You are viewing a plain text version of this content. The canonical link for it is here.
Posted to commits@hive.apache.org by jd...@apache.org on 2020/02/18 23:47:21 UTC
[hive] branch master updated: HIVE-22815: reduce the unnecessary
file system object creation in MROutput (Richard Zhang,
reviewed by Gopal Vijayaraghavan)
This is an automated email from the ASF dual-hosted git repository.
jdere 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 a9ea0ef HIVE-22815: reduce the unnecessary file system object creation in MROutput (Richard Zhang, reviewed by Gopal Vijayaraghavan)
a9ea0ef is described below
commit a9ea0ef458c348d0271c955dde93be30d623314d
Author: Richard Zhang <ri...@cloudera.com>
AuthorDate: Tue Feb 18 15:44:50 2020 -0800
HIVE-22815: reduce the unnecessary file system object creation in MROutput (Richard Zhang, reviewed by Gopal Vijayaraghavan)
---
.../apache/hadoop/hive/ql/exec/tez/DagUtils.java | 13 +-
.../hadoop/hive/ql/exec/tez/NullMROutput.java | 68 ++++++
ql/src/test/queries/clientpositive/perf/query41.q | 55 +++++
.../clientpositive/perf/spark/query41.q.out | 252 +++++++++++++++++++++
.../perf/tez/constraints/query41.q.out | 167 ++++++++++++++
.../results/clientpositive/perf/tez/query41.q.out | 167 ++++++++++++++
6 files changed, 719 insertions(+), 3 deletions(-)
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/DagUtils.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/DagUtils.java
index 08eec19..19f6886 100644
--- a/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/DagUtils.java
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/DagUtils.java
@@ -53,6 +53,7 @@ import org.apache.commons.io.FilenameUtils;
import org.apache.commons.lang3.StringUtils;
import org.apache.tez.mapreduce.common.MRInputSplitDistributor;
import org.apache.tez.mapreduce.hadoop.InputSplitInfo;
+import org.apache.tez.mapreduce.output.MROutput;
import org.apache.tez.mapreduce.protos.MRRuntimeProtos;
import org.apache.tez.runtime.library.api.Partitioner;
import org.apache.tez.runtime.library.cartesianproduct.CartesianProductConfig;
@@ -152,7 +153,7 @@ import org.apache.tez.mapreduce.hadoop.MRInputHelpers;
import org.apache.tez.mapreduce.hadoop.MRJobConfig;
import org.apache.tez.mapreduce.input.MRInputLegacy;
import org.apache.tez.mapreduce.input.MultiMRInput;
-import org.apache.tez.mapreduce.output.MROutput;
+import org.apache.hadoop.hive.ql.exec.tez.NullMROutput;
import org.apache.tez.mapreduce.partition.MRPartitioner;
import org.apache.tez.runtime.library.api.TezRuntimeConfiguration;
import org.apache.tez.runtime.library.common.comparator.TezBytesComparator;
@@ -1508,11 +1509,17 @@ public class DagUtils {
}
}
-
+ final Class outputKlass;
+ if (HiveOutputFormatImpl.class.getName().equals(conf.get("mapred.output.format.class"))) {
+ // Hive uses this output format, when it is going to write all its data through FS operator
+ outputKlass = NullMROutput.class;
+ } else {
+ outputKlass = MROutput.class;
+ }
// final vertices need to have at least one output
if (!hasChildren) {
v.addDataSink("out_"+work.getName(), new DataSinkDescriptor(
- OutputDescriptor.create(MROutput.class.getName())
+ OutputDescriptor.create(outputKlass.getName())
.setUserPayload(TezUtils.createUserPayloadFromConf(conf)), null, null));
}
diff --git a/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/NullMROutput.java b/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/NullMROutput.java
new file mode 100644
index 0000000..202b1fa
--- /dev/null
+++ b/ql/src/java/org/apache/hadoop/hive/ql/exec/tez/NullMROutput.java
@@ -0,0 +1,68 @@
+/*
+ * 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.exec.tez;
+
+import org.apache.tez.mapreduce.output.MROutput;
+import org.apache.tez.runtime.api.Event;
+import org.apache.tez.runtime.api.OutputContext;
+import org.apache.tez.runtime.library.api.KeyValueWriter;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.io.IOException;
+import java.util.List;
+
+
+
+public class NullMROutput extends MROutput {
+
+ private static final Logger LOG = LoggerFactory.getLogger(NullMROutput.class);
+
+ public NullMROutput(OutputContext outputContext, int numPhysicalOutputs) {
+ super(outputContext, numPhysicalOutputs);
+ }
+
+ @Override
+ public List<Event> initialize() throws IOException, InterruptedException {
+ List<Event> events = initializeBase();
+ return events;
+ }
+
+ /**
+ * Get a key value write to write Map Reduce compatible output
+ */
+ @Override
+ public KeyValueWriter getWriter() throws IOException {
+ return new KeyValueWriter() {
+ @SuppressWarnings("unchecked")
+ @Override
+ public void write(Object key, Object value) throws IOException {
+ throw new IOException("NullMROutput is not configured for actual rows");
+ }
+ };
+ }
+
+ /**
+ * Call this in the processor before finishing to ensure outputs that
+ * outputs have been flushed. Must be called before commit.
