[
https://issues.apache.org/jira/browse/DRILL-786?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16688807#comment-16688807
]
ASF GitHub Bot commented on DRILL-786:
--------------------------------------
asfgit closed pull request #1488: DRILL-786: Allow CROSS JOIN syntax
URL: https://github.com/apache/drill/pull/1488
This is a PR merged from a forked repository.
As GitHub hides the original diff on merge, it is displayed below for
the sake of provenance:
As this is a foreign pull request (from a fork), the diff is supplied
below (as it won't show otherwise due to GitHub magic):
diff --git
a/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/join/JoinUtils.java
b/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/join/JoinUtils.java
index 52871e2b82b..90e85581cd3 100644
---
a/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/join/JoinUtils.java
+++
b/exec/java-exec/src/main/java/org/apache/drill/exec/physical/impl/join/JoinUtils.java
@@ -51,11 +51,14 @@
import org.apache.drill.exec.planner.logical.DrillLimitRel;
import org.apache.drill.exec.record.VectorAccessible;
import org.apache.drill.exec.resolver.TypeCastRules;
+import org.apache.drill.exec.work.foreman.UnsupportedRelOperatorException;
import java.util.ArrayList;
import java.util.LinkedList;
import java.util.List;
+import static
org.apache.drill.exec.planner.physical.PlannerSettings.NLJOIN_FOR_SCALAR;
+
public class JoinUtils {
public enum JoinCategory {
@@ -65,6 +68,11 @@
}
private static final org.slf4j.Logger logger =
org.slf4j.LoggerFactory.getLogger(JoinUtils.class);
+ public static final String FAILED_TO_PLAN_CARTESIAN_JOIN = String.format(
+ "This query cannot be planned possibly due to either a cartesian join or
an inequality join. %n" +
+ "If a cartesian or inequality join is used intentionally, set the
option '%s' to false and try again.",
+ NLJOIN_FOR_SCALAR.getOptionName());
+
// Check the comparator is supported in join condition. Note that a similar
check is also
// done in JoinPrel; however we have to repeat it here because a physical
plan
// may be submitted directly to Drill.
@@ -127,6 +135,18 @@ public static boolean checkCartesianJoin(RelNode relNode,
List<Integer> leftKeys
return false;
}
+ /**
+ * Check if the given RelNode contains any Cartesian join.
+ * Return true if find one. Otherwise, return false.
+ *
+ * @param relNode {@link RelNode} instance to be inspected
+ * @return Return true if the given relNode contains Cartesian
join.
+ * Otherwise, return false
+ */
+ public static boolean checkCartesianJoin(RelNode relNode) {
+ return checkCartesianJoin(relNode, new LinkedList<>(), new LinkedList<>(),
new LinkedList<>());
+ }
+
/**
* Checks if implicit cast is allowed between the two input types of the
join condition. Currently we allow
* implicit casts in join condition only between numeric types and
varchar/varbinary types.
@@ -299,6 +319,16 @@ public static boolean hasScalarSubqueryInput(RelNode left,
RelNode right) {
return isScalarSubquery(left) || isScalarSubquery(right);
}
+ /**
+ * Creates new exception for queries that cannot be planned due
+ * to presence of cartesian or inequality join.
+ *
+ * @return new {@link UnsupportedRelOperatorException} instance
+ */
+ public static UnsupportedRelOperatorException
cartesianJoinPlanningException() {
+ return new UnsupportedRelOperatorException(FAILED_TO_PLAN_CARTESIAN_JOIN);
+ }
+
/**
* Collects expressions list from the input project.
* For the case when input rel node has single input, its input is taken.
