.getQueryStagesReport(msqTaskReportPayloadSupplier.get().orElse(null)) : null,
detail ? SqlStatementResourceHelper.getQueryCounters(msqTaskReportPayloadSupplier.get().orElse(null)) : null,
detail ? SqlStatementResourceHelper.getQueryWarningDetails(msqTaskReportPayloadSupplier.get().orElse(null)) : null
SqlStatementResourceHelper.getQueryStagesReport(taskReportPayload),
SqlStatementResourceHelper.getQueryCounters(taskReportPayload),
SqlStatementResourceHelper.getQueryWarningDetails(taskReportPayload)
));
}
}

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@ -22,11 +22,13 @@ package org.apache.druid.msq.exec;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableMap;
import com.google.common.collect.ImmutableSet;
import org.apache.druid.common.config.NullHandling;
import org.apache.druid.data.input.impl.JsonInputFormat;
import org.apache.druid.data.input.impl.LocalInputSource;
import org.apache.druid.data.input.impl.systemfield.SystemFields;
import org.apache.druid.guice.BuiltInTypesModule;
import org.apache.druid.java.util.common.Intervals;
import org.apache.druid.java.util.common.granularity.Granularities;
import org.apache.druid.msq.indexing.MSQSpec;
import org.apache.druid.msq.indexing.MSQTuningConfig;
import org.apache.druid.msq.indexing.destination.TaskReportMSQDestination;
@ -34,8 +36,20 @@ import org.apache.druid.msq.test.MSQTestBase;
import org.apache.druid.msq.util.MultiStageQueryContext;
import org.apache.druid.query.DataSource;
import org.apache.druid.query.NestedDataTestUtils;
import org.apache.druid.query.QueryDataSource;
import org.apache.druid.query.aggregation.CountAggregatorFactory;
import org.apache.druid.query.aggregation.FilteredAggregatorFactory;
import org.apache.druid.query.aggregation.LongSumAggregatorFactory;
import org.apache.druid.query.dimension.DefaultDimensionSpec;
import org.apache.druid.query.filter.DimFilter;
import org.apache.druid.query.filter.NotDimFilter;
import org.apache.druid.query.filter.NullFilter;
import org.apache.druid.query.filter.SelectorDimFilter;
import org.apache.druid.query.groupby.GroupByQuery;
import org.apache.druid.query.groupby.GroupByQueryConfig;
import org.apache.druid.query.groupby.orderby.DefaultLimitSpec;
import org.apache.druid.query.groupby.orderby.OrderByColumnSpec;
import org.apache.druid.query.ordering.StringComparators;
import org.apache.druid.query.scan.ScanQuery;
import org.apache.druid.segment.column.ColumnType;
import org.apache.druid.segment.column.RowSignature;
@ -44,8 +58,10 @@ import org.apache.druid.sql.calcite.external.ExternalDataSource;
import org.apache.druid.sql.calcite.filtration.Filtration;
import org.apache.druid.sql.calcite.planner.ColumnMapping;
import org.apache.druid.sql.calcite.planner.ColumnMappings;
import org.apache.druid.sql.calcite.planner.PlannerConfig;
import org.apache.druid.timeline.SegmentId;
import org.apache.druid.utils.CompressionUtils;
import org.junit.jupiter.api.Assumptions;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.MethodSource;
@ -70,6 +86,7 @@ public class MSQComplexGroupByTest extends MSQTestBase
private String dataFileNameJsonString;
private String dataFileSignatureJsonString;
private DataSource dataFileExternalDataSource;
private File dataFile;
public static Collection<Object[]> data()
{
@ -85,7 +102,7 @@ public class MSQComplexGroupByTest extends MSQTestBase
@BeforeEach
public void setup() throws IOException
{
File dataFile = newTempFile("dataFile");
dataFile = newTempFile("dataFile");
final InputStream resourceStream = this.getClass().getClassLoader()
.getResourceAsStream(NestedDataTestUtils.ALL_TYPES_TEST_DATA_FILE);
final InputStream decompressing = CompressionUtils.decompress(
@ -416,4 +433,185 @@ public class MSQComplexGroupByTest extends MSQTestBase
))
.verifyResults();
}
@MethodSource("data")
@ParameterizedTest(name = "{index}:with context {0}")
public void testExactCountDistinctOnNestedData(String contextName, Map<String, Object> context)
{
Assumptions.assumeTrue(NullHandling.sqlCompatible());
RowSignature rowSignature = RowSignature.builder()
.add("distinct_obj", ColumnType.LONG)
.build();
Map<String, Object> modifiedContext = ImmutableMap.<String, Object>builder()
.putAll(context)
.put(PlannerConfig.CTX_KEY_USE_APPROXIMATE_COUNT_DISTINCT, false)
.build();
DimFilter innerFilter = NullHandling.replaceWithDefault()