+ * @throws IOException
+ */
+ @Override
+ public void flush() throws IOException {
+ }
+}
diff --git a/ql/src/test/queries/clientpositive/perf/query41.q b/ql/src/test/queries/clientpositive/perf/query41.q
new file mode 100644
index 0000000..b579550
--- /dev/null
+++ b/ql/src/test/queries/clientpositive/perf/query41.q
@@ -0,0 +1,55 @@
+set hive.mapred.mode=nonstrict;
+-- start query 1 in stream 0 using template query41.tpl and seed 1581015815
+explain
+select distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 970 and 970+40
+ and (select count(*) as item_cnt
+ from item
+ where (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'frosted' or i_color = 'rose') and
+ (i_units = 'Lb' or i_units = 'Gross') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'chocolate' or i_color = 'black') and
+ (i_units = 'Box' or i_units = 'Dram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'slate' or i_color = 'magenta') and
+ (i_units = 'Carton' or i_units = 'Bundle') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'cornflower' or i_color = 'firebrick') and
+ (i_units = 'Pound' or i_units = 'Oz') and
+ (i_size = 'medium' or i_size = 'large')
+ ))) or
+ (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'almond' or i_color = 'steel') and
+ (i_units = 'Tsp' or i_units = 'Case') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'purple' or i_color = 'aquamarine') and
+ (i_units = 'Bunch' or i_units = 'Gram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'lavender' or i_color = 'papaya') and
+ (i_units = 'Pallet' or i_units = 'Cup') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'maroon' or i_color = 'cyan') and
+ (i_units = 'Each' or i_units = 'N/A') and
+ (i_size = 'medium' or i_size = 'large')
+ )))) > 0
+ order by i_product_name
+ limit 100;
+
+-- end query 1 in stream 0 using template query41.tpl
+
diff --git a/ql/src/test/results/clientpositive/perf/spark/query41.q.out b/ql/src/test/results/clientpositive/perf/spark/query41.q.out
new file mode 100644
index 0000000..68309d1
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/spark/query41.q.out
@@ -0,0 +1,252 @@
+PREHOOK: query: explain
+select distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 970 and 970+40
+ and (select count(*) as item_cnt
+ from item
+ where (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'frosted' or i_color = 'rose') and
+ (i_units = 'Lb' or i_units = 'Gross') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'chocolate' or i_color = 'black') and
+ (i_units = 'Box' or i_units = 'Dram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'slate' or i_color = 'magenta') and
+ (i_units = 'Carton' or i_units = 'Bundle') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'cornflower' or i_color = 'firebrick') and
+ (i_units = 'Pound' or i_units = 'Oz') and
+ (i_size = 'medium' or i_size = 'large')
+ ))) or
+ (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'almond' or i_color = 'steel') and
+ (i_units = 'Tsp' or i_units = 'Case') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'purple' or i_color = 'aquamarine') and
+ (i_units = 'Bunch' or i_units = 'Gram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'lavender' or i_color = 'papaya') and
+ (i_units = 'Pallet' or i_units = 'Cup') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'maroon' or i_color = 'cyan') and
+ (i_units = 'Each' or i_units = 'N/A') and
+ (i_size = 'medium' or i_size = 'large')