diff --git
a/exec/java-exec/src/main/java/org/apache/drill/exec/planner/sql/handlers/DefaultSqlHandler.java
b/exec/java-exec/src/main/java/org/apache/drill/exec/planner/sql/handlers/DefaultSqlHandler.java
index c75311f4ff1..f7d11f8a9bc 100644
---
a/exec/java-exec/src/main/java/org/apache/drill/exec/planner/sql/handlers/DefaultSqlHandler.java
+++
b/exec/java-exec/src/main/java/org/apache/drill/exec/planner/sql/handlers/DefaultSqlHandler.java
@@ -18,7 +18,6 @@
package org.apache.drill.exec.planner.sql.handlers;
import java.io.IOException;
-import java.util.ArrayList;
import java.util.Collection;
import java.util.List;
import java.util.concurrent.TimeUnit;
@@ -106,7 +105,6 @@
import org.apache.drill.exec.util.Pointer;
import org.apache.drill.exec.work.foreman.ForemanSetupException;
import org.apache.drill.exec.work.foreman.SqlUnsupportedException;
-import org.apache.drill.exec.work.foreman.UnsupportedRelOperatorException;
import org.slf4j.Logger;
import org.apache.drill.shaded.guava.com.google.common.base.Preconditions;
@@ -294,8 +292,8 @@ protected DrillRel convertToRawDrel(final RelNode relNode)
throws SqlUnsupported
} catch (RelOptPlanner.CannotPlanException ex) {
logger.error(ex.getMessage());
- if (JoinUtils.checkCartesianJoin(relNode, new ArrayList<>(), new
ArrayList<>(), new ArrayList<>())) {
- throw new UnsupportedRelOperatorException("This query cannot be
planned possibly due to either a cartesian join or an inequality join");
+ if (JoinUtils.checkCartesianJoin(relNode)) {
+ throw JoinUtils.cartesianJoinPlanningException();
} else {
throw ex;
}
@@ -459,8 +457,8 @@ protected Prel convertToPrel(RelNode drel, RelDataType
validatedRowType) throws
} catch (RelOptPlanner.CannotPlanException ex) {
logger.error(ex.getMessage());
- if (JoinUtils.checkCartesianJoin(drel, new ArrayList<>(), new
ArrayList<>(), new ArrayList<>())) {
- throw new UnsupportedRelOperatorException("This query cannot be
planned possibly due to either a cartesian join or an inequality join");
+ if (JoinUtils.checkCartesianJoin(drel)) {
+ throw JoinUtils.cartesianJoinPlanningException();
} else {
throw ex;
}
@@ -482,8 +480,8 @@ protected Prel convertToPrel(RelNode drel, RelDataType
validatedRowType) throws
} catch (RelOptPlanner.CannotPlanException ex) {
logger.error(ex.getMessage());
- if (JoinUtils.checkCartesianJoin(drel, new ArrayList<>(), new
ArrayList<>(), new ArrayList<>())) {
- throw new UnsupportedRelOperatorException("This query cannot be
planned possibly due to either a cartesian join or an inequality join");
+ if (JoinUtils.checkCartesianJoin(drel)) {
+ throw JoinUtils.cartesianJoinPlanningException();
} else {
throw ex;
}
diff --git
a/exec/java-exec/src/main/java/org/apache/drill/exec/planner/sql/parser/UnsupportedOperatorsVisitor.java
b/exec/java-exec/src/main/java/org/apache/drill/exec/planner/sql/parser/UnsupportedOperatorsVisitor.java
index 8505a68a108..b9728410a97 100644
---
a/exec/java-exec/src/main/java/org/apache/drill/exec/planner/sql/parser/UnsupportedOperatorsVisitor.java
+++
b/exec/java-exec/src/main/java/org/apache/drill/exec/planner/sql/parser/UnsupportedOperatorsVisitor.java
@@ -36,7 +36,6 @@
import org.apache.calcite.sql.SqlCall;
import org.apache.calcite.sql.SqlKind;
import org.apache.calcite.sql.SqlJoin;
-import org.apache.calcite.sql.JoinType;
import org.apache.calcite.sql.SqlNode;
import org.apache.calcite.sql.type.SqlTypeName;
import org.apache.calcite.sql.util.SqlShuttle;
@@ -256,14 +255,6 @@ public SqlNode visit(SqlCall sqlCall) {
"See Apache Drill JIRA: DRILL-1986");
throw new UnsupportedOperationException();
}
-
- // Block Cross Join
- if(join.getJoinType() == JoinType.CROSS) {
-
unsupportedOperatorCollector.setException(SqlUnsupportedException.ExceptionType.RELATIONAL,
- "CROSS JOIN is not supported\n" +
- "See Apache Drill JIRA: DRILL-1921");
- throw new UnsupportedOperationException();
- }
}
//Disable UNNEST if the configuration disable it
diff --git
a/exec/java-exec/src/test/java/org/apache/drill/TestDisabledFunctionality.java
b/exec/java-exec/src/test/java/org/apache/drill/TestDisabledFunctionality.java
index 679d01eeb05..1dcd6919956 100644
---
a/exec/java-exec/src/test/java/org/apache/drill/TestDisabledFunctionality.java
+++
b/exec/java-exec/src/test/java/org/apache/drill/TestDisabledFunctionality.java
@@ -16,6 +16,7 @@
* limitations under the License.
