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Posted to commits@hive.apache.org by jc...@apache.org on 2020/05/04 19:57:58 UTC
[hive] branch master updated: HIVE-22256: Rewriting fails when `IN`
clause has items in different order in MV and query (Jesus Camacho
Rodriguez, reviewed by Vineet Garg)
This is an automated email from the ASF dual-hosted git repository.
jcamacho pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/hive.git
The following commit(s) were added to refs/heads/master by this push:
new 5a119b9 HIVE-22256: Rewriting fails when `IN` clause has items in different order in MV and query (Jesus Camacho Rodriguez, reviewed by Vineet Garg)
5a119b9 is described below
commit 5a119b9b556e1bfb0d7fdfcae2b5161b34d83f55
Author: Jesus Camacho Rodriguez <jc...@apache.org>
AuthorDate: Thu Apr 30 22:08:44 2020 -0700
HIVE-22256: Rewriting fails when `IN` clause has items in different order in MV and query (Jesus Camacho Rodriguez, reviewed by Vineet Garg)
Close apache/hive#1002
---
.../test/resources/testconfiguration.properties | 1 +
.../calcite/rules/HiveInBetweenExpandRule.java | 198 ++++++++++++++
.../calcite/translator/RexNodeConverter.java | 30 ++-
.../hadoop/hive/ql/parse/CalcitePlanner.java | 25 +-
.../materialized_view_rewrite_in_between.q | 61 +++++
.../materialized_view_rewrite_in_between.q.out | 285 +++++++++++++++++++++
.../llap/materialized_view_rewrite_ssb.q.out | 24 +-
.../llap/materialized_view_rewrite_ssb_2.q.out | 24 +-
8 files changed, 610 insertions(+), 38 deletions(-)
diff --git a/itests/src/test/resources/testconfiguration.properties b/itests/src/test/resources/testconfiguration.properties
index 00a0c0a..e3a25e7 100644
--- a/itests/src/test/resources/testconfiguration.properties
+++ b/itests/src/test/resources/testconfiguration.properties
@@ -658,6 +658,7 @@ minillaplocal.query.files=\
materialized_view_rewrite_8.q,\
materialized_view_rewrite_9.q,\
materialized_view_rewrite_10.q,\
+ materialized_view_rewrite_in_between.q,\
materialized_view_rewrite_no_join_opt.q,\
materialized_view_rewrite_no_join_opt_2.q,\
materialized_view_rewrite_part_1.q,\
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveInBetweenExpandRule.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveInBetweenExpandRule.java
new file mode 100644
index 0000000..0e1c65f
--- /dev/null
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/rules/HiveInBetweenExpandRule.java
@@ -0,0 +1,198 @@
+/*
+ * 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.hadoop.hive.ql.optimizer.calcite.rules;
+
+import java.util.ArrayList;
+import java.util.List;
+import org.apache.calcite.plan.RelOptRule;
+import org.apache.calcite.plan.RelOptRuleCall;
+import org.apache.calcite.rel.RelNode;
+import org.apache.calcite.rel.core.Filter;
+import org.apache.calcite.rel.core.Join;
+import org.apache.calcite.rel.core.Project;
+import org.apache.calcite.rex.RexBuilder;
+import org.apache.calcite.rex.RexCall;
+import org.apache.calcite.rex.RexNode;
+import org.apache.calcite.rex.RexShuttle;
+import org.apache.calcite.rex.RexUtil;
+import org.apache.calcite.sql.fun.SqlStdOperatorTable;
+import org.apache.hadoop.hive.ql.optimizer.calcite.HiveRelFactories;
+import org.apache.hadoop.hive.ql.optimizer.calcite.translator.RexNodeConverter;
+
+/**
+ * This class contains rules to rewrite IN/BETWEEN clauses into their
+ * corresponding AND/OR versions.
+ * It is the counterpart to {@link HivePointLookupOptimizerRule}.
+ */
+public class HiveInBetweenExpandRule {
+
+ public static final FilterRule FILTER_INSTANCE = new FilterRule();
+ public static final JoinRule JOIN_INSTANCE = new JoinRule();
+ public static final ProjectRule PROJECT_INSTANCE = new ProjectRule();
+
+ /** Rule adapter to apply the transformation to Filter conditions. */
+ private static class FilterRule extends RelOptRule {
+
+ FilterRule() {
+ super(operand(Filter.class, any()), HiveRelFactories.HIVE_BUILDER, null);
+ }
+
+ @Override
+ public void onMatch(RelOptRuleCall call) {
+ final Filter filter = call.rel(0);
+ RexInBetweenExpander expander = new RexInBetweenExpander(
+ filter.getCluster().getRexBuilder());
+ RexNode condition = expander.apply(filter.getCondition());
+
+ if (!expander.modified) {
+ return;
+ }
+
+ RelNode newFilter = filter.copy(filter.getTraitSet(),
+ filter.getInput(), condition);
+
+ call.transformTo(newFilter);
+ }
+ }
+
+ /** Rule adapter to apply the transformation to Join conditions. */
+ private static class JoinRule extends RelOptRule {
+
+ JoinRule() {
+ super(operand(Join.class, any()), HiveRelFactories.HIVE_BUILDER, null);
+ }
+
+ @Override
+ public void onMatch(RelOptRuleCall call) {
+ final Join join = call.rel(0);
+ RexInBetweenExpander expander = new RexInBetweenExpander(
+ join.getCluster().getRexBuilder());
+ RexNode condition = expander.apply(join.getCondition());
+
+ if (!expander.modified) {
+ return;
+ }
+
+ RelNode newJoin = join.copy(join.getTraitSet(),
+ condition,
+ join.getLeft(),
+ join.getRight(),
+ join.getJoinType(),
+ join.isSemiJoinDone());
+
+ call.transformTo(newJoin);
+ }
+ }
+
+ /** Rule adapter to apply the transformation to Project expressions. */
+ private static class ProjectRule extends RelOptRule {
+
+ ProjectRule() {
+ super(operand(Project.class, any()), HiveRelFactories.HIVE_BUILDER, null);
+ }
+
+ @Override
+ public void onMatch(RelOptRuleCall call) {
+ final Project project = call.rel(0);
+ RexInBetweenExpander expander = new RexInBetweenExpander(
+ project.getCluster().getRexBuilder());
+ List<RexNode> newProjects = new ArrayList<>();
+ for (RexNode expr : project.getProjects()) {
+ newProjects.add(expander.apply(expr));
+ }
+
+ if (!expander.modified) {
+ return;
+ }
+
+ Project newProject = project.copy(project.getTraitSet(),
+ project.getInput(), newProjects, project.getRowType());
+
+ call.transformTo(newProject);
+ }
+ }
+
+
+ /**
+ * Class that transforms IN/BETWEEN clauses in an expression.