+ )))) > 0
+ order by i_product_name
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@item
+#### A masked pattern was here ####
+POSTHOOK: query: explain
+select distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 970 and 970+40
+ and (select count(*) as item_cnt
+ from item
+ where (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'frosted' or i_color = 'rose') and
+ (i_units = 'Lb' or i_units = 'Gross') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'chocolate' or i_color = 'black') and
+ (i_units = 'Box' or i_units = 'Dram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'slate' or i_color = 'magenta') and
+ (i_units = 'Carton' or i_units = 'Bundle') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'cornflower' or i_color = 'firebrick') and
+ (i_units = 'Pound' or i_units = 'Oz') and
+ (i_size = 'medium' or i_size = 'large')
+ ))) or
+ (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'almond' or i_color = 'steel') and
+ (i_units = 'Tsp' or i_units = 'Case') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'purple' or i_color = 'aquamarine') and
+ (i_units = 'Bunch' or i_units = 'Gram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'lavender' or i_color = 'papaya') and
+ (i_units = 'Pallet' or i_units = 'Cup') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'maroon' or i_color = 'cyan') and
+ (i_units = 'Each' or i_units = 'N/A') and
+ (i_size = 'medium' or i_size = 'large')
+ )))) > 0
+ order by i_product_name
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@item
+#### A masked pattern was here ####
+STAGE DEPENDENCIES:
+ Stage-1 is a root stage
+ Stage-0 depends on stages: Stage-1
+
+STAGE PLANS:
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 7), Reducer 6 (PARTITION-LEVEL SORT, 7)
+ Reducer 3 <- Reducer 2 (GROUP, 6)
+ Reducer 4 <- Reducer 3 (SORT, 1)
+ Reducer 6 <- Map 5 (GROUP, 6)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: i1
+ filterExpr: (i_manufact_id BETWEEN 970 AND 1010 and i_manufact is not null) (type: boolean)
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (i_manufact_id BETWEEN 970 AND 1010 and i_manufact is not null) (type: boolean)
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: i_manufact (type: string), i_product_name (type: string)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string)
+ Execution mode: vectorized
+ Map 5
+ Map Operator Tree:
+ TableScan
+ alias: item
+ filterExpr: (i_manufact is not null and (((i_category = 'Women') and (i_color) IN ('frosted', 'rose') and (i_units) IN ('Lb', 'Gross') and (i_size) IN ('medium', 'large')) or ((i_category = 'Women') and (i_color) IN ('chocolate', 'black') and (i_units) IN ('Box', 'Dram') and (i_size) IN ('economy', 'petite')) or ((i_category = 'Men') and (i_color) IN ('slate', 'magenta') and (i_units) IN ('Carton', 'Bundle') and (i_size) IN ('N/A', 'small')) or ((i_category = 'Men') and [...]
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (i_manufact is not null and (((i_category = 'Women') and (i_color) IN ('frosted', 'rose') and (i_units) IN ('Lb', 'Gross') and (i_size) IN ('medium', 'large')) or ((i_category = 'Women') and (i_color) IN ('chocolate', 'black') and (i_units) IN ('Box', 'Dram') and (i_size) IN ('economy', 'petite')) or ((i_category = 'Men') and (i_color) IN ('slate', 'magenta') and (i_units) IN ('Carton', 'Bundle') and (i_size) IN ('N/A', 'small')) or ((i_category = 'Men') an [...]