? new SelectorDimFilter("d0", null, null)
: new NullFilter("d0", null);
testSelectQuery().setSql("SELECT\n"
+ " COUNT(DISTINCT obj) AS distinct_obj\n"
+ "FROM TABLE(\n"
+ " EXTERN(\n"
+ " '{ \"files\": [" + dataFileNameJsonString + "],\"type\":\"local\"}',\n"
+ " '{\"type\": \"json\"}',\n"
+ " '[{\"name\": \"timestamp\", \"type\": \"STRING\"}, {\"name\": \"obj\", \"type\": \"COMPLEX<json>\"}]'\n"
+ " )\n"
+ " )\n"
+ " ORDER BY 1")
.setQueryContext(ImmutableMap.of(PlannerConfig.CTX_KEY_USE_APPROXIMATE_COUNT_DISTINCT, false))
.setExpectedMSQSpec(
MSQSpec
.builder()
.query(
GroupByQuery
.builder()
.setDataSource(
new QueryDataSource(
GroupByQuery
.builder()
.setDataSource(dataFileExternalDataSource)
.setQuerySegmentSpec(querySegmentSpec(Intervals.ETERNITY))
.setDimensions(
new DefaultDimensionSpec("obj", "d0", ColumnType.NESTED_DATA)
)
.setGranularity(Granularities.ALL)
.setContext(modifiedContext)
.build()
)
)
.setAggregatorSpecs(
new FilteredAggregatorFactory(
new CountAggregatorFactory("a0"),
new NotDimFilter(innerFilter),
"a0"
)
)
.setQuerySegmentSpec(querySegmentSpec(Intervals.ETERNITY))
.setGranularity(Granularities.ALL)
.setLimitSpec(new DefaultLimitSpec(
ImmutableList.of(
new OrderByColumnSpec(
"a0",
OrderByColumnSpec.Direction.ASCENDING,
StringComparators.NUMERIC
)
),
Integer.MAX_VALUE
))
.setContext(modifiedContext)
.build()
)
.columnMappings(new ColumnMappings(ImmutableList.of(
new ColumnMapping("a0", "distinct_obj")
)))
.tuningConfig(MSQTuningConfig.defaultConfig())
.destination(TaskReportMSQDestination.INSTANCE)
.build()
)
.setExpectedRowSignature(rowSignature)
.setQueryContext(modifiedContext)
.setExpectedResultRows(ImmutableList.of(
new Object[]{7L}
))
.verifyResults();
}
@MethodSource("data")
@ParameterizedTest(name = "{index}:with context {0}")
public void testExactCountDistinctOnNestedData2(String contextName, Map<String, Object> context)
{
Assumptions.assumeTrue(NullHandling.sqlCompatible());
RowSignature dataFileSignature = RowSignature.builder()
.add("timestamp", ColumnType.STRING)
.add("cObj", ColumnType.NESTED_DATA)
.build();
DataSource dataFileExternalDataSource2 = new ExternalDataSource(
new LocalInputSource(null, null, ImmutableList.of(dataFile), SystemFields.none()),
new JsonInputFormat(null, null, null, null, null),
dataFileSignature
);
RowSignature rowSignature = RowSignature.builder()
.add("distinct_obj", ColumnType.LONG)
.build();
Map<String, Object> modifiedContext = ImmutableMap.<String, Object>builder()
.putAll(context)
.put(PlannerConfig.CTX_KEY_USE_APPROXIMATE_COUNT_DISTINCT, false)
.build();
DimFilter innerFilter = NullHandling.replaceWithDefault()
? new SelectorDimFilter("d0", null, null)
: new NullFilter("d0", null);
testSelectQuery().setSql("SELECT\n"
+ " COUNT(DISTINCT cObj) AS distinct_obj\n"
+ "FROM TABLE(\n"
+ " EXTERN(\n"
+ " '{ \"files\": [" + dataFileNameJsonString + "],\"type\":\"local\"}',\n"
+ " '{\"type\": \"json\"}',\n"
+ " '[{\"name\": \"timestamp\", \"type\": \"STRING\"}, {\"name\": \"cObj\", \"type\": \"COMPLEX<json>\"}]'\n"
+ " )\n"
+ " )\n"
+ " ORDER BY 1")
.setQueryContext(ImmutableMap.of(PlannerConfig.CTX_KEY_USE_APPROXIMATE_COUNT_DISTINCT, false))
.setExpectedMSQSpec(
MSQSpec
.builder()
.query(
GroupByQuery
.builder()
.setDataSource(
new QueryDataSource(
GroupByQuery
.builder()
.setDataSource(dataFileExternalDataSource2)
.setQuerySegmentSpec(querySegmentSpec(Intervals.ETERNITY))
.setDimensions(
new DefaultDimensionSpec("cObj", "d0", ColumnType.NESTED_DATA)
)
.setGranularity(Granularities.ALL)
.setContext(modifiedContext)
.build()
)
)
.setAggregatorSpecs(
new FilteredAggregatorFactory(
new CountAggregatorFactory("a0"),
new NotDimFilter(innerFilter),
"a0"
)
)
.setQuerySegmentSpec(querySegmentSpec(Intervals.ETERNITY))
.setGranularity(Granularities.ALL)
.setLimitSpec(new DefaultLimitSpec(
ImmutableList.of(
new OrderByColumnSpec(
"a0",
OrderByColumnSpec.Direction.ASCENDING,
StringComparators.NUMERIC
)
),
Integer.MAX_VALUE
))
.setContext(modifiedContext)
.build()
)
.columnMappings(new ColumnMappings(ImmutableList.of(
new ColumnMapping("a0", "distinct_obj")
)))
.tuningConfig(MSQTuningConfig.defaultConfig())
.destination(TaskReportMSQDestination.INSTANCE)
.build()
)
.setExpectedRowSignature(rowSignature)
.setQueryContext(modifiedContext)
.setExpectedResultRows(ImmutableList.of(
new Object[]{1L}
))
.verifyResults();
}
}