+ * If any call is modified, the modified flag will be set to
+ * true after its execution.
+ */
+ private static final class RexInBetweenExpander extends RexShuttle {
+
+ private final RexBuilder rexBuilder;
+ private boolean modified;
+
+ private RexInBetweenExpander(RexBuilder rexBuilder) {
+ this.rexBuilder = rexBuilder;
+ this.modified = false;
+ }
+
+ @Override
+ public RexNode visitCall(final RexCall call) {
+ switch (call.getKind()) {
+ case AND: {
+ boolean[] update = {false};
+ List<RexNode> newOperands = visitList(call.operands, update);
+ if (update[0]) {
+ return RexUtil.composeConjunction(rexBuilder, newOperands);
+ }
+ return call;
+ }
+ case OR: {
+ boolean[] update = {false};
+ List<RexNode> newOperands = visitList(call.operands, update);
+ if (update[0]) {
+ return RexUtil.composeDisjunction(rexBuilder, newOperands);
+ }
+ return call;
+ }
+ case IN: {
+ List<RexNode> newOperands = RexNodeConverter.transformInToOrOperands(
+ call.getOperands(), rexBuilder);
+ if (newOperands == null) {
+ // We could not execute transformation, return expression
+ return call;
+ }
+ modified = true;
+ if (newOperands.size() > 1) {
+ return rexBuilder.makeCall(SqlStdOperatorTable.OR, newOperands);
+ }
+ return newOperands.get(0);
+ }
+ case BETWEEN: {
+ List<RexNode> newOperands = RexNodeConverter.rewriteBetweenChildren(
+ call.getOperands(), rexBuilder);
+ modified = true;
+ if (call.getOperands().get(0).isAlwaysTrue()) {
+ return rexBuilder.makeCall(SqlStdOperatorTable.OR, newOperands);
+ }
+ return rexBuilder.makeCall(SqlStdOperatorTable.AND, newOperands);
+ }
+ default:
+ return super.visitCall(call);
+ }
+ }
+
+ }
+
+ private HiveInBetweenExpandRule() {
+ // Utility class, defeat instantiation
+ }
+
+}
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/RexNodeConverter.java b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/RexNodeConverter.java
index bd1c84b..99dfbfc 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/RexNodeConverter.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/optimizer/calcite/translator/RexNodeConverter.java
@@ -277,21 +277,12 @@ public class RexNodeConverter {
childRexNodeLst = rewriteToDateChildren(childRexNodeLst, rexBuilder);
} else if (calciteOp.getKind() == SqlKind.BETWEEN) {
assert childRexNodeLst.get(0).isAlwaysTrue() || childRexNodeLst.get(0).isAlwaysFalse();
- boolean invert = childRexNodeLst.get(0).isAlwaysTrue();
- SqlBinaryOperator cmpOp;
- if (invert) {
+ childRexNodeLst = rewriteBetweenChildren(childRexNodeLst, rexBuilder);
+ if (childRexNodeLst.get(0).isAlwaysTrue()) {
calciteOp = SqlStdOperatorTable.OR;
- cmpOp = SqlStdOperatorTable.GREATER_THAN;
} else {
calciteOp = SqlStdOperatorTable.AND;
- cmpOp = SqlStdOperatorTable.LESS_THAN_OR_EQUAL;
}
- RexNode op = childRexNodeLst.get(1);
- RexNode rangeL = childRexNodeLst.get(2);
- RexNode rangeH = childRexNodeLst.get(3);
- childRexNodeLst.clear();
- childRexNodeLst.add(rexBuilder.makeCall(cmpOp, rangeL, op));
- childRexNodeLst.add(rexBuilder.makeCall(cmpOp, op, rangeH));
}
expr = rexBuilder.makeCall(retType, calciteOp, childRexNodeLst);
} else {
@@ -606,6 +597,23 @@ public class RexNodeConverter {
return convertedChildList;
}
+ public static List<RexNode> rewriteBetweenChildren(List<RexNode> childRexNodeLst,
+ RexBuilder rexBuilder) {
+ final List<RexNode> convertedChildList = Lists.newArrayList();
+ SqlBinaryOperator cmpOp;
+ if (childRexNodeLst.get(0).isAlwaysTrue()) {
+ cmpOp = SqlStdOperatorTable.GREATER_THAN;
+ } else {
+ cmpOp = SqlStdOperatorTable.LESS_THAN_OR_EQUAL;
+ }
+ RexNode op = childRexNodeLst.get(1);
+ RexNode rangeL = childRexNodeLst.get(2);
+ RexNode rangeH = childRexNodeLst.get(3);
+ convertedChildList.add(rexBuilder.makeCall(cmpOp, rangeL, op));
+ convertedChildList.add(rexBuilder.makeCall(cmpOp, op, rangeH));
+ return convertedChildList;
+ }
+
private static boolean checkForStatefulFunctions(List<ExprNodeDesc> list) {
for (ExprNodeDesc node : list) {
if (node instanceof ExprNodeGenericFuncDesc) {
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java b/ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java
index 7b34e91..bf08306 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/parse/CalcitePlanner.java
@@ -212,6 +212,7 @@ import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveFilterProjectTransp
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveFilterSetOpTransposeRule;
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveFilterSortPredicates;
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveFilterSortTransposeRule;
+import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveInBetweenExpandRule;
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveInsertExchange4JoinRule;