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: i_manufact (type: string)
+ outputColumnNames: i_manufact
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: count()
+ keys: i_manufact (type: string)
+ minReductionHashAggr: 0.99
+ mode: hash
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: bigint)
+ Execution mode: vectorized
+ Reducer 2
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col0 (type: string)
+ 1 _col0 (type: string)
+ outputColumnNames: _col1
+ Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ keys: _col1 (type: string)
+ minReductionHashAggr: 0.99
+ mode: hash
+ outputColumnNames: _col0
+ Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 508200 Data size: 729916518 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Reducer 3
+ Execution mode: vectorized
+ Reduce Operator Tree:
+ Group By Operator
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0
+ Statistics: Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Statistics: Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ Reducer 4
+ Execution mode: vectorized
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: string)
+ outputColumnNames: _col0
+ Statistics: Num rows: 254100 Data size: 364958259 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 100
+ Statistics: Num rows: 100 Data size: 143600 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 100 Data size: 143600 Basic stats: COMPLETE Column stats: NONE
+ table:
+ input format: org.apache.hadoop.mapred.SequenceFileInputFormat
+ output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat
+ serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
+ Reducer 6
+ Execution mode: vectorized
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: count(VALUE._col0)
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (_col1 > 0L) (type: boolean)
+ Statistics: Num rows: 77000 Data size: 110593409 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: string)
+ outputColumnNames: _col0
+ Statistics: Num rows: 77000 Data size: 110593409 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ null sort order: z
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 77000 Data size: 110593409 Basic stats: COMPLETE Column stats: NONE
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 100
+ Processor Tree:
+ ListSink
+
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query41.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query41.q.out
new file mode 100644
index 0000000..75b7642
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query41.q.out
@@ -0,0 +1,167 @@
+PREHOOK: query: explain
+select distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 970 and 970+40
+ and (select count(*) as item_cnt
+ from item
+ where (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'frosted' or i_color = 'rose') and
+ (i_units = 'Lb' or i_units = 'Gross') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'chocolate' or i_color = 'black') and
+ (i_units = 'Box' or i_units = 'Dram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'slate' or i_color = 'magenta') and
+ (i_units = 'Carton' or i_units = 'Bundle') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'cornflower' or i_color = 'firebrick') and
+ (i_units = 'Pound' or i_units = 'Oz') and
+ (i_size = 'medium' or i_size = 'large')
+ ))) or
+ (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'almond' or i_color = 'steel') and
+ (i_units = 'Tsp' or i_units = 'Case') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'purple' or i_color = 'aquamarine') and
+ (i_units = 'Bunch' or i_units = 'Gram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'lavender' or i_color = 'papaya') and
+ (i_units = 'Pallet' or i_units = 'Cup') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'maroon' or i_color = 'cyan') and
+ (i_units = 'Each' or i_units = 'N/A') and
+ (i_size = 'medium' or i_size = 'large')
+ )))) > 0
+ order by i_product_name
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@item
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 970 and 970+40
+ and (select count(*) as item_cnt
+ from item
+ where (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'frosted' or i_color = 'rose') and
+ (i_units = 'Lb' or i_units = 'Gross') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'chocolate' or i_color = 'black') and
+ (i_units = 'Box' or i_units = 'Dram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'slate' or i_color = 'magenta') and
+ (i_units = 'Carton' or i_units = 'Bundle') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'cornflower' or i_color = 'firebrick') and
