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Posted to commits@hive.apache.org by se...@apache.org on 2018/10/26 21:11:14 UTC
[04/75] [abbrv] [partial] hive git commit: HIVE-20718: Add perf cli
driver with constraints (Jesus Camacho Rodriguez,
reviewed by Ashutosh Chauhan)
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query81.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query81.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query81.q.out
new file mode 100644
index 0000000..bcfe19e
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query81.q.out
@@ -0,0 +1,220 @@
+PREHOOK: query: explain
+with customer_total_return as
+ (select cr_returning_customer_sk as ctr_customer_sk
+ ,ca_state as ctr_state,
+ sum(cr_return_amt_inc_tax) as ctr_total_return
+ from catalog_returns
+ ,date_dim
+ ,customer_address
+ where cr_returned_date_sk = d_date_sk
+ and d_year =1998
+ and cr_returning_addr_sk = ca_address_sk
+ group by cr_returning_customer_sk
+ ,ca_state )
+ select c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+ ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+ ,ca_location_type,ctr_total_return
+ from customer_total_return ctr1
+ ,customer_address
+ ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ from customer_total_return ctr2
+ where ctr1.ctr_state = ctr2.ctr_state)
+ and ca_address_sk = c_current_addr_sk
+ and ca_state = 'IL'
+ and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+ ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+ ,ca_location_type,ctr_total_return
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@catalog_returns
+PREHOOK: Input: default@customer
+PREHOOK: Input: default@customer_address
+PREHOOK: Input: default@date_dim
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+with customer_total_return as
+ (select cr_returning_customer_sk as ctr_customer_sk
+ ,ca_state as ctr_state,
+ sum(cr_return_amt_inc_tax) as ctr_total_return
+ from catalog_returns
+ ,date_dim
+ ,customer_address
+ where cr_returned_date_sk = d_date_sk
+ and d_year =1998
+ and cr_returning_addr_sk = ca_address_sk
+ group by cr_returning_customer_sk
+ ,ca_state )
+ select c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+ ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+ ,ca_location_type,ctr_total_return
+ from customer_total_return ctr1
+ ,customer_address
+ ,customer
+ where ctr1.ctr_total_return > (select avg(ctr_total_return)*1.2
+ from customer_total_return ctr2
+ where ctr1.ctr_state = ctr2.ctr_state)
+ and ca_address_sk = c_current_addr_sk
+ and ca_state = 'IL'
+ and ctr1.ctr_customer_sk = c_customer_sk
+ order by c_customer_id,c_salutation,c_first_name,c_last_name,ca_street_number,ca_street_name
+ ,ca_street_type,ca_suite_number,ca_city,ca_county,ca_state,ca_zip,ca_country,ca_gmt_offset
+ ,ca_location_type,ctr_total_return
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@catalog_returns
+POSTHOOK: Input: default@customer
+POSTHOOK: Input: default@customer_address
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Reducer 13 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
+Reducer 11 <- Map 14 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE)
+Reducer 12 <- Map 15 (SIMPLE_EDGE), Reducer 11 (SIMPLE_EDGE)
+Reducer 13 <- Reducer 12 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 10 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 7 <- Map 14 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE)
+Reducer 8 <- Map 15 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE)
+Reducer 9 <- Reducer 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:-1
+ Stage-1
+ Reducer 4 vectorized
+ File Output Operator [FS_210]
+ Select Operator [SEL_209] (rows=100 width=1506)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15"]
+ Limit [LIM_208] (rows=100 width=1420)
+ Number of rows:100
+ Select Operator [SEL_207] (rows=1577696 width=1418)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_63]
+ Select Operator [SEL_62] (rows=1577696 width=1418)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14"]
+ Merge Join Operator [MERGEJOIN_178] (rows=1577696 width=1418)
+ Conds:RS_59._col0=RS_60._col0(Inner),Output:["_col1","_col3","_col4","_col5","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16","_col19"]
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_60]
+ PartitionCols:_col0
+ Select Operator [SEL_55] (rows=1609248 width=227)
+ Output:["_col0","_col2"]
+ Filter Operator [FIL_54] (rows=1609248 width=227)
+ predicate:(_col2 > _col3)
+ Merge Join Operator [MERGEJOIN_177] (rows=4827746 width=227)