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveIntersectMergeRule;
import org.apache.hadoop.hive.ql.optimizer.calcite.rules.HiveIntersectRewriteRule;
@@ -2151,7 +2152,7 @@ public class CalcitePlanner extends SemanticAnalyzer {
// There is a Project on top (due to nullability)
final Project pq = (Project) viewScan;
newViewScan = HiveProject.create(optCluster, copyNodeScan(pq.getInput()),
- pq.getChildExps(), pq.getRowType(), Collections.<RelCollation> emptyList());
+ pq.getChildExps(), pq.getRowType(), Collections.emptyList());
} else {
newViewScan = copyNodeScan(viewScan);
}
@@ -2192,10 +2193,19 @@ public class CalcitePlanner extends SemanticAnalyzer {
perfLogger.PerfLogBegin(this.getClass().getName(), PerfLogger.OPTIMIZER);
+ // We need to expand IN/BETWEEN expressions when materialized view rewriting
+ // is triggered since otherwise this may prevent some rewritings from happening
+ HepProgramBuilder program = new HepProgramBuilder();
+ generatePartialProgram(program, false, HepMatchOrder.DEPTH_FIRST,
+ HiveInBetweenExpandRule.FILTER_INSTANCE,
+ HiveInBetweenExpandRule.JOIN_INSTANCE,
+ HiveInBetweenExpandRule.PROJECT_INSTANCE);
+ basePlan = executeProgram(basePlan, program.build(), mdProvider, executorProvider);
+
if (mvRebuild) {
// If it is a materialized view rebuild, we use the HepPlanner, since we only have
// one MV and we would like to use it to create incremental maintenance plans
- final HepProgramBuilder program = new HepProgramBuilder();
+ program = new HepProgramBuilder();
generatePartialProgram(program, true, HepMatchOrder.TOP_DOWN,
HiveMaterializedViewRule.MATERIALIZED_VIEW_REWRITING_RULES);
// Add materialization for rebuild to planner
@@ -2253,7 +2263,7 @@ public class CalcitePlanner extends SemanticAnalyzer {
visitor.go(basePlan);
if (visitor.isRewritingAllowed()) {
// Trigger rewriting to remove UNION branch with MV
- final HepProgramBuilder program = new HepProgramBuilder();
+ program = new HepProgramBuilder();
if (visitor.isContainsAggregate()) {
generatePartialProgram(program, false, HepMatchOrder.DEPTH_FIRST,
HiveAggregateIncrementalRewritingRule.INSTANCE);
@@ -2463,6 +2473,15 @@ public class CalcitePlanner extends SemanticAnalyzer {
HiveProjectSortExchangeTransposeRule.INSTANCE, HiveProjectMergeRule.INSTANCE);
}
+ // 10. We need to expand IN/BETWEEN expressions when loading a materialized view
+ // since otherwise this may prevent some rewritings from happening
+ if (ctx.isLoadingMaterializedView()) {
+ generatePartialProgram(program, false, HepMatchOrder.DEPTH_FIRST,
+ HiveInBetweenExpandRule.FILTER_INSTANCE,
+ HiveInBetweenExpandRule.JOIN_INSTANCE,
+ HiveInBetweenExpandRule.PROJECT_INSTANCE);
+ }
+
// Trigger program
perfLogger.PerfLogBegin(this.getClass().getName(), PerfLogger.OPTIMIZER);
basePlan = executeProgram(basePlan, program.build(), mdProvider, executorProvider);
diff --git a/ql/src/test/queries/clientpositive/materialized_view_rewrite_in_between.q b/ql/src/test/queries/clientpositive/materialized_view_rewrite_in_between.q
new file mode 100644
index 0000000..f769888
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/materialized_view_rewrite_in_between.q
@@ -0,0 +1,61 @@
+SET hive.cli.errors.ignore=true;
+SET hive.support.concurrency=true;
+SET hive.txn.manager=org.apache.hadoop.hive.ql.lockmgr.DbTxnManager;
+SET metastore.strict.managed.tables=true;
+SET hive.default.fileformat=textfile;
+SET hive.default.fileformat.managed=orc;
+SET metastore.create.as.acid=true;
+SET hive.groupby.position.alias=true;
+
+drop database if exists expr2 cascade;
+create database expr2;
+use expr2;
+create table sales(prod_id int, cust_id int, store_id int, sale_date timestamp, qty int, amt double, descr string);
+insert into sales values
+(11,1,101,'12/24/2013',1000,1234.00,'onedummytwo');
+
+create materialized view mv1 stored as orc as (select prod_id, cust_id, store_id, sale_date, qty, amt, descr from sales where cust_id in (1,2,3,4,5));
+-- SAME ORDER
+explain cbo
+select prod_id, cust_id from sales where cust_id in (1,2,3,4,5);
+-- DIFFERENT ORDER
+explain cbo
+select prod_id, cust_id from sales where cust_id in (5,1,2,3,4);
+
+drop materialized view mv1;
+
+drop database if exists in_pred cascade;
+create database in_pred;
+use in_pred;
+create table census_pop (state string, year int, population bigint);
+insert into census_pop values("AZ", 2010, 200), ("CA", 2011, 100), ("CA", 2010, 200), ("AZ", 2010, 100), ("NY", 2011, 121), ("AZ", 2011, 1000), ("OR", 2015, 1001), ("WA", 2016, 121), ("NJ", 2010, 500), ("NJ", 2010, 5000), ("AZ", 2014, 1004), ("TX", 2010, 1000), ("AZ", 2010, 1000), ("PT", 2017, 1200), ("NM", 2018, 120), ("CA", 2010, 200);