+ (i_units = 'Pound' or i_units = 'Oz') and
+ (i_size = 'medium' or i_size = 'large')
+ ))) or
+ (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'almond' or i_color = 'steel') and
+ (i_units = 'Tsp' or i_units = 'Case') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'purple' or i_color = 'aquamarine') and
+ (i_units = 'Bunch' or i_units = 'Gram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'lavender' or i_color = 'papaya') and
+ (i_units = 'Pallet' or i_units = 'Cup') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'maroon' or i_color = 'cyan') and
+ (i_units = 'Each' or i_units = 'N/A') and
+ (i_size = 'medium' or i_size = 'large')
+ )))) > 0
+ order by i_product_name
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@item
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 6 <- Map 5 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 4 vectorized
+ File Output Operator [FS_59]
+ Limit [LIM_58] (rows=100 width=107)
+ Number of rows:100
+ Select Operator [SEL_57] (rows=376 width=107)
+ Output:["_col0"]
+ <-Reducer 3 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_56]
+ Group By Operator [GBY_55] (rows=376 width=107)
+ Output:["_col0"],keys:KEY._col0
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_16]
+ PartitionCols:_col0
+ Group By Operator [GBY_15] (rows=376 width=107)
+ Output:["_col0"],keys:_col1
+ Top N Key Operator [TNK_30] (rows=752 width=107)
+ keys:_col1,top n:100
+ Merge Join Operator [MERGEJOIN_43] (rows=752 width=107)
+ Conds:RS_46._col0=RS_54._col0(Inner),Output:["_col1"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_46]
+ PartitionCols:_col0
+ Select Operator [SEL_45] (rows=20726 width=202)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_44] (rows=20726 width=205)
+ predicate:(i_manufact_id BETWEEN 970 AND 1010 and i_manufact is not null)
+ TableScan [TS_0] (rows=462000 width=205)
+ default@item,i1,Tbl:COMPLETE,Col:COMPLETE,Output:["i_manufact_id","i_manufact","i_product_name"]
+ <-Reducer 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_54]
+ PartitionCols:_col0
+ Select Operator [SEL_53] (rows=46 width=95)
+ Output:["_col0"]
+ Filter Operator [FIL_52] (rows=46 width=103)
+ predicate:(_col1 > 0L)
+ Group By Operator [GBY_51] (rows=140 width=103)
+ Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
+ <-Map 5 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_50]
+ PartitionCols:_col0
+ Group By Operator [GBY_49] (rows=140 width=103)
+ Output:["_col0","_col1"],aggregations:["count()"],keys:i_manufact
+ Select Operator [SEL_48] (rows=280 width=450)
+ Output:["i_manufact"]
+ Filter Operator [FIL_47] (rows=280 width=450)
+ predicate:((((i_category = 'Women') and (i_color) IN ('frosted', 'rose') and (i_units) IN ('Lb', 'Gross') and (i_size) IN ('medium', 'large')) or ((i_category = 'Women') and (i_color) IN ('chocolate', 'black') and (i_units) IN ('Box', 'Dram') and (i_size) IN ('economy', 'petite')) or ((i_category = 'Men') and (i_color) IN ('slate', 'magenta') and (i_units) IN ('Carton', 'Bundle') and (i_size) IN ('N/A', 'small')) or ((i_category = 'Men') and (i_col [...]
+ TableScan [TS_3] (rows=462000 width=450)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_category","i_manufact","i_size","i_color","i_units"]
+
diff --git a/ql/src/test/results/clientpositive/perf/tez/query41.q.out b/ql/src/test/results/clientpositive/perf/tez/query41.q.out
new file mode 100644
index 0000000..75b7642
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/query41.q.out
@@ -0,0 +1,167 @@
+PREHOOK: query: explain
+select distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 970 and 970+40
+ and (select count(*) as item_cnt
+ from item
+ where (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'frosted' or i_color = 'rose') and
+ (i_units = 'Lb' or i_units = 'Gross') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'chocolate' or i_color = 'black') and
+ (i_units = 'Box' or i_units = 'Dram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'slate' or i_color = 'magenta') and
+ (i_units = 'Carton' or i_units = 'Bundle') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'cornflower' or i_color = 'firebrick') and
+ (i_units = 'Pound' or i_units = 'Oz') and
+ (i_size = 'medium' or i_size = 'large')
+ ))) or
+ (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'almond' or i_color = 'steel') and
+ (i_units = 'Tsp' or i_units = 'Case') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'purple' or i_color = 'aquamarine') and