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@ -640,6 +640,22 @@ public class WorkerTaskManager implements IndexerTaskCountStatsProvider
return getNumTasksPerDatasource(this.getCompletedTasks().values(), TaskAnnouncement::getTaskDataSource);
}
@Override
public Map<String, Long> getWorkerFailedTasks()
{
return getNumTasksPerDatasource(completedTasks.entrySet().stream()
.filter(entry -> entry.getValue().getTaskStatus().isFailure())
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)).values(), TaskAnnouncement::getTaskDataSource);
}
@Override
public Map<String, Long> getWorkerSuccessfulTasks()
{
return getNumTasksPerDatasource(completedTasks.entrySet().stream()
.filter(entry -> entry.getValue().getTaskStatus().isSuccess())
.collect(Collectors.toMap(Map.Entry::getKey, Map.Entry::getValue)).values(), TaskAnnouncement::getTaskDataSource);
}
private static class TaskDetails
{
private final Task task;

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@ -455,6 +455,19 @@ public class WorkerTaskManagerTest
return new NoopTask(id, null, dataSource, 100, 0, ImmutableMap.of(Tasks.PRIORITY_KEY, 0));
}
private NoopTask createNoopFailingTask(String id, String dataSource)
{
return new NoopTask(id, null, dataSource, 100, 0, ImmutableMap.of(Tasks.PRIORITY_KEY, 0))
{
@Override
public TaskStatus runTask(TaskToolbox toolbox) throws Exception
{
Thread.sleep(getRunTime());
return TaskStatus.failure(getId(), "Failed to complete the task");
}
};
}
/**
* Start the {@link #workerTaskManager}, submit a {@link NoopTask}, wait for it to be complete. Common preamble
* for various tests of {@link WorkerTaskManager#doCompletedTasksCleanup()}.
@ -494,7 +507,7 @@ public class WorkerTaskManagerTest
Task task1 = createNoopTask("task1", "wikipedia");
Task task2 = createNoopTask("task2", "wikipedia");
Task task3 = createNoopTask("task3", "animals");
Task task3 = createNoopFailingTask("task3", "animals");
workerTaskManager.start();
// befor assigning tasks we should get no running tasks
@ -517,11 +530,19 @@ public class WorkerTaskManagerTest
Thread.sleep(10);
} while (!runningTasks.isEmpty());
// When running tasks are empty all task should be reported as completed
// When running tasks are empty all task should be reported as completed and
// one of the task for animals datasource should fail and other 2 tasks in
// the wikipedia datasource should succeed
Assert.assertEquals(workerTaskManager.getWorkerCompletedTasks(), ImmutableMap.of(
"wikipedia", 2L,
"animals", 1L
));
Assert.assertEquals(workerTaskManager.getWorkerFailedTasks(), ImmutableMap.of(
"animals", 1L
));
Assert.assertEquals(workerTaskManager.getWorkerSuccessfulTasks(), ImmutableMap.of(
"wikipedia", 2L
));
Assert.assertEquals(workerTaskManager.getWorkerAssignedTasks().size(), 0L);
}
}