*/
package org.apache.drill;
+
import org.apache.drill.categories.UnlikelyTest;
import org.apache.drill.common.exceptions.UserException;
import org.apache.drill.exec.planner.physical.PlannerSettings;
@@ -92,15 +93,6 @@ public void testDisabledNaturalJoin() throws Exception {
}
}
- @Test(expected = UnsupportedRelOperatorException.class) // see DRILL-1921
- public void testDisabledCrossJoin() throws Exception {
- try {
- test("select * from cp.`tpch/nation.parquet` CROSS JOIN
cp.`tpch/region.parquet`");
- } catch(UserException ex) {
- throwAsUnsupportedException(ex);
- }
- }
-
@Test(expected = UnsupportedDataTypeException.class) // see DRILL-1959
public void testDisabledCastTINYINT() throws Exception {
try {
diff --git
a/exec/java-exec/src/test/java/org/apache/drill/exec/planner/sql/CrossJoinTest.java
b/exec/java-exec/src/test/java/org/apache/drill/exec/planner/sql/CrossJoinTest.java
new file mode 100644
index 00000000000..348df328c92
--- /dev/null
+++
b/exec/java-exec/src/test/java/org/apache/drill/exec/planner/sql/CrossJoinTest.java
@@ -0,0 +1,201 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements. See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership. The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License. You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package org.apache.drill.exec.planner.sql;
+
+import org.apache.drill.categories.SqlTest;
+import org.apache.drill.common.exceptions.UserRemoteException;
+import org.apache.drill.exec.planner.physical.PlannerSettings;
+import org.apache.drill.test.ClusterFixture;
+import org.apache.drill.test.ClusterTest;
+import org.junit.After;
+import org.junit.BeforeClass;
+import org.junit.Test;
+import org.junit.experimental.categories.Category;
+
+import static
org.apache.drill.exec.physical.impl.join.JoinUtils.FAILED_TO_PLAN_CARTESIAN_JOIN;
+
+@Category(SqlTest.class)
+public class CrossJoinTest extends ClusterTest {
+
+ private static int NATION_TABLE_RECORDS_COUNT = 25;
+
+ private static int EXPECTED_COUNT = NATION_TABLE_RECORDS_COUNT *
NATION_TABLE_RECORDS_COUNT;
+
+ @BeforeClass
+ public static void setUp() throws Exception {
+ startCluster(ClusterFixture.builder(dirTestWatcher));
+ }
+
+ @After
+ public void tearDown() {
+ client.resetSession(PlannerSettings.NLJOIN_FOR_SCALAR.getOptionName());
+ }
+
+ @Test
+ public void testCrossJoinFailsForEnabledOption() throws Exception {
+ enableNlJoinForScalarOnly();
+
+ thrownException.expect(UserRemoteException.class);
+ thrownException.expectMessage(FAILED_TO_PLAN_CARTESIAN_JOIN);
+
+ queryBuilder().sql(
+ "SELECT l.n_name, r.n_name " +
+ "FROM cp.`tpch/nation.parquet` l " +
+ "CROSS JOIN cp.`tpch/nation.parquet` r")
+ .run();
+ }
+
+ @Test
+ public void testCrossJoinSucceedsForDisabledOption() throws Exception {
+ disableNlJoinForScalarOnly();
+ client.testBuilder().sqlQuery(
+ "SELECT l.n_name,r.n_name " +
+ "FROM cp.`tpch/nation.parquet` l " +
+ "CROSS JOIN cp.`tpch/nation.parquet` r")
+ .expectsNumRecords(EXPECTED_COUNT)
+ .go();
+ }
+
+ @Test
+ public void testCommaJoinFailsForEnabledOption() throws Exception {
+ enableNlJoinForScalarOnly();
+
+ thrownException.expect(UserRemoteException.class);
+ thrownException.expectMessage(FAILED_TO_PLAN_CARTESIAN_JOIN);
+
+ queryBuilder().sql(
+ "SELECT l.n_name,r.n_name " +
+ "FROM cp.`tpch/nation.parquet` l, cp.`tpch/nation.parquet` r")
+ .run();
+ }
+
+ @Test
+ public void testCommaJoinSucceedsForDisabledOption() throws Exception {
+ disableNlJoinForScalarOnly();
+ client.testBuilder().sqlQuery(
+ "SELECT l.n_name,r.n_name " +
+ "FROM cp.`tpch/nation.parquet` l, cp.`tpch/nation.parquet` r")
+ .expectsNumRecords(EXPECTED_COUNT)
+ .go();
+ }
+
+ @Test
+ public void testSubSelectCrossJoinFailsForEnabledOption() throws Exception {