+ Conds:RS_201._col1=RS_206._col1(Inner),Output:["_col0","_col2","_col3"]
+ <-Reducer 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_206]
+ PartitionCols:_col1
+ Select Operator [SEL_205] (rows=12 width=198)
+ Output:["_col0","_col1"]
+ Group By Operator [GBY_204] (rows=12 width=206)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col2)","count(_col2)"],keys:_col0
+ Select Operator [SEL_203] (rows=5266632 width=201)
+ Output:["_col0","_col2"]
+ Group By Operator [GBY_202] (rows=5266632 width=201)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_43]
+ PartitionCols:_col0
+ Group By Operator [GBY_42] (rows=8749496 width=201)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col6, _col1
+ Merge Join Operator [MERGEJOIN_176] (rows=8749496 width=194)
+ Conds:RS_38._col2=RS_198._col0(Inner),Output:["_col1","_col3","_col6"]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_198]
+ PartitionCols:_col0
+ Select Operator [SEL_196] (rows=40000000 width=90)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_195] (rows=40000000 width=90)
+ predicate:ca_state is not null
+ TableScan [TS_12] (rows=40000000 width=90)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_38]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_175] (rows=8749496 width=112)
+ Conds:RS_190._col0=RS_194._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_194]
+ PartitionCols:_col0
+ Select Operator [SEL_192] (rows=652 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_191] (rows=652 width=8)
+ predicate:(d_year = 1998)
+ TableScan [TS_9] (rows=73049 width=8)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_190]
+ PartitionCols:_col0
+ Select Operator [SEL_188] (rows=28221532 width=121)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_186] (rows=28221532 width=121)
+ predicate:(cr_returned_date_sk is not null and cr_returning_addr_sk is not null)
+ TableScan [TS_6] (rows=28798881 width=121)
+ default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["cr_returned_date_sk","cr_returning_customer_sk","cr_returning_addr_sk","cr_return_amt_inc_tax"]
+ <-Reducer 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_201]
+ PartitionCols:_col1
+ Select Operator [SEL_200] (rows=4827746 width=201)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_199] (rows=4827746 width=201)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_23]
+ PartitionCols:_col0, _col1
+ Group By Operator [GBY_22] (rows=8574602 width=201)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(_col3)"],keys:_col6, _col1
+ Merge Join Operator [MERGEJOIN_174] (rows=8574602 width=194)
+ Conds:RS_18._col2=RS_197._col0(Inner),Output:["_col1","_col3","_col6"]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_197]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_196]
+ <-Reducer 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_18]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_173] (rows=8574602 width=112)
+ Conds:RS_189._col0=RS_193._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_193]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_192]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_189]
+ PartitionCols:_col0
+ Select Operator [SEL_187] (rows=27657410 width=121)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_185] (rows=27657410 width=121)
+ predicate:(cr_returned_date_sk is not null and cr_returning_addr_sk is not null and cr_returning_customer_sk is not null)
+ Please refer to the previous TableScan [TS_6]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_59]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_172] (rows=1568628 width=1310)
+ Conds:RS_181._col2=RS_184._col0(Inner),Output:["_col0","_col1","_col3","_col4","_col5","_col7","_col8","_col9","_col10","_col11","_col12","_col13","_col14","_col15","_col16"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_181]
+ PartitionCols:_col2
+ Select Operator [SEL_180] (rows=80000000 width=375)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ Filter Operator [FIL_179] (rows=80000000 width=375)
+ predicate:c_current_addr_sk is not null
+ TableScan [TS_0] (rows=80000000 width=375)
+ default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_customer_id","c_current_addr_sk","c_salutation","c_first_name","c_last_name"]
+ <-Map 5 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_184]
+ PartitionCols:_col0
+ Select Operator [SEL_183] (rows=784314 width=941)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9","_col10"]
+ Filter Operator [FIL_182] (rows=784314 width=1027)