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@ -150,12 +150,16 @@ public class ComplexFieldReader implements FieldReader
private final Memory memory;
private final ReadableFieldPointer fieldPointer;
private final ComplexMetricSerde serde;
@SuppressWarnings("rawtypes")
private final Class clazz;
private Selector(Memory memory, ReadableFieldPointer fieldPointer, ComplexMetricSerde serde)
{
this.memory = memory;
this.fieldPointer = fieldPointer;
this.serde = serde;
//noinspection deprecation
this.clazz = serde.getObjectStrategy().getClazz();
}
@Nullable
@ -169,7 +173,8 @@ public class ComplexFieldReader implements FieldReader
@Override
public Class<T> classOfObject()
{
return serde.getExtractor().extractedClass();
//noinspection unchecked
return clazz;
}
@Override

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@ -124,6 +124,7 @@ public class ComplexFrameColumnReader implements FrameColumnReader
{
private final Frame frame;
private final ComplexMetricSerde serde;
private final Class<?> clazz;
private final Memory memory;
private final long startOfOffsetSection;
private final long startOfDataSection;
@ -138,6 +139,8 @@ public class ComplexFrameColumnReader implements FrameColumnReader
{
this.frame = frame;
this.serde = serde;
//noinspection deprecation
this.clazz = serde.getObjectStrategy().getClazz();
this.memory = memory;
this.startOfOffsetSection = startOfOffsetSection;
this.startOfDataSection = startOfDataSection;
@ -158,7 +161,7 @@ public class ComplexFrameColumnReader implements FrameColumnReader
@Override
public Class<?> classOfObject()
{
return serde.getExtractor().extractedClass();
return clazz;
}
@Override

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@ -32,6 +32,7 @@ public class DruidMetrics
public static final String TYPE = "type";
public static final String INTERVAL = "interval";
public static final String ID = "id";
public static final String SUBQUERY_ID = "subQueryId";
public static final String TASK_ID = "taskId";
public static final String GROUP_ID = "groupId";
public static final String STATUS = "status";