+
+create materialized view mv2 stored as orc as select state, year, sum(population) from census_pop where year IN (2010, 2018) group by state, year;
+-- SAME
+explain cbo
+select state, year, sum(population) from census_pop where year IN (2010, 2018) group by state, year;
+-- PARTIAL IN EQUALS
+explain cbo
+select state, year, sum(population) from census_pop where year = 2010 group by state, year;
+-- PARTIAL
+explain cbo
+select state, year, sum(population) from census_pop where year in (2010) group by state, year;
+
+drop materialized view mv2;
+
+drop database if exists expr9 cascade;
+create database expr9;
+use expr9;
+create table sales(prod_id int, cust_id int, store_id int, sale_date timestamp, qty int, amt double, descr string);
+insert into sales values
+(11,1,101,'12/24/2013',1000,1234.00,'onedummytwo');
+
+create materialized view mv3 stored as orc as (select prod_id, cust_id, store_id, sale_date, qty, amt, descr from sales where cust_id >= 1 and prod_id < 31);
+-- SAME
+explain cbo
+select * from sales where cust_id >= 1 and prod_id < 31;
+-- BETWEEN AND RANGE
+explain cbo
+select * from sales where cust_id between 1 and 20 and prod_id < 31;
+
+drop materialized view mv3;
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_in_between.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_in_between.q.out
new file mode 100644
index 0000000..de303da
--- /dev/null
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_in_between.q.out
@@ -0,0 +1,285 @@
+PREHOOK: query: drop database if exists expr2 cascade
+PREHOOK: type: DROPDATABASE
+POSTHOOK: query: drop database if exists expr2 cascade
+POSTHOOK: type: DROPDATABASE
+PREHOOK: query: create database expr2
+PREHOOK: type: CREATEDATABASE
+PREHOOK: Output: database:expr2
+POSTHOOK: query: create database expr2
+POSTHOOK: type: CREATEDATABASE
+POSTHOOK: Output: database:expr2
+PREHOOK: query: use expr2
+PREHOOK: type: SWITCHDATABASE
+PREHOOK: Input: database:expr2
+POSTHOOK: query: use expr2
+POSTHOOK: type: SWITCHDATABASE
+POSTHOOK: Input: database:expr2
+PREHOOK: query: create table sales(prod_id int, cust_id int, store_id int, sale_date timestamp, qty int, amt double, descr string)
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:expr2
+PREHOOK: Output: expr2@sales
+POSTHOOK: query: create table sales(prod_id int, cust_id int, store_id int, sale_date timestamp, qty int, amt double, descr string)
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:expr2
+POSTHOOK: Output: expr2@sales
+PREHOOK: query: insert into sales values
+(11,1,101,'12/24/2013',1000,1234.00,'onedummytwo')
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: expr2@sales
+POSTHOOK: query: insert into sales values
+(11,1,101,'12/24/2013',1000,1234.00,'onedummytwo')
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: expr2@sales
+POSTHOOK: Lineage: sales.amt SCRIPT []
+POSTHOOK: Lineage: sales.cust_id SCRIPT []
+POSTHOOK: Lineage: sales.descr SCRIPT []
+POSTHOOK: Lineage: sales.prod_id SCRIPT []
+POSTHOOK: Lineage: sales.qty SCRIPT []
+POSTHOOK: Lineage: sales.sale_date SCRIPT []
+POSTHOOK: Lineage: sales.store_id SCRIPT []
+PREHOOK: query: create materialized view mv1 stored as orc as (select prod_id, cust_id, store_id, sale_date, qty, amt, descr from sales where cust_id in (1,2,3,4,5))
+PREHOOK: type: CREATE_MATERIALIZED_VIEW
+PREHOOK: Input: expr2@sales
+PREHOOK: Output: database:expr2
+PREHOOK: Output: expr2@mv1
+POSTHOOK: query: create materialized view mv1 stored as orc as (select prod_id, cust_id, store_id, sale_date, qty, amt, descr from sales where cust_id in (1,2,3,4,5))
+POSTHOOK: type: CREATE_MATERIALIZED_VIEW
+POSTHOOK: Input: expr2@sales
+POSTHOOK: Output: database:expr2
+POSTHOOK: Output: expr2@mv1
+PREHOOK: query: explain cbo
+select prod_id, cust_id from sales where cust_id in (1,2,3,4,5)
+PREHOOK: type: QUERY
+PREHOOK: Input: expr2@mv1
+PREHOOK: Input: expr2@sales
+#### A masked pattern was here ####
+POSTHOOK: query: explain cbo
+select prod_id, cust_id from sales where cust_id in (1,2,3,4,5)
+POSTHOOK: type: QUERY
+POSTHOOK: Input: expr2@mv1
+POSTHOOK: Input: expr2@sales
+#### A masked pattern was here ####
+CBO PLAN:
+HiveProject(prod_id=[$0], cust_id=[$1])
+ HiveTableScan(table=[[expr2, mv1]], table:alias=[expr2.mv1])
+
+PREHOOK: query: explain cbo
+select prod_id, cust_id from sales where cust_id in (5,1,2,3,4)
+PREHOOK: type: QUERY
+PREHOOK: Input: expr2@mv1
+PREHOOK: Input: expr2@sales
+#### A masked pattern was here ####
+POSTHOOK: query: explain cbo
+select prod_id, cust_id from sales where cust_id in (5,1,2,3,4)
+POSTHOOK: type: QUERY
+POSTHOOK: Input: expr2@mv1
+POSTHOOK: Input: expr2@sales
+#### A masked pattern was here ####