+ predicate:(ca_state = 'IL')
+ TableScan [TS_3] (rows=40000000 width=1027)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_street_number","ca_street_name","ca_street_type","ca_suite_number","ca_city","ca_county","ca_state","ca_zip","ca_country","ca_gmt_offset","ca_location_type"]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query82.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query82.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query82.q.out
new file mode 100644
index 0000000..1344b94
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query82.q.out
@@ -0,0 +1,146 @@
+PREHOOK: query: explain
+select i_item_id
+ ,i_item_desc
+ ,i_current_price
+ from item, inventory, date_dim, store_sales
+ where i_current_price between 30 and 30+30
+ and inv_item_sk = i_item_sk
+ and d_date_sk=inv_date_sk
+ and d_date between cast('2002-05-30' as date) and (cast('2002-05-30' as date) + 60 days)
+ and i_manufact_id in (437,129,727,663)
+ and inv_quantity_on_hand between 100 and 500
+ and ss_item_sk = i_item_sk
+ group by i_item_id,i_item_desc,i_current_price
+ order by i_item_id
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@inventory
+PREHOOK: Input: default@item
+PREHOOK: Input: default@store_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select i_item_id
+ ,i_item_desc
+ ,i_current_price
+ from item, inventory, date_dim, store_sales
+ where i_current_price between 30 and 30+30
+ and inv_item_sk = i_item_sk
+ and d_date_sk=inv_date_sk
+ and d_date between cast('2002-05-30' as date) and (cast('2002-05-30' as date) + 60 days)
+ and i_manufact_id in (437,129,727,663)
+ and inv_quantity_on_hand between 100 and 500
+ and ss_item_sk = i_item_sk
+ group by i_item_id,i_item_desc,i_current_price
+ order by i_item_id
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@inventory
+POSTHOOK: Input: default@item
+POSTHOOK: Input: default@store_sales
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Map 1 <- Reducer 10 (BROADCAST_EDGE), Reducer 7 (BROADCAST_EDGE)
+Reducer 10 <- Reducer 9 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 6 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (ONE_TO_ONE_EDGE), Reducer 9 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+Reducer 7 <- Map 6 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Map 11 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 5 vectorized
+ File Output Operator [FS_102]
+ Limit [LIM_101] (rows=1 width=396)
+ Number of rows:100
+ Select Operator [SEL_100] (rows=1 width=396)
+ Output:["_col0","_col1","_col2"]
+ <-Reducer 4 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_99]
+ Group By Operator [GBY_98] (rows=1 width=396)
+ Output:["_col0","_col1","_col2"],keys:KEY._col0, KEY._col1, KEY._col2
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_23]
+ PartitionCols:_col0, _col1, _col2
+ Group By Operator [GBY_22] (rows=2 width=396)
+ Output:["_col0","_col1","_col2"],keys:_col2, _col3, _col4
+ Top N Key Operator [TNK_42] (rows=2871 width=396)
+ keys:_col2, _col3, _col4,sort order:+++,top n:100
+ Merge Join Operator [MERGEJOIN_78] (rows=2871 width=396)
+ Conds:RS_18._col1=RS_19._col1(Inner),Output:["_col2","_col3","_col4"]
+ <-Reducer 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_19]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_77] (rows=463969 width=4)
+ Conds:RS_89._col0=RS_92._col0(Inner),Output:["_col1"]
+ <-Map 11 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_92]
+ PartitionCols:_col0
+ Select Operator [SEL_91] (rows=8116 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_90] (rows=8116 width=98)
+ predicate:CAST( d_date AS TIMESTAMP) BETWEEN TIMESTAMP'2002-05-30 00:00:00' AND TIMESTAMP'2002-07-29 00:00:00'
+ TableScan [TS_8] (rows=73049 width=98)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_date"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_89]
+ PartitionCols:_col0
+ Select Operator [SEL_88] (rows=4176000 width=8)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_87] (rows=4176000 width=11)
+ predicate:inv_quantity_on_hand BETWEEN 100 AND 500
+ TableScan [TS_5] (rows=37584000 width=11)
+ default@inventory,inventory,Tbl:COMPLETE,Col:COMPLETE,Output:["inv_date_sk","inv_item_sk","inv_quantity_on_hand"]
+ <-Reducer 2 [ONE_TO_ONE_EDGE]
+ FORWARD [RS_18]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_76] (rows=3564040 width=400)
+ Conds:RS_97._col0=RS_81._col0(Inner),Output:["_col1","_col2","_col3","_col4"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_81]
+ PartitionCols:_col0