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@ -37,7 +37,9 @@ import org.apache.druid.java.util.common.guava.Sequence;
import org.apache.druid.java.util.common.guava.Sequences;
import org.apache.druid.java.util.common.logger.Logger;
import org.apache.druid.java.util.emitter.service.ServiceEmitter;
import org.apache.druid.java.util.emitter.service.ServiceMetricEvent;
import org.apache.druid.query.DataSource;
import org.apache.druid.query.DruidMetrics;
import org.apache.druid.query.FluentQueryRunner;
import org.apache.druid.query.FrameBasedInlineDataSource;
import org.apache.druid.query.FrameSignaturePair;
@ -94,6 +96,8 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
private static final Logger log = new Logger(ClientQuerySegmentWalker.class);
private static final int FRAME_SIZE = 8_000_000;
public static final String ROWS_COUNT_METRIC = "subquery/rows";
public static final String BYTES_COUNT_METRIC = "subquery/bytes";
private final ServiceEmitter emitter;
private final QuerySegmentWalker clusterClient;
@ -447,7 +451,9 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
maxSubqueryRows,
maxSubqueryMemory,
useNestedForUnknownTypeInSubquery,
subqueryStatsProvider
subqueryStatsProvider,
!dryRun,
emitter
);
} else {
// Cannot inline subquery. Attempt to inline one level deeper, and then try again.
@ -553,8 +559,8 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
* It also plumbs parent query's id and sql id in case the subqueries don't have it set by default
*
* @param rootDataSource Datasource whose subqueries need to be populated
* @param parentQueryId Parent Query's ID, can be null if do not need to update this in the subqueries
* @param parentSqlQueryId Parent Query's SQL Query ID, can be null if do not need to update this in the subqueries
* @param parentQueryId Parent Query's ID, can be null if it does not need to update this in the subqueries
* @param parentSqlQueryId Parent Query's SQL Query ID, can be null if it does not need to update this in the subqueries
* @return DataSource populated with the subqueries
*/
private DataSource generateSubqueryIds(
@ -642,6 +648,9 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
}
/**
*/
/**
*
* Convert the results of a particular query into a materialized (List-based) InlineDataSource.
*
* @param query the query
@ -651,6 +660,13 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
* particular master query
* @param limit user-configured limit. If negative, will be treated as {@link Integer#MAX_VALUE}.
* If zero, this method will throw an error immediately.
* @param memoryLimit User configured byte limit.
* @param useNestedForUnknownTypeInSubquery Uses nested json for unknown types when materializing subquery results
* @param subqueryStatsProvider Statistics about the subquery materialization
* @param emitMetrics Flag to control if the metrics need to be emitted while materializing. The metrics are omitted
* when we are performing a dry run of the query to avoid double reporting the same metric incorrectly
* @param emitter Metrics emitter
* @return Inlined datasource represented by the provided results
* @throws ResourceLimitExceededException if the limit is exceeded
*/
private static <T, QueryType extends Query<T>> DataSource toInlineDataSource(
@ -662,8 +678,10 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
final AtomicBoolean cannotMaterializeToFrames,
final int limit,
long memoryLimit,
boolean useNestedForUnknownTypeInSubquery,
SubqueryCountStatsProvider subqueryStatsProvider
final boolean useNestedForUnknownTypeInSubquery,
final SubqueryCountStatsProvider subqueryStatsProvider,
final boolean emitMetrics,
final ServiceEmitter emitter
)
{
final int rowLimitToUse = limit < 0 ? Integer.MAX_VALUE : limit;
@ -683,7 +701,9 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
toolChest,
limitAccumulator,
limit,
subqueryStatsProvider
subqueryStatsProvider,
emitMetrics,
emitter
);
break;
case MEMORY_LIMIT:
@ -699,7 +719,9 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
memoryLimitAccumulator,
memoryLimit,
useNestedForUnknownTypeInSubquery,
subqueryStatsProvider
subqueryStatsProvider,
emitMetrics,
emitter
);
if (!maybeDataSource.isPresent()) {
cannotMaterializeToFrames.set(true);
@ -716,7 +738,9 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
toolChest,
limitAccumulator,
limit,
subqueryStatsProvider
subqueryStatsProvider,
emitMetrics,
emitter
);
} else {
subqueryStatsProvider.incrementSubqueriesWithByteLimit();
@ -739,9 +763,11 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
final QueryToolChest<T, QueryType> toolChest,
final AtomicInteger limitAccumulator,
final AtomicLong memoryLimitAccumulator,
long memoryLimit,
boolean useNestedForUnknownTypeInSubquery,
final SubqueryCountStatsProvider subqueryStatsProvider
final long memoryLimit,
final boolean useNestedForUnknownTypeInSubquery,
final SubqueryCountStatsProvider subqueryStatsProvider,
final boolean emitMetrics,
final ServiceEmitter emitter
)
{
Optional<Sequence<FrameSignaturePair>> framesOptional;
@ -764,6 +790,8 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
startedAccumulating = true;
final int initialSubqueryRows = limitAccumulator.get();
final long initialSubqueryBytes = memoryLimitAccumulator.get();
frames.forEach(
frame -> {
limitAccumulator.addAndGet(frame.getFrame().numRows());
@ -775,6 +803,21 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
frameSignaturePairs.add(frame);
}
);
if (emitMetrics) {
emitter.emit(
ServiceMetricEvent.builder()
.setDimension(DruidMetrics.ID, query.getId())
.setDimension(DruidMetrics.SUBQUERY_ID, query.getSubQueryId())
.setMetric(ROWS_COUNT_METRIC, limitAccumulator.get() - initialSubqueryRows)
);
emitter.emit(
ServiceMetricEvent.builder()
.setDimension(DruidMetrics.ID, query.getId())
.setDimension(DruidMetrics.SUBQUERY_ID, query.getSubQueryId())
.setMetric(BYTES_COUNT_METRIC, memoryLimitAccumulator.get() - initialSubqueryBytes)
);
}
return Optional.of(new FrameBasedInlineDataSource(frameSignaturePairs, toolChest.resultArraySignature(query)));
}
catch (UnsupportedColumnTypeException e) {
@ -811,7 +854,9 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
final QueryToolChest<T, QueryType> toolChest,
final AtomicInteger limitAccumulator,
final int limit,
final SubqueryCountStatsProvider subqueryStatsProvider
final SubqueryCountStatsProvider subqueryStatsProvider,
boolean emitMetrics,
final ServiceEmitter emitter
)
{
final int rowLimitToUse = limit < 0 ? Integer.MAX_VALUE : limit;
@ -819,6 +864,7 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
final ArrayList<Object[]> resultList = new ArrayList<>();
final int initialSubqueryRows = limitAccumulator.get();
toolChest.resultsAsArrays(query, results).accumulate(
resultList,
(acc, in) -> {
@ -830,6 +876,14 @@ public class ClientQuerySegmentWalker implements QuerySegmentWalker
return acc;
}
);
if (emitMetrics) {
emitter.emit(
ServiceMetricEvent.builder()
.setDimension(DruidMetrics.ID, query.getId())
.setDimension(DruidMetrics.SUBQUERY_ID, query.getSubQueryId())
.setMetric(ROWS_COUNT_METRIC, limitAccumulator.get() - initialSubqueryRows)
);
}
return InlineDataSource.fromIterable(resultList, signature);
}