+ enableNlJoinForScalarOnly();
+
+ thrownException.expect(UserRemoteException.class);
+ thrownException.expectMessage(FAILED_TO_PLAN_CARTESIAN_JOIN);
+
+ queryBuilder().sql(
+ "SELECT COUNT(*) c " +
+ "FROM (" +
+ "SELECT l.n_name,r.n_name " +
+ "FROM cp.`tpch/nation.parquet` l " +
+ "CROSS JOIN cp.`tpch/nation.parquet` r" +
+ ")")
+ .run();
+ }
+
+ @Test
+ public void testSubSelectCrossJoinSucceedsForDisabledOption() throws
Exception {
+ disableNlJoinForScalarOnly();
+
+ client.testBuilder()
+ .sqlQuery(
+ "SELECT COUNT(*) c " +
+ "FROM (SELECT l.n_name,r.n_name " +
+ "FROM cp.`tpch/nation.parquet` l " +
+ "CROSS JOIN cp.`tpch/nation.parquet` r)")
+ .unOrdered()
+ .baselineColumns("c")
+ .baselineValues((long) EXPECTED_COUNT)
+ .go();
+ }
+
+ @Test
+ public void textCrossAndCommaJoinFailsForEnabledOption() throws Exception {
+ enableNlJoinForScalarOnly();
+
+ thrownException.expect(UserRemoteException.class);
+ thrownException.expectMessage(FAILED_TO_PLAN_CARTESIAN_JOIN);
+
+ queryBuilder().sql(
+ "SELECT * " +
+ "FROM cp.`tpch/nation.parquet` a, cp.`tpch/nation.parquet` b " +
+ "CROSS JOIN cp.`tpch/nation.parquet` c")
+ .run();
+ }
+
+ @Test
+ public void textCrossAndCommaJoinSucceedsForDisabledOption() throws
Exception {
+ disableNlJoinForScalarOnly();
+
+ client.testBuilder().sqlQuery(
+ "SELECT * " +
+ "FROM cp.`tpch/nation.parquet` a, cp.`tpch/nation.parquet` b " +
+ "CROSS JOIN cp.`tpch/nation.parquet` c")
+ .expectsNumRecords(NATION_TABLE_RECORDS_COUNT * EXPECTED_COUNT)
+ .go();
+ }
+
+ @Test
+ public void testCrossApplyFailsForEnabledOption() throws Exception {
+ enableNlJoinForScalarOnly();
+
+ thrownException.expect(UserRemoteException.class);
+ thrownException.expectMessage(FAILED_TO_PLAN_CARTESIAN_JOIN);
+
+ queryBuilder().sql(
+ "SELECT * " +
+ "FROM cp.`tpch/nation.parquet` l " +
+ "CROSS APPLY cp.`tpch/nation.parquet` r")
+ .run();
+ }
+
+ @Test
+ public void testCrossApplySucceedsForDisabledOption() throws Exception {
+ disableNlJoinForScalarOnly();
+
+ client.testBuilder().sqlQuery(
+ "SELECT * " +
+ "FROM cp.`tpch/nation.parquet` l " +
+ "CROSS APPLY cp.`tpch/nation.parquet` r")
+ .expectsNumRecords(EXPECTED_COUNT)
+ .go();
+ }
+
+ @Test
+ public void testCrossJoinSucceedsForEnabledOptionAndScalarInput() throws
Exception {
+ enableNlJoinForScalarOnly();
+
+ client.testBuilder().sqlQuery(
+ "SELECT * " +
+ "FROM cp.`tpch/nation.parquet` l " +
+ "CROSS JOIN (SELECT * FROM cp.`tpch/nation.parquet` r LIMIT 1)")
+ .expectsNumRecords(NATION_TABLE_RECORDS_COUNT)
+ .go();
+ }
+
+ private static void disableNlJoinForScalarOnly() {
+ client.alterSession(PlannerSettings.NLJOIN_FOR_SCALAR.getOptionName(),
false);
+ }
+
+ private static void enableNlJoinForScalarOnly() {
+ client.alterSession(PlannerSettings.NLJOIN_FOR_SCALAR.getOptionName(),
true);
+ }
+}
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us...@infra.apache.org
> Implement CROSS JOIN
> --------------------
>
> Key: DRILL-786
> URL: https://issues.apache.org/jira/browse/DRILL-786
> Project: Apache Drill
> Issue Type: New Feature
> Components: Query Planning & Optimization
> Affects Versions: 1.14.0
> Reporter: Krystal
> Assignee: Igor Guzenko
> Priority: Major
> Labels: doc-impacting, ready-to-commit
> Fix For: 1.15.0
>
>
> *For documentation:*
> Due to it's nature cross joins can produce extremely large results, and we
> don't recommend to use the feature if you don't know that results won't cause
> out of memory errors. That's why cross joins are disabled by default, to
> allow explicit cross join syntax you'll have to enable it by setting
> planner.enable_nljoin_for_scalar_only option to false. There is also another
> limitation related to usage of aggregation function over cross join relation.