+CBO PLAN:
+HiveProject(prod_id=[$0], cust_id=[$1])
+ HiveTableScan(table=[[expr2, mv1]], table:alias=[expr2.mv1])
+
+PREHOOK: query: drop materialized view mv1
+PREHOOK: type: DROP_MATERIALIZED_VIEW
+PREHOOK: Input: expr2@mv1
+PREHOOK: Output: expr2@mv1
+POSTHOOK: query: drop materialized view mv1
+POSTHOOK: type: DROP_MATERIALIZED_VIEW
+POSTHOOK: Input: expr2@mv1
+POSTHOOK: Output: expr2@mv1
+PREHOOK: query: drop database if exists in_pred cascade
+PREHOOK: type: DROPDATABASE
+POSTHOOK: query: drop database if exists in_pred cascade
+POSTHOOK: type: DROPDATABASE
+PREHOOK: query: create database in_pred
+PREHOOK: type: CREATEDATABASE
+PREHOOK: Output: database:in_pred
+POSTHOOK: query: create database in_pred
+POSTHOOK: type: CREATEDATABASE
+POSTHOOK: Output: database:in_pred
+PREHOOK: query: use in_pred
+PREHOOK: type: SWITCHDATABASE
+PREHOOK: Input: database:in_pred
+POSTHOOK: query: use in_pred
+POSTHOOK: type: SWITCHDATABASE
+POSTHOOK: Input: database:in_pred
+PREHOOK: query: create table census_pop (state string, year int, population bigint)
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:in_pred
+PREHOOK: Output: in_pred@census_pop
+POSTHOOK: query: create table census_pop (state string, year int, population bigint)
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:in_pred
+POSTHOOK: Output: in_pred@census_pop
+PREHOOK: query: insert into census_pop values("AZ", 2010, 200), ("CA", 2011, 100), ("CA", 2010, 200), ("AZ", 2010, 100), ("NY", 2011, 121), ("AZ", 2011, 1000), ("OR", 2015, 1001), ("WA", 2016, 121), ("NJ", 2010, 500), ("NJ", 2010, 5000), ("AZ", 2014, 1004), ("TX", 2010, 1000), ("AZ", 2010, 1000), ("PT", 2017, 1200), ("NM", 2018, 120), ("CA", 2010, 200)
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: in_pred@census_pop
+POSTHOOK: query: insert into census_pop values("AZ", 2010, 200), ("CA", 2011, 100), ("CA", 2010, 200), ("AZ", 2010, 100), ("NY", 2011, 121), ("AZ", 2011, 1000), ("OR", 2015, 1001), ("WA", 2016, 121), ("NJ", 2010, 500), ("NJ", 2010, 5000), ("AZ", 2014, 1004), ("TX", 2010, 1000), ("AZ", 2010, 1000), ("PT", 2017, 1200), ("NM", 2018, 120), ("CA", 2010, 200)
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: in_pred@census_pop
+POSTHOOK: Lineage: census_pop.population SCRIPT []
+POSTHOOK: Lineage: census_pop.state SCRIPT []
+POSTHOOK: Lineage: census_pop.year SCRIPT []
+PREHOOK: query: create materialized view mv2 stored as orc as select state, year, sum(population) from census_pop where year IN (2010, 2018) group by state, year
+PREHOOK: type: CREATE_MATERIALIZED_VIEW
+PREHOOK: Input: in_pred@census_pop
+PREHOOK: Output: database:in_pred
+PREHOOK: Output: in_pred@mv2
+POSTHOOK: query: create materialized view mv2 stored as orc as select state, year, sum(population) from census_pop where year IN (2010, 2018) group by state, year
+POSTHOOK: type: CREATE_MATERIALIZED_VIEW
+POSTHOOK: Input: in_pred@census_pop
+POSTHOOK: Output: database:in_pred
+POSTHOOK: Output: in_pred@mv2
+PREHOOK: query: explain cbo
+select state, year, sum(population) from census_pop where year IN (2010, 2018) group by state, year
+PREHOOK: type: QUERY
+PREHOOK: Input: in_pred@census_pop
+PREHOOK: Input: in_pred@mv2
+#### A masked pattern was here ####
+POSTHOOK: query: explain cbo
+select state, year, sum(population) from census_pop where year IN (2010, 2018) group by state, year
+POSTHOOK: type: QUERY
+POSTHOOK: Input: in_pred@census_pop
+POSTHOOK: Input: in_pred@mv2
+#### A masked pattern was here ####
+CBO PLAN:
+HiveTableScan(table=[[in_pred, mv2]], table:alias=[in_pred.mv2])
+
+PREHOOK: query: explain cbo
+select state, year, sum(population) from census_pop where year = 2010 group by state, year
+PREHOOK: type: QUERY
+PREHOOK: Input: in_pred@census_pop
+PREHOOK: Input: in_pred@mv2
+#### A masked pattern was here ####
+POSTHOOK: query: explain cbo
+select state, year, sum(population) from census_pop where year = 2010 group by state, year
+POSTHOOK: type: QUERY
+POSTHOOK: Input: in_pred@census_pop
+POSTHOOK: Input: in_pred@mv2
+#### A masked pattern was here ####
+CBO PLAN:
+HiveProject(state=[$0], $f1=[CAST(2010):INTEGER], $f10=[$1])
+ HiveAggregate(group=[{0}], agg#0=[sum($2)])
+ HiveFilter(condition=[=(2010, $1)])
+ HiveTableScan(table=[[in_pred, mv2]], table:alias=[in_pred.mv2])
+
+PREHOOK: query: explain cbo
+select state, year, sum(population) from census_pop where year in (2010) group by state, year
+PREHOOK: type: QUERY
+PREHOOK: Input: in_pred@census_pop
+PREHOOK: Input: in_pred@mv2
+#### A masked pattern was here ####
+POSTHOOK: query: explain cbo
+select state, year, sum(population) from census_pop where year in (2010) group by state, year
+POSTHOOK: type: QUERY