View File

@ -41,4 +41,8 @@ public interface IndexerTaskCountStatsProvider
* Map from datasource name to the number of completed tasks by the Indexer.
*/
Map<String, Long> getWorkerCompletedTasks();
Map<String, Long> getWorkerFailedTasks();
Map<String, Long> getWorkerSuccessfulTasks();
}

View File

@ -72,6 +72,8 @@ public class WorkerTaskCountStatsMonitor extends AbstractMonitor
emit(emitter, "worker/task/running/count", indexerStatsProvider.getWorkerRunningTasks());
emit(emitter, "worker/task/assigned/count", indexerStatsProvider.getWorkerAssignedTasks());
emit(emitter, "worker/task/completed/count", indexerStatsProvider.getWorkerCompletedTasks());
emit(emitter, "worker/task/failed/count", indexerStatsProvider.getWorkerFailedTasks());
emit(emitter, "worker/task/success/count", indexerStatsProvider.getWorkerSuccessfulTasks());
}
return true;
}

View File

@ -32,8 +32,12 @@ import org.apache.druid.java.util.common.guava.Sequence;
import org.apache.druid.java.util.common.guava.Sequences;
import org.apache.druid.java.util.common.io.Closer;
import org.apache.druid.java.util.common.logger.Logger;
import org.apache.druid.java.util.emitter.core.Event;
import org.apache.druid.java.util.emitter.core.EventMap;
import org.apache.druid.java.util.metrics.StubServiceEmitter;
import org.apache.druid.math.expr.ExprMacroTable;
import org.apache.druid.query.DataSource;
import org.apache.druid.query.DruidMetrics;
import org.apache.druid.query.Druids;
import org.apache.druid.query.FrameBasedInlineDataSource;
import org.apache.druid.query.GlobalTableDataSource;
@ -214,6 +218,7 @@ public class ClientQuerySegmentWalkerTest
private Closer closer;
private QueryRunnerFactoryConglomerate conglomerate;
private final StubServiceEmitter emitter = new StubServiceEmitter();
// Queries that are issued; checked by "testQuery" against its "expectedQueries" parameter.
private final List<ExpectedQuery> issuedQueries = new ArrayList<>();
@ -228,6 +233,7 @@ public class ClientQuerySegmentWalkerTest
public void setUp()
{
closer = Closer.create();
emitter.flush();
conglomerate = QueryStackTests.createQueryRunnerFactoryConglomerate(closer);
scheduler = new ObservableQueryScheduler(
8,
@ -941,6 +947,113 @@ public class ClientQuerySegmentWalkerTest
testQuery(query, ImmutableList.of(), ImmutableList.of());
}
@Test
public void testMetricsWithMaxSubqueryRowsEnabled()
{
final GroupByQuery subquery =
GroupByQuery.builder()
.setDataSource(FOO)
.setGranularity(Granularities.ALL)
.setInterval(Collections.singletonList(INTERVAL))
.setDimensions(DefaultDimensionSpec.of("s"))
.build();
final TimeseriesQuery query =
(TimeseriesQuery) Druids.newTimeseriesQueryBuilder()
.dataSource(new QueryDataSource(subquery))
.granularity(Granularities.ALL)
.intervals(Intervals.ONLY_ETERNITY)
.aggregators(new CountAggregatorFactory("cnt"))
.build()
.withId(DUMMY_QUERY_ID);
testQuery(
query,
new ArrayList<>(ImmutableList.of(