> When input row count for aggregate function is bigger than value of
> planner.slice_target option then query can't be planned (because 2 phase
> aggregation can't be created in such case), as a workaround you should set
> planner.enable_multiphase_agg to false. This limitation will be active until
> fix of https://issues.apache.org/jira/browse/DRILL-6839.
> ---------------------------------------------------------------------------------------------------------------------
> git.commit.id.abbrev=5d7e3d3
> 0: jdbc:drill:schema=dfs> select student.name, student.age,
> student.studentnum from student cross join voter where student.age = 20 and
> voter.age = 20;
> Query failed: org.apache.drill.exec.rpc.RpcException: Remote failure while
> running query.[error_id: "af90e65a-c4d7-4635-a436-bbc1444c8db2"
> Root: rel#318:Subset#28.PHYSICAL.SINGLETON([]).[]
> Original rel:
> AbstractConverter(subset=[rel#318:Subset#28.PHYSICAL.SINGLETON([]).[]],
> convention=[PHYSICAL], DrillDistributionTraitDef=[SINGLETON([])], sort=[[]]):
> rowcount = 22500.0, cumulative cost = {inf}, id = 320
> DrillScreenRel(subset=[rel#317:Subset#28.LOGICAL.ANY([]).[]]): rowcount =
> 22500.0, cumulative cost = {2250.0 rows, 2250.0 cpu, 0.0 io, 0.0 network}, id
> = 316
> DrillProjectRel(subset=[rel#315:Subset#27.LOGICAL.ANY([]).[]], name=[$2],
> age=[$1], studentnum=[$3]): rowcount = 22500.0, cumulative cost = {22500.0
> rows, 12.0 cpu, 0.0 io, 0.0 network}, id = 314
> DrillJoinRel(subset=[rel#313:Subset#26.LOGICAL.ANY([]).[]],
> condition=[true], joinType=[inner]): rowcount = 22500.0, cumulative cost =
> {22500.0 rows, 0.0 cpu, 0.0 io, 0.0 network}, id = 312
> DrillFilterRel(subset=[rel#308:Subset#23.LOGICAL.ANY([]).[]],
> condition=[=(CAST($1):INTEGER, 20)]): rowcount = 150.0, cumulative cost =
> {1000.0 rows, 4000.0 cpu, 0.0 io, 0.0 network}, id = 307
> DrillScanRel(subset=[rel#306:Subset#22.LOGICAL.ANY([]).[]],
> table=[[dfs, student]]): rowcount = 1000.0, cumulative cost = {1000.0 rows,
> 4000.0 cpu, 0.0 io, 0.0 network}, id = 129
> DrillFilterRel(subset=[rel#311:Subset#25.LOGICAL.ANY([]).[]],
> condition=[=(CAST($1):INTEGER, 20)]): rowcount = 150.0, cumulative cost =
> {1000.0 rows, 4000.0 cpu, 0.0 io, 0.0 network}, id = 310
> DrillScanRel(subset=[rel#309:Subset#24.LOGICAL.ANY([]).[]],
> table=[[dfs, voter]]): rowcount = 1000.0, cumulative cost = {1000.0 rows,
> 2000.0 cpu, 0.0 io, 0.0 network}, id = 140
> Stack trace:
> org.eigenbase.relopt.RelOptPlanner$CannotPlanException: Node
> [rel#318:Subset#28.PHYSICAL.SINGLETON([]).[]] could not be implemented;
> planner state:
> Root: rel#318:Subset#28.PHYSICAL.SINGLETON([]).[]
> Original rel:
> AbstractConverter(subset=[rel#318:Subset#28.PHYSICAL.SINGLETON([]).[]],
> convention=[PHYSICAL], DrillDistributionTraitDef=[SINGLETON([])], sort=[[]]):
> rowcount = 22500.0, cumulative cost = {inf}, id = 320
> DrillScreenRel(subset=[rel#317:Subset#28.LOGICAL.ANY([]).[]]): rowcount =
> 22500.0, cumulative cost = {2250.0 rows, 2250.0 cpu, 0.0 io, 0.0 network}, id
> = 316
> DrillProjectRel(subset=[rel#315:Subset#27.LOGICAL.ANY([]).[]], name=[$2],
> age=[$1], studentnum=[$3]): rowcount = 22500.0, cumulative cost = {22500.0
> rows, 12.0 cpu, 0.0 io, 0.0 network}, id = 314
> DrillJoinRel(subset=[rel#313:Subset#26.LOGICAL.ANY([]).[]],
> condition=[true], joinType=[inner]): rowcount = 22500.0, cumulative cost =
> {22500.0 rows, 0.0 cpu, 0.0 io, 0.0 network}, id = 312
> DrillFilterRel(subset=[rel#308:Subset#23.LOGICAL.ANY([]).[]],
> condition=[=(CAST($1):INTEGER, 20)]): rowcount = 150.0, cumulative cost =
> {1000.0 rows, 4000.0 cpu, 0.0 io, 0.0 network}, id = 307