+POSTHOOK: Input: in_pred@census_pop
+POSTHOOK: Input: in_pred@mv2
+#### A masked pattern was here ####
+CBO PLAN:
+HiveProject(state=[$0], $f1=[CAST(2010):INTEGER], $f10=[$1])
+ HiveAggregate(group=[{0}], agg#0=[sum($2)])
+ HiveFilter(condition=[=(2010, $1)])
+ HiveTableScan(table=[[in_pred, mv2]], table:alias=[in_pred.mv2])
+
+PREHOOK: query: drop materialized view mv2
+PREHOOK: type: DROP_MATERIALIZED_VIEW
+PREHOOK: Input: in_pred@mv2
+PREHOOK: Output: in_pred@mv2
+POSTHOOK: query: drop materialized view mv2
+POSTHOOK: type: DROP_MATERIALIZED_VIEW
+POSTHOOK: Input: in_pred@mv2
+POSTHOOK: Output: in_pred@mv2
+PREHOOK: query: drop database if exists expr9 cascade
+PREHOOK: type: DROPDATABASE
+POSTHOOK: query: drop database if exists expr9 cascade
+POSTHOOK: type: DROPDATABASE
+PREHOOK: query: create database expr9
+PREHOOK: type: CREATEDATABASE
+PREHOOK: Output: database:expr9
+POSTHOOK: query: create database expr9
+POSTHOOK: type: CREATEDATABASE
+POSTHOOK: Output: database:expr9
+PREHOOK: query: use expr9
+PREHOOK: type: SWITCHDATABASE
+PREHOOK: Input: database:expr9
+POSTHOOK: query: use expr9
+POSTHOOK: type: SWITCHDATABASE
+POSTHOOK: Input: database:expr9
+PREHOOK: query: create table sales(prod_id int, cust_id int, store_id int, sale_date timestamp, qty int, amt double, descr string)
+PREHOOK: type: CREATETABLE
+PREHOOK: Output: database:expr9
+PREHOOK: Output: expr9@sales
+POSTHOOK: query: create table sales(prod_id int, cust_id int, store_id int, sale_date timestamp, qty int, amt double, descr string)
+POSTHOOK: type: CREATETABLE
+POSTHOOK: Output: database:expr9
+POSTHOOK: Output: expr9@sales
+PREHOOK: query: insert into sales values
+(11,1,101,'12/24/2013',1000,1234.00,'onedummytwo')
+PREHOOK: type: QUERY
+PREHOOK: Input: _dummy_database@_dummy_table
+PREHOOK: Output: expr9@sales
+POSTHOOK: query: insert into sales values
+(11,1,101,'12/24/2013',1000,1234.00,'onedummytwo')
+POSTHOOK: type: QUERY
+POSTHOOK: Input: _dummy_database@_dummy_table
+POSTHOOK: Output: expr9@sales
+POSTHOOK: Lineage: sales.amt SCRIPT []
+POSTHOOK: Lineage: sales.cust_id SCRIPT []
+POSTHOOK: Lineage: sales.descr SCRIPT []
+POSTHOOK: Lineage: sales.prod_id SCRIPT []
+POSTHOOK: Lineage: sales.qty SCRIPT []
+POSTHOOK: Lineage: sales.sale_date SCRIPT []
+POSTHOOK: Lineage: sales.store_id SCRIPT []
+PREHOOK: query: create materialized view mv3 stored as orc as (select prod_id, cust_id, store_id, sale_date, qty, amt, descr from sales where cust_id >= 1 and prod_id < 31)
+PREHOOK: type: CREATE_MATERIALIZED_VIEW
+PREHOOK: Input: expr9@sales
+PREHOOK: Output: database:expr9
+PREHOOK: Output: expr9@mv3
+POSTHOOK: query: create materialized view mv3 stored as orc as (select prod_id, cust_id, store_id, sale_date, qty, amt, descr from sales where cust_id >= 1 and prod_id < 31)
+POSTHOOK: type: CREATE_MATERIALIZED_VIEW
+POSTHOOK: Input: expr9@sales
+POSTHOOK: Output: database:expr9
+POSTHOOK: Output: expr9@mv3
+PREHOOK: query: explain cbo
+select * from sales where cust_id >= 1 and prod_id < 31
+PREHOOK: type: QUERY
+PREHOOK: Input: expr9@mv3
+PREHOOK: Input: expr9@sales
+#### A masked pattern was here ####
+POSTHOOK: query: explain cbo
+select * from sales where cust_id >= 1 and prod_id < 31
+POSTHOOK: type: QUERY
+POSTHOOK: Input: expr9@mv3
+POSTHOOK: Input: expr9@sales
+#### A masked pattern was here ####
+CBO PLAN:
+HiveTableScan(table=[[expr9, mv3]], table:alias=[expr9.mv3])
+
+PREHOOK: query: explain cbo
+select * from sales where cust_id between 1 and 20 and prod_id < 31
+PREHOOK: type: QUERY
+PREHOOK: Input: expr9@mv3
+PREHOOK: Input: expr9@sales
+#### A masked pattern was here ####
+POSTHOOK: query: explain cbo
+select * from sales where cust_id between 1 and 20 and prod_id < 31
+POSTHOOK: type: QUERY
+POSTHOOK: Input: expr9@mv3
+POSTHOOK: Input: expr9@sales
+#### A masked pattern was here ####
+CBO PLAN:
+HiveFilter(condition=[>=(20, $1)])
+ HiveTableScan(table=[[expr9, mv3]], table:alias=[expr9.mv3])
+
+PREHOOK: query: drop materialized view mv3
+PREHOOK: type: DROP_MATERIALIZED_VIEW
+PREHOOK: Input: expr9@mv3
+PREHOOK: Output: expr9@mv3
+POSTHOOK: query: drop materialized view mv3
+POSTHOOK: type: DROP_MATERIALIZED_VIEW
+POSTHOOK: Input: expr9@mv3
+POSTHOOK: Output: expr9@mv3
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb.q.out
index 2fd835b..0b996dc 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb.q.out
@@ -646,10 +646,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((lo_quantity < 25.0D) and (d_year = 1993) and lo_discount BETWEEN 1.0D AND 3.0D) (type: boolean)
+ filterExpr: ((lo_quantity < 25.0D) and lo_discount BETWEEN 1.0D AND 3.0D and (d_year = 1993)) (type: boolean)
Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((lo_quantity < 25.0D) and (d_year = 1993) and lo_discount BETWEEN 1.0D AND 3.0D) (type: boolean)
+ predicate: ((lo_quantity < 25.0D) and lo_discount BETWEEN 1.0D AND 3.0D and (d_year = 1993)) (type: boolean)
Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -736,10 +736,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((d_yearmonthnum = 199401) and lo_discount BETWEEN 4.0D AND 6.0D and lo_quantity BETWEEN 26.0D AND 35.0D) (type: boolean)
+ filterExpr: (lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 4.0D AND 6.0D and (d_yearmonthnum = 199401)) (type: boolean)
Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((d_yearmonthnum = 199401) and lo_discount BETWEEN 4.0D AND 6.0D and lo_quantity BETWEEN 26.0D AND 35.0D) (type: boolean)
+ predicate: (lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 4.0D AND 6.0D and (d_yearmonthnum = 199401)) (type: boolean)
Statistics: Num rows: 1 Data size: 28 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -828,10 +828,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((d_year = 1994) and (d_weeknuminyear = 6) and lo_discount BETWEEN 5.0D AND 7.0D and lo_quantity BETWEEN 26.0D AND 35.0D) (type: boolean)
+ filterExpr: (lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 5.0D AND 7.0D and (d_year = 1994) and (d_weeknuminyear = 6)) (type: boolean)
Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((d_year = 1994) and (d_weeknuminyear = 6) and lo_discount BETWEEN 5.0D AND 7.0D and lo_quantity BETWEEN 26.0D AND 35.0D) (type: boolean)
+ predicate: (lo_quantity BETWEEN 26.0D AND 35.0D and lo_discount BETWEEN 5.0D AND 7.0D and (d_year = 1994) and (d_weeknuminyear = 6)) (type: boolean)
Statistics: Num rows: 1 Data size: 32 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -1059,10 +1059,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((s_region = 'ASIA') and p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228') (type: boolean)
+ filterExpr: (p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228' and (s_region = 'ASIA')) (type: boolean)
Statistics: Num rows: 1 Data size: 180 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((s_region = 'ASIA') and p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228') (type: boolean)
+ predicate: (p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228' and (s_region = 'ASIA')) (type: boolean)
Statistics: Num rows: 1 Data size: 180 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: d_year (type: int), p_brand1 (type: string), lo_revenue (type: double)
@@ -1315,10 +1315,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((c_region = 'ASIA') and (s_region = 'ASIA') and d_year BETWEEN 1992 AND 1997) (type: boolean)
+ filterExpr: (d_year BETWEEN 1992 AND 1997 and (c_region = 'ASIA') and (s_region = 'ASIA')) (type: boolean)
Statistics: Num rows: 1 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((c_region = 'ASIA') and (s_region = 'ASIA') and d_year BETWEEN 1992 AND 1997) (type: boolean)
+ predicate: (d_year BETWEEN 1992 AND 1997 and (c_region = 'ASIA') and (s_region = 'ASIA')) (type: boolean)
Statistics: Num rows: 1 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c_nation (type: string), d_year (type: int), s_nation (type: string), lo_revenue (type: double)
@@ -1443,10 +1443,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv_n0
- filterExpr: ((c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES') and d_year BETWEEN 1992 AND 1997) (type: boolean)
+ filterExpr: (d_year BETWEEN 1992 AND 1997 and (c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES')) (type: boolean)
Statistics: Num rows: 1 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES') and d_year BETWEEN 1992 AND 1997) (type: boolean)
+ predicate: (d_year BETWEEN 1992 AND 1997 and (c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES')) (type: boolean)
Statistics: Num rows: 1 Data size: 348 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c_city (type: string), d_year (type: int), s_city (type: string), lo_revenue (type: double)
diff --git a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_2.q.out b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_2.q.out
index 55c5a22..e6f1260 100644
--- a/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_2.q.out
+++ b/ql/src/test/results/clientpositive/llap/materialized_view_rewrite_ssb_2.q.out
@@ -648,10 +648,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((UDFToDouble(lo_quantity) < 25.0D) and (UDFToInteger(d_year) = 1993) and UDFToDouble(lo_discount) BETWEEN 1.0D AND 3.0D) (type: boolean)