ExpectedQuery.cluster(subquery.withId(DUMMY_QUERY_ID).withSubQueryId("1.1")),
ExpectedQuery.local(
query.withDataSource(
InlineDataSource.fromIterable(
ImmutableList.of(new Object[]{"x"}, new Object[]{"y"}, new Object[]{"z"}),
RowSignature.builder().add("s", ColumnType.STRING).build()
)
)
)
)),
ImmutableList.of(new Object[]{Intervals.ETERNITY.getStartMillis(), 3L})
);
List<Event> events = emitter.getEvents();
for (Event event : events) {
EventMap map = event.toMap();
if (ClientQuerySegmentWalker.ROWS_COUNT_METRIC.equals(map.get("metric"))) {
Assert.assertTrue(map.containsKey("host"));
Assert.assertTrue(map.containsKey("service"));
Assert.assertEquals(DUMMY_QUERY_ID, map.get(DruidMetrics.ID));
Assert.assertEquals("1.1", map.get(DruidMetrics.SUBQUERY_ID));
Assert.assertEquals(3, map.get("value"));
}
}
}
@Test
public void testMetricsWithMaxSubqueryBytesEnabled()
{
final GroupByQuery subquery =
GroupByQuery.builder()
.setDataSource(FOO)
.setGranularity(Granularities.ALL)
.setInterval(Collections.singletonList(INTERVAL))
.setDimensions(DefaultDimensionSpec.of("s"))
.build();
final TimeseriesQuery query =
(TimeseriesQuery) Druids.newTimeseriesQueryBuilder()
.dataSource(new QueryDataSource(subquery))
.granularity(Granularities.ALL)
.intervals(Intervals.ONLY_ETERNITY)
.aggregators(new CountAggregatorFactory("cnt"))
.context(ImmutableMap.of(QueryContexts.MAX_SUBQUERY_BYTES_KEY, "10000"))
.build()
.withId(DUMMY_QUERY_ID);
testQuery(
query,
new ArrayList<>(ImmutableList.of(
ExpectedQuery.cluster(subquery.withId(DUMMY_QUERY_ID).withSubQueryId("1.1")),
ExpectedQuery.local(
query.withDataSource(
InlineDataSource.fromIterable(
ImmutableList.of(new Object[]{"x"}, new Object[]{"y"}, new Object[]{"z"}),
RowSignature.builder().add("s", ColumnType.STRING).build()
)
)
)
)),
ImmutableList.of(new Object[]{Intervals.ETERNITY.getStartMillis(), 3L})
);
List<Event> events = emitter.getEvents();
for (Event event : events) {
EventMap map = event.toMap();
if (ClientQuerySegmentWalker.ROWS_COUNT_METRIC.equals(map.get("metric"))) {
Assert.assertTrue(map.containsKey("host"));
Assert.assertTrue(map.containsKey("service"));
Assert.assertEquals(DUMMY_QUERY_ID, map.get(DruidMetrics.ID));
Assert.assertEquals("1.1", map.get(DruidMetrics.SUBQUERY_ID));
Assert.assertEquals(3, map.get("value"));
} else if (ClientQuerySegmentWalker.BYTES_COUNT_METRIC.equals(map.get("metric"))) {
Assert.assertTrue(map.containsKey("host"));
Assert.assertTrue(map.containsKey("service"));
Assert.assertEquals(DUMMY_QUERY_ID, map.get(DruidMetrics.ID));
Assert.assertEquals("1.1", map.get(DruidMetrics.SUBQUERY_ID));
Assert.assertEquals(43L, map.get("value"));
}
}
}
@Test
public void testGroupByOnArraysDoubles()
{
@ -1545,13 +1658,15 @@ public class ClientQuerySegmentWalkerTest
conglomerate,
segmentWrangler,
joinableFactoryWrapper,
schedulerForTest
schedulerForTest,
emitter
),
ClusterOrLocal.LOCAL
),
conglomerate,
joinableFactory,
serverConfig
serverConfig,
emitter
);
}