> DrillScanRel(subset=[rel#306:Subset#22.LOGICAL.ANY([]).[]],
> table=[[dfs, student]]): rowcount = 1000.0, cumulative cost = {1000.0 rows,
> 4000.0 cpu, 0.0 io, 0.0 network}, id = 129
> DrillFilterRel(subset=[rel#311:Subset#25.LOGICAL.ANY([]).[]],
> condition=[=(CAST($1):INTEGER, 20)]): rowcount = 150.0, cumulative cost =
> {1000.0 rows, 4000.0 cpu, 0.0 io, 0.0 network}, id = 310
> DrillScanRel(subset=[rel#309:Subset#24.LOGICAL.ANY([]).[]],
> table=[[dfs, voter]]): rowcount = 1000.0, cumulative cost = {1000.0 rows,
> 2000.0 cpu, 0.0 io, 0.0 network}, id = 140
> Sets:
> Set#22, type: (DrillRecordRow[*, age, name, studentnum])
> rel#306:Subset#22.LOGICAL.ANY([]).[], best=rel#129,
> importance=0.5904900000000001
> rel#129:DrillScanRel.LOGICAL.ANY([]).[](table=[dfs, student]),
> rowcount=1000.0, cumulative cost={1000.0 rows, 4000.0 cpu, 0.0 io, 0.0
> network}
> rel#333:AbstractConverter.LOGICAL.ANY([]).[](child=rel#332:Subset#22.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#337:AbstractConverter.LOGICAL.ANY([]).[](child=rel#336:Subset#22.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#332:Subset#22.PHYSICAL.ANY([]).[], best=rel#335, importance=0.531441
> rel#334:AbstractConverter.PHYSICAL.ANY([]).[](child=rel#306:Subset#22.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#338:AbstractConverter.PHYSICAL.ANY([]).[](child=rel#336:Subset#22.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#339:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#306:Subset#22.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#340:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#332:Subset#22.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#335:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan
> [entries=[ReadEntryWithPath [path=maprfs:/drill/testdata/p1tests/student]],
> selectionRoot=/drill/testdata/p1tests/student, columns=[SchemaPath [`age`],
> SchemaPath [`name`], SchemaPath [`studentnum`]]]), rowcount=1000.0,
> cumulative cost={1000.0 rows, 4000.0 cpu, 0.0 io, 0.0 network}
> rel#336:Subset#22.PHYSICAL.SINGLETON([]).[], best=rel#335,
> importance=0.4782969000000001
> rel#339:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#306:Subset#22.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#340:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#332:Subset#22.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#335:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan
> [entries=[ReadEntryWithPath [path=maprfs:/drill/testdata/p1tests/student]],
> selectionRoot=/drill/testdata/p1tests/student, columns=[SchemaPath [`age`],
> SchemaPath [`name`], SchemaPath [`studentnum`]]]), rowcount=1000.0,
> cumulative cost={1000.0 rows, 4000.0 cpu, 0.0 io, 0.0 network}
> Set#23, type: (DrillRecordRow[*, age, name, studentnum])
> rel#308:Subset#23.LOGICAL.ANY([]).[], best=rel#307, importance=0.6561
> rel#307:DrillFilterRel.LOGICAL.ANY([]).[](child=rel#306:Subset#22.LOGICAL.ANY([]).[],condition==(CAST($1):INTEGER,
> 20)), rowcount=150.0, cumulative cost={2000.0 rows, 8000.0 cpu, 0.0 io, 0.0
> network}
> rel#343:AbstractConverter.LOGICAL.ANY([]).[](child=rel#342:Subset#23.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=150.0, cumulative cost={inf}
> rel#342:Subset#23.PHYSICAL.SINGLETON([]).[], best=rel#341,
> importance=0.5904900000000001
> rel#344:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#308:Subset#23.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=150.0, cumulative cost={inf}
> rel#341:FilterPrel.PHYSICAL.SINGLETON([]).[](child=rel#332:Subset#22.PHYSICAL.ANY([]).[],condition==(CAST($1):INTEGER,