+ filterExpr: ((UDFToDouble(lo_quantity) < 25.0D) and UDFToDouble(lo_discount) BETWEEN 1.0D AND 3.0D and (UDFToInteger(d_year) = 1993)) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToDouble(lo_quantity) < 25.0D) and (UDFToInteger(d_year) = 1993) and UDFToDouble(lo_discount) BETWEEN 1.0D AND 3.0D) (type: boolean)
+ predicate: ((UDFToDouble(lo_quantity) < 25.0D) and UDFToDouble(lo_discount) BETWEEN 1.0D AND 3.0D and (UDFToInteger(d_year) = 1993)) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -738,10 +738,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((UDFToInteger(d_yearmonthnum) = 199401) and UDFToDouble(lo_discount) BETWEEN 4.0D AND 6.0D and UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D) (type: boolean)
+ filterExpr: (UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 4.0D AND 6.0D and (UDFToInteger(d_yearmonthnum) = 199401)) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToInteger(d_yearmonthnum) = 199401) and UDFToDouble(lo_discount) BETWEEN 4.0D AND 6.0D and UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D) (type: boolean)
+ predicate: (UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 4.0D AND 6.0D and (UDFToInteger(d_yearmonthnum) = 199401)) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -830,10 +830,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((UDFToInteger(d_year) = 1994) and (UDFToInteger(d_weeknuminyear) = 6) and UDFToDouble(lo_discount) BETWEEN 5.0D AND 7.0D and UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D) (type: boolean)
+ filterExpr: (UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 5.0D AND 7.0D and (UDFToInteger(d_year) = 1994) and (UDFToInteger(d_weeknuminyear) = 6)) (type: boolean)
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((UDFToInteger(d_year) = 1994) and (UDFToInteger(d_weeknuminyear) = 6) and UDFToDouble(lo_discount) BETWEEN 5.0D AND 7.0D and UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D) (type: boolean)
+ predicate: (UDFToDouble(lo_quantity) BETWEEN 26.0D AND 35.0D and UDFToDouble(lo_discount) BETWEEN 5.0D AND 7.0D and (UDFToInteger(d_year) = 1994) and (UDFToInteger(d_weeknuminyear) = 6)) (type: boolean)
Statistics: Num rows: 1 Data size: 344 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: discounted_price (type: double)
@@ -1061,10 +1061,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((s_region = 'ASIA') and p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228') (type: boolean)
+ filterExpr: (p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228' and (s_region = 'ASIA')) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((s_region = 'ASIA') and p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228') (type: boolean)
+ predicate: (p_brand1 BETWEEN 'MFGR#2221' AND 'MFGR#2228' and (s_region = 'ASIA')) (type: boolean)
Statistics: Num rows: 1 Data size: 260 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: UDFToInteger(d_year) (type: int), p_brand1 (type: string), lo_revenue (type: double)
@@ -1317,10 +1317,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((c_region = 'ASIA') and (s_region = 'ASIA') and UDFToInteger(d_year) BETWEEN 1992 AND 1997) (type: boolean)
+ filterExpr: (UDFToInteger(d_year) BETWEEN 1992 AND 1997 and (c_region = 'ASIA') and (s_region = 'ASIA')) (type: boolean)
Statistics: Num rows: 1 Data size: 428 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((c_region = 'ASIA') and (s_region = 'ASIA') and UDFToInteger(d_year) BETWEEN 1992 AND 1997) (type: boolean)
+ predicate: (UDFToInteger(d_year) BETWEEN 1992 AND 1997 and (c_region = 'ASIA') and (s_region = 'ASIA')) (type: boolean)
Statistics: Num rows: 1 Data size: 428 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c_nation (type: string), s_nation (type: string), UDFToInteger(d_year) (type: int), lo_revenue (type: double)
@@ -1445,10 +1445,10 @@ STAGE PLANS:
Map Operator Tree:
TableScan
alias: default.ssb_mv
- filterExpr: ((c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES') and UDFToInteger(d_year) BETWEEN 1992 AND 1997) (type: boolean)
+ filterExpr: (UDFToInteger(d_year) BETWEEN 1992 AND 1997 and (c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES')) (type: boolean)
Statistics: Num rows: 1 Data size: 428 Basic stats: COMPLETE Column stats: COMPLETE
Filter Operator
- predicate: ((c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES') and UDFToInteger(d_year) BETWEEN 1992 AND 1997) (type: boolean)
+ predicate: (UDFToInteger(d_year) BETWEEN 1992 AND 1997 and (c_nation = 'UNITED STATES') and (s_nation = 'UNITED STATES')) (type: boolean)
Statistics: Num rows: 1 Data size: 428 Basic stats: COMPLETE Column stats: COMPLETE
Select Operator
expressions: c_city (type: string), s_city (type: string), UDFToInteger(d_year) (type: int), lo_revenue (type: double)