+ (i_units = 'Bunch' or i_units = 'Gram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'lavender' or i_color = 'papaya') and
+ (i_units = 'Pallet' or i_units = 'Cup') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'maroon' or i_color = 'cyan') and
+ (i_units = 'Each' or i_units = 'N/A') and
+ (i_size = 'medium' or i_size = 'large')
+ )))) > 0
+ order by i_product_name
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@item
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select distinct(i_product_name)
+ from item i1
+ where i_manufact_id between 970 and 970+40
+ and (select count(*) as item_cnt
+ from item
+ where (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'frosted' or i_color = 'rose') and
+ (i_units = 'Lb' or i_units = 'Gross') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'chocolate' or i_color = 'black') and
+ (i_units = 'Box' or i_units = 'Dram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'slate' or i_color = 'magenta') and
+ (i_units = 'Carton' or i_units = 'Bundle') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'cornflower' or i_color = 'firebrick') and
+ (i_units = 'Pound' or i_units = 'Oz') and
+ (i_size = 'medium' or i_size = 'large')
+ ))) or
+ (i_manufact = i1.i_manufact and
+ ((i_category = 'Women' and
+ (i_color = 'almond' or i_color = 'steel') and
+ (i_units = 'Tsp' or i_units = 'Case') and
+ (i_size = 'medium' or i_size = 'large')
+ ) or
+ (i_category = 'Women' and
+ (i_color = 'purple' or i_color = 'aquamarine') and
+ (i_units = 'Bunch' or i_units = 'Gram') and
+ (i_size = 'economy' or i_size = 'petite')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'lavender' or i_color = 'papaya') and
+ (i_units = 'Pallet' or i_units = 'Cup') and
+ (i_size = 'N/A' or i_size = 'small')
+ ) or
+ (i_category = 'Men' and
+ (i_color = 'maroon' or i_color = 'cyan') and
+ (i_units = 'Each' or i_units = 'N/A') and
+ (i_size = 'medium' or i_size = 'large')
+ )))) > 0
+ order by i_product_name
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@item
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 6 <- Map 5 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 4 vectorized
+ File Output Operator [FS_59]
+ Limit [LIM_58] (rows=100 width=107)
+ Number of rows:100
+ Select Operator [SEL_57] (rows=376 width=107)
+ Output:["_col0"]
+ <-Reducer 3 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_56]
+ Group By Operator [GBY_55] (rows=376 width=107)
+ Output:["_col0"],keys:KEY._col0
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_16]
+ PartitionCols:_col0
+ Group By Operator [GBY_15] (rows=376 width=107)
+ Output:["_col0"],keys:_col1
+ Top N Key Operator [TNK_30] (rows=752 width=107)
+ keys:_col1,top n:100
+ Merge Join Operator [MERGEJOIN_43] (rows=752 width=107)
+ Conds:RS_46._col0=RS_54._col0(Inner),Output:["_col1"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_46]
+ PartitionCols:_col0
+ Select Operator [SEL_45] (rows=20726 width=202)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_44] (rows=20726 width=205)
+ predicate:(i_manufact_id BETWEEN 970 AND 1010 and i_manufact is not null)
+ TableScan [TS_0] (rows=462000 width=205)
+ default@item,i1,Tbl:COMPLETE,Col:COMPLETE,Output:["i_manufact_id","i_manufact","i_product_name"]
+ <-Reducer 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_54]
+ PartitionCols:_col0
+ Select Operator [SEL_53] (rows=46 width=95)
+ Output:["_col0"]
+ Filter Operator [FIL_52] (rows=46 width=103)
+ predicate:(_col1 > 0L)
+ Group By Operator [GBY_51] (rows=140 width=103)
+ Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
+ <-Map 5 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_50]
+ PartitionCols:_col0
+ Group By Operator [GBY_49] (rows=140 width=103)
+ Output:["_col0","_col1"],aggregations:["count()"],keys:i_manufact
+ Select Operator [SEL_48] (rows=280 width=450)
+ Output:["i_manufact"]
+ Filter Operator [FIL_47] (rows=280 width=450)
+ predicate:((((i_category = 'Women') and (i_color) IN ('frosted', 'rose') and (i_units) IN ('Lb', 'Gross') and (i_size) IN ('medium', 'large')) or ((i_category = 'Women') and (i_color) IN ('chocolate', 'black') and (i_units) IN ('Box', 'Dram') and (i_size) IN ('economy', 'petite')) or ((i_category = 'Men') and (i_color) IN ('slate', 'magenta') and (i_units) IN ('Carton', 'Bundle') and (i_size) IN ('N/A', 'small')) or ((i_category = 'Men') and (i_col [...]
+ TableScan [TS_3] (rows=462000 width=450)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_category","i_manufact","i_size","i_color","i_units"]
+