> 20)), rowcount=150.0, cumulative cost={2000.0 rows, 8000.0 cpu, 0.0 io, 0.0
> network}
> Set#24, type: (DrillRecordRow[*, age])
> rel#309:Subset#24.LOGICAL.ANY([]).[], best=rel#140,
> importance=0.5904900000000001
> rel#140:DrillScanRel.LOGICAL.ANY([]).[](table=[dfs, voter]), rowcount=1000.0,
> cumulative cost={1000.0 rows, 2000.0 cpu, 0.0 io, 0.0 network}
> rel#330:AbstractConverter.LOGICAL.ANY([]).[](child=rel#329:Subset#24.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#349:AbstractConverter.LOGICAL.ANY([]).[](child=rel#348:Subset#24.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#329:Subset#24.PHYSICAL.ANY([]).[], best=rel#347, importance=0.531441
> rel#331:AbstractConverter.PHYSICAL.ANY([]).[](child=rel#309:Subset#24.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#350:AbstractConverter.PHYSICAL.ANY([]).[](child=rel#348:Subset#24.PHYSICAL.SINGLETON([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#351:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#309:Subset#24.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#352:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#329:Subset#24.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#347:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan
> [entries=[ReadEntryWithPath [path=maprfs:/drill/testdata/p1tests/voter]],
> selectionRoot=/drill/testdata/p1tests/voter, columns=[SchemaPath [`age`]]]),
> rowcount=1000.0, cumulative cost={1000.0 rows, 2000.0 cpu, 0.0 io, 0.0
> network}
> rel#348:Subset#24.PHYSICAL.SINGLETON([]).[], best=rel#347,
> importance=0.4782969000000001
> rel#351:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#309:Subset#24.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#352:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#329:Subset#24.PHYSICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=1000.0, cumulative cost={inf}
> rel#347:ScanPrel.PHYSICAL.SINGLETON([]).[](groupscan=ParquetGroupScan
> [entries=[ReadEntryWithPath [path=maprfs:/drill/testdata/p1tests/voter]],
> selectionRoot=/drill/testdata/p1tests/voter, columns=[SchemaPath [`age`]]]),
> rowcount=1000.0, cumulative cost={1000.0 rows, 2000.0 cpu, 0.0 io, 0.0
> network}
> Set#25, type: (DrillRecordRow[*, age])
> rel#311:Subset#25.LOGICAL.ANY([]).[], best=rel#310, importance=0.6561
> rel#310:DrillFilterRel.LOGICAL.ANY([]).[](child=rel#309:Subset#24.LOGICAL.ANY([]).[],condition==(CAST($1):INTEGER,
> 20)), rowcount=150.0, cumulative cost={2000.0 rows, 6000.0 cpu, 0.0 io, 0.0
> network}
> rel#355:AbstractConverter.LOGICAL.ANY([]).[](child=rel#354:Subset#25.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=150.0, cumulative cost={inf}
> rel#354:Subset#25.PHYSICAL.SINGLETON([]).[], best=rel#353,
> importance=0.5904900000000001
> rel#356:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#311:Subset#25.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=150.0, cumulative cost={inf}
> rel#353:FilterPrel.PHYSICAL.SINGLETON([]).[](child=rel#329:Subset#24.PHYSICAL.ANY([]).[],condition==(CAST($1):INTEGER,
> 20)), rowcount=150.0, cumulative cost={2000.0 rows, 6000.0 cpu, 0.0 io, 0.0
> network}
> Set#26, type: RecordType(ANY *, ANY age, ANY name, ANY studentnum, ANY *0,
> ANY age0)
> rel#313:Subset#26.LOGICAL.ANY([]).[], best=rel#312,
> importance=0.7290000000000001
> rel#312:DrillJoinRel.LOGICAL.ANY([]).[](left=rel#308:Subset#23.LOGICAL.ANY([]).[],right=rel#311:Subset#25.LOGICAL.ANY([]).[],condition=true,joinType=inner),
> rowcount=22500.0, cumulative cost={4001.0 rows, 14001.0 cpu, 0.0 io, 0.0
> network}
> rel#327:AbstractConverter.LOGICAL.ANY([]).[](child=rel#326:Subset#26.PHYSICAL.ANY([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