View File

@ -87,7 +87,6 @@ import org.apache.druid.segment.join.JoinableFactoryWrapper;
import org.apache.druid.segment.join.LookupJoinableFactory;
import org.apache.druid.segment.join.MapJoinableFactory;
import org.apache.druid.server.initialization.ServerConfig;
import org.apache.druid.server.metrics.NoopServiceEmitter;
import org.apache.druid.server.metrics.SubqueryCountStatsProvider;
import org.apache.druid.server.scheduling.ManualQueryPrioritizationStrategy;
import org.apache.druid.server.scheduling.NoQueryLaningStrategy;
@ -117,7 +116,6 @@ public class QueryStackTests
public static final int DEFAULT_NUM_MERGE_BUFFERS = -1;
private static final ServiceEmitter EMITTER = new NoopServiceEmitter();
private static final int COMPUTE_BUFFER_SIZE = 10 * 1024 * 1024;
private QueryStackTests()
@ -131,11 +129,12 @@ public class QueryStackTests
final QuerySegmentWalker localWalker,
final QueryRunnerFactoryConglomerate conglomerate,
final JoinableFactory joinableFactory,
final ServerConfig serverConfig
final ServerConfig serverConfig,
final ServiceEmitter emitter
)
{
return new ClientQuerySegmentWalker(
EMITTER,
emitter,
clusterWalker,
localWalker,
new QueryToolChestWarehouse()
@ -172,7 +171,8 @@ public class QueryStackTests
final QueryRunnerFactoryConglomerate conglomerate,
final SegmentWrangler segmentWrangler,
final JoinableFactoryWrapper joinableFactoryWrapper,
final QueryScheduler scheduler
final QueryScheduler scheduler,
final ServiceEmitter emitter
)
{
return new LocalQuerySegmentWalker(
@ -180,7 +180,7 @@ public class QueryStackTests
segmentWrangler,
joinableFactoryWrapper,
scheduler,
EMITTER
emitter
);
}

View File

@ -49,6 +49,7 @@ import org.apache.druid.segment.incremental.IncrementalIndex;
import org.apache.druid.segment.join.JoinableFactory;
import org.apache.druid.segment.join.JoinableFactoryWrapper;
import org.apache.druid.server.initialization.ServerConfig;
import org.apache.druid.server.metrics.NoopServiceEmitter;
import org.apache.druid.timeline.DataSegment;
import org.apache.druid.timeline.VersionedIntervalTimeline;
import org.joda.time.Interval;
@ -133,11 +134,13 @@ public class SpecificSegmentsQuerySegmentWalker implements QuerySegmentWalker, C
conglomerate,
segmentWrangler,
joinableFactoryWrapper,
scheduler
scheduler,
new NoopServiceEmitter()
),
conglomerate,
joinableFactoryWrapper.getJoinableFactory(),
new ServerConfig()
new ServerConfig(),
new NoopServiceEmitter()
)
);
}

View File

@ -120,6 +120,24 @@ public class WorkerTaskCountStatsMonitorTest
"metrics", 9L
);
}
@Override
public Map<String, Long> getWorkerFailedTasks()
{
return ImmutableMap.of(
"movies", 4L,
"games", 6L
);
}
@Override
public Map<String, Long> getWorkerSuccessfulTasks()
{
return ImmutableMap.of(
"games", 23L,
"inventory", 89L
);
}
};
nullStatsProvider = new WorkerTaskCountStatsProvider()
@ -239,7 +257,7 @@ public class WorkerTaskCountStatsMonitorTest
new WorkerTaskCountStatsMonitor(injectorForIndexer, ImmutableSet.of(NodeRole.INDEXER));
final StubServiceEmitter emitter = new StubServiceEmitter("service", "host");
monitor.doMonitor(emitter);
Assert.assertEquals(6, emitter.getEvents().size());
Assert.assertEquals(10, emitter.getEvents().size());
emitter.verifyValue(
"worker/task/running/count",
ImmutableMap.of("dataSource", "wikipedia"),
@ -270,6 +288,26 @@ public class WorkerTaskCountStatsMonitorTest
ImmutableMap.of("dataSource", "metrics"),
9L
);
emitter.verifyValue(
"worker/task/failed/count",
ImmutableMap.of("dataSource", "movies"),
4L
);
emitter.verifyValue(
"worker/task/failed/count",
ImmutableMap.of("dataSource", "games"),
6L
);
emitter.verifyValue(
"worker/task/success/count",
ImmutableMap.of("dataSource", "games"),
23L
);
emitter.verifyValue(
"worker/task/success/count",
ImmutableMap.of("dataSource", "inventory"),
89L
);
}
@Test
public void testMonitorWithNulls()