mirror of https://github.com/apache/druid.git
A low value of inSubQueryThreshold can cause queries with IN filter to plan as joins more commonly. However, some of these join queries may not get planned as IN filter on data nodes and causes significant perf regression.
This commit is contained in:
parent
9d4e8053a4
commit
45b30dc07d
|
@ -51,7 +51,7 @@ Configure Druid SQL query planning using the parameters in the table below.
|
|||
|`sqlPullUpLookup`|Whether to consider the [pull-up rewrite](lookups.md#pull-up) of the `LOOKUP` function during SQL planning.|true|
|
||||
|`enableJoinLeftTableScanDirect`|`false`|This flag applies to queries which have joins. For joins, where left child is a simple scan with a filter, by default, druid will run the scan as a query and the join the results to the right child on broker. Setting this flag to true overrides that behavior and druid will attempt to push the join to data servers instead. Please note that the flag could be applicable to queries even if there is no explicit join. since queries can internally translated into a join by the SQL planner.|
|
||||
|`maxNumericInFilters`|`-1`|Max limit for the amount of numeric values that can be compared for a string type dimension when the entire SQL WHERE clause of a query translates only to an [OR](../querying/filters.md#or) of [Bound filter](../querying/filters.md#bound-filter). By default, Druid does not restrict the amount of of numeric Bound Filters on String columns, although this situation may block other queries from running. Set this parameter to a smaller value to prevent Druid from running queries that have prohibitively long segment processing times. The optimal limit requires some trial and error; we recommend starting with 100. Users who submit a query that exceeds the limit of `maxNumericInFilters` should instead rewrite their queries to use strings in the `WHERE` clause instead of numbers. For example, `WHERE someString IN (‘123’, ‘456’)`. This value cannot exceed the set system configuration `druid.sql.planner.maxNumericInFilters`. This value is ignored if `druid.sql.planner.maxNumericInFilters` is not set explicitly.|
|
||||
|`inSubQueryThreshold`|`20`| Threshold for minimum number of values in an IN clause to convert the query to a JOIN operation on an inlined table rather than a predicate. A threshold of 0 forces usage of an inline table in all cases; a threshold of [Integer.MAX_VALUE] forces usage of OR in all cases. |
|
||||
|`inSubQueryThreshold`|`2147483647`| Threshold for minimum number of values in an IN clause to convert the query to a JOIN operation on an inlined table rather than a predicate. A threshold of 0 forces usage of an inline table in all cases; a threshold of [Integer.MAX_VALUE] forces usage of OR in all cases. |
|
||||
|
||||
## Setting the query context
|
||||
The query context parameters can be specified as a "context" object in the [JSON API](../api-reference/sql-api.md) or as a [JDBC connection properties object](../api-reference/sql-jdbc.md).
|
||||
|
|
|
@ -115,7 +115,7 @@ public class QueryContexts
|
|||
public static final boolean DEFAULT_USE_FILTER_CNF = false;
|
||||
public static final boolean DEFAULT_SECONDARY_PARTITION_PRUNING = true;
|
||||
public static final boolean DEFAULT_ENABLE_DEBUG = false;
|
||||
public static final int DEFAULT_IN_SUB_QUERY_THRESHOLD = 20;
|
||||
public static final int DEFAULT_IN_SUB_QUERY_THRESHOLD = Integer.MAX_VALUE;
|
||||
public static final boolean DEFAULT_ENABLE_TIME_BOUNDARY_PLANNING = false;
|
||||
|
||||
@SuppressWarnings("unused") // Used by Jackson serialization
|
||||
|
|
|
@ -19,6 +19,7 @@
|
|||
|
||||
package org.apache.druid.sql.calcite;
|
||||
|
||||
import com.google.common.base.Joiner;
|
||||
import com.google.common.collect.ImmutableList;
|
||||
import com.google.common.collect.ImmutableMap;
|
||||
import com.google.common.collect.ImmutableSet;
|
||||
|
@ -131,6 +132,7 @@ import org.junit.Ignore;
|
|||
import org.junit.Test;
|
||||
import org.junit.internal.matchers.ThrowableMessageMatcher;
|
||||
|
||||
import java.util.ArrayList;
|
||||
import java.util.Arrays;
|
||||
import java.util.Collections;
|
||||
import java.util.HashMap;
|
||||
|
@ -5664,6 +5666,44 @@ public class CalciteQueryTest extends BaseCalciteQueryTest
|
|||
);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testInFilterWith23Elements()
|
||||
{
|
||||
// Regression test for https://github.com/apache/druid/issues/4203.
|
||||
final List<String> elements = new ArrayList<>();
|
||||
elements.add("abc");
|
||||
elements.add("def");
|
||||
elements.add("ghi");
|
||||
for (int i = 0; i < 20; i++) {
|
||||
elements.add("dummy" + i);
|
||||
}
|
||||
|
||||
final String elementsString = Joiner.on(",").join(elements.stream().map(s -> "'" + s + "'").iterator());
|
||||
|
||||
testQuery(
|
||||
"SELECT dim1, COUNT(*) FROM druid.foo WHERE dim1 IN (" + elementsString + ") GROUP BY dim1",
|
||||
ImmutableList.of(
|
||||
GroupByQuery.builder()
|
||||
.setDataSource(CalciteTests.DATASOURCE1)
|
||||
.setInterval(querySegmentSpec(Filtration.eternity()))
|
||||
.setGranularity(Granularities.ALL)
|
||||
.setDimensions(dimensions(new DefaultDimensionSpec("dim1", "d0")))
|
||||
.setDimFilter(new InDimFilter("dim1", elements, null))
|
||||
.setAggregatorSpecs(
|
||||
aggregators(
|
||||
new CountAggregatorFactory("a0")
|
||||
)
|
||||
)
|
||||
.setContext(QUERY_CONTEXT_DEFAULT)
|
||||
.build()
|
||||
),
|
||||
ImmutableList.of(
|
||||
new Object[]{"abc", 1L},
|
||||
new Object[]{"def", 1L}
|
||||
)
|
||||
);
|
||||
}
|
||||
|
||||
@Test
|
||||
public void testCountStarWithDegenerateFilter()
|
||||
{
|
||||
|
|
Loading…
Reference in New Issue