> rel#326:Subset#26.PHYSICAL.ANY([]).[], best=null, importance=0.6561
> rel#328:AbstractConverter.PHYSICAL.ANY([]).[](child=rel#313:Subset#26.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=22500.0, cumulative cost={inf}
> Set#27, type: RecordType(ANY name, ANY age, ANY studentnum)
> rel#315:Subset#27.LOGICAL.ANY([]).[], best=rel#314, importance=0.81
> rel#314:DrillProjectRel.LOGICAL.ANY([]).[](child=rel#313:Subset#26.LOGICAL.ANY([]).[],name=$2,age=$1,studentnum=$3),
> rowcount=22500.0, cumulative cost={26501.0 rows, 14013.0 cpu, 0.0 io, 0.0
> network}
> rel#322:AbstractConverter.LOGICAL.ANY([]).[](child=rel#321:Subset#27.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
> rel#321:Subset#27.PHYSICAL.SINGLETON([]).[], best=null,
> importance=0.7290000000000001
> rel#323:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#315:Subset#27.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=22500.0, cumulative cost={inf}
> Set#28, type: RecordType(ANY name, ANY age, ANY studentnum)
> rel#317:Subset#28.LOGICAL.ANY([]).[], best=rel#316, importance=0.9
> rel#316:DrillScreenRel.LOGICAL.ANY([]).[](child=rel#315:Subset#27.LOGICAL.ANY([]).[]),
> rowcount=22500.0, cumulative cost={28751.0 rows, 16263.0 cpu, 0.0 io, 0.0
> network}
> rel#319:AbstractConverter.LOGICAL.ANY([]).[](child=rel#318:Subset#28.PHYSICAL.SINGLETON([]).[],convention=LOGICAL,DrillDistributionTraitDef=ANY([]),sort=[]),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
> rel#318:Subset#28.PHYSICAL.SINGLETON([]).[], best=null, importance=1.0
> rel#320:AbstractConverter.PHYSICAL.SINGLETON([]).[](child=rel#317:Subset#28.LOGICAL.ANY([]).[],convention=PHYSICAL,DrillDistributionTraitDef=SINGLETON([]),sort=[]),
> rowcount=22500.0, cumulative cost={inf}
> rel#324:ScreenPrel.PHYSICAL.SINGLETON([]).[](child=rel#321:Subset#27.PHYSICAL.SINGLETON([]).[]),
> rowcount=1.7976931348623157E308, cumulative cost={inf}
> org.eigenbase.relopt.volcano.RelSubset$CheapestPlanReplacer.visit(RelSubset.java:445)
> ~[optiq-core-0.7-20140513.013236-5.jar:na]
> org.eigenbase.relopt.volcano.RelSubset.buildCheapestPlan(RelSubset.java:287)
> ~[optiq-core-0.7-20140513.013236-5.jar:na]
> org.eigenbase.relopt.volcano.VolcanoPlanner.findBestExp(VolcanoPlanner.java:669)
> ~[optiq-core-0.7-20140513.013236-5.jar:na]
> net.hydromatic.optiq.prepare.PlannerImpl.transform(PlannerImpl.java:271)
> ~[optiq-core-0.7-20140513.013236-5.jar:na]
> org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.convertToPrel(DefaultSqlHandler.java:119)
>
> ~[drill-java-exec-1.0.0-m2-incubating-SNAPSHOT-rebuffed.jar:1.0.0-m2-incubating-SNAPSHOT]
> org.apache.drill.exec.planner.sql.handlers.DefaultSqlHandler.getPlan(DefaultSqlHandler.java:89)
>
> ~[drill-java-exec-1.0.0-m2-incubating-SNAPSHOT-rebuffed.jar:1.0.0-m2-incubating-SNAPSHOT]
> org.apache.drill.exec.planner.sql.DrillSqlWorker.getPlan(DrillSqlWorker.java:134)
>
> ~[drill-java-exec-1.0.0-m2-incubating-SNAPSHOT-rebuffed.jar:1.0.0-m2-incubating-SNAPSHOT]
> org.apache.drill.exec.work.foreman.Foreman.runSQL(Foreman.java:338)
> [drill-java-exec-1.0.0-m2-incubating-SNAPSHOT-rebuffed.jar:1.0.0-m2-incubating-SNAPSHOT]
> org.apache.drill.exec.work.foreman.Foreman.run(Foreman.java:186)
> [drill-java-exec-1.0.0-m2-incubating-SNAPSHOT-rebuffed.jar:1.0.0-m2-incubating-SNAPSHOT]
> java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1145)
> [na:1.7.0_45]
> java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:615)
> [na:1.7.0_45]
> java.lang.Thread.run(Thread.java:744) [na:1.7.0_45]
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