+ Select Operator [SEL_80] (rows=297 width=400)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_79] (rows=297 width=404)
+ predicate:((i_manufact_id) IN (437, 129, 727, 663) and i_current_price BETWEEN 30 AND 60)
+ TableScan [TS_2] (rows=462000 width=403)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id","i_item_desc","i_current_price","i_manufact_id"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_97]
+ PartitionCols:_col0
+ Select Operator [SEL_96] (rows=575995635 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_95] (rows=575995635 width=4)
+ predicate:((ss_item_sk BETWEEN DynamicValue(RS_16_item_i_item_sk_min) AND DynamicValue(RS_16_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_16_item_i_item_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_19_inventory_inv_item_sk_min) AND DynamicValue(RS_19_inventory_inv_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_19_inventory_inv_item_sk_bloom_filter))))
+ TableScan [TS_0] (rows=575995635 width=4)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_item_sk"]
+ <-Reducer 10 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_94]
+ Group By Operator [GBY_93] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 9 [CUSTOM_SIMPLE_EDGE]
+ SHUFFLE [RS_50]
+ Group By Operator [GBY_49] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_48] (rows=463969 width=8)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_77]
+ <-Reducer 7 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_86]
+ Group By Operator [GBY_85] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 6 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_84]
+ Group By Operator [GBY_83] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_82] (rows=297 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_80]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query83.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query83.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query83.q.out
new file mode 100644
index 0000000..4c9fc68
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query83.q.out
@@ -0,0 +1,338 @@
+PREHOOK: query: explain
+with sr_items as
+ (select i_item_id item_id,
+ sum(sr_return_quantity) sr_item_qty
+ from store_returns,
+ item,
+ date_dim
+ where sr_item_sk = i_item_sk
+ and d_date in
+ (select d_date
+ from date_dim
+ where d_week_seq in
+ (select d_week_seq
+ from date_dim
+ where d_date in ('1998-01-02','1998-10-15','1998-11-10')))
+ and sr_returned_date_sk = d_date_sk
+ group by i_item_id),
+ cr_items as
+ (select i_item_id item_id,
+ sum(cr_return_quantity) cr_item_qty
+ from catalog_returns,
+ item,
+ date_dim
+ where cr_item_sk = i_item_sk
+ and d_date in
+ (select d_date
+ from date_dim
+ where d_week_seq in
+ (select d_week_seq
+ from date_dim
+ where d_date in ('1998-01-02','1998-10-15','1998-11-10')))
+ and cr_returned_date_sk = d_date_sk
+ group by i_item_id),
+ wr_items as
+ (select i_item_id item_id,
+ sum(wr_return_quantity) wr_item_qty
+ from web_returns,
+ item,
+ date_dim
+ where wr_item_sk = i_item_sk
+ and d_date in
+ (select d_date
+ from date_dim
+ where d_week_seq in
+ (select d_week_seq
+ from date_dim
+ where d_date in ('1998-01-02','1998-10-15','1998-11-10')))
+ and wr_returned_date_sk = d_date_sk
+ group by i_item_id)
+ select sr_items.item_id
+ ,sr_item_qty
+ ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev
+ ,cr_item_qty
+ ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev
+ ,wr_item_qty
+ ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev
+ ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average
+ from sr_items
+ ,cr_items
+ ,wr_items
+ where sr_items.item_id=cr_items.item_id
+ and sr_items.item_id=wr_items.item_id
+ order by sr_items.item_id
+ ,sr_item_qty
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@catalog_returns
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@item
+PREHOOK: Input: default@store_returns
+PREHOOK: Input: default@web_returns
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+with sr_items as
+ (select i_item_id item_id,
+ sum(sr_return_quantity) sr_item_qty
+ from store_returns,
+ item,
+ date_dim
+ where sr_item_sk = i_item_sk
+ and d_date in
+ (select d_date
+ from date_dim
+ where d_week_seq in
+ (select d_week_seq
+ from date_dim
+ where d_date in ('1998-01-02','1998-10-15','1998-11-10')))
+ and sr_returned_date_sk = d_date_sk
+ group by i_item_id),
+ cr_items as
+ (select i_item_id item_id,
+ sum(cr_return_quantity) cr_item_qty
+ from catalog_returns,
+ item,
+ date_dim
+ where cr_item_sk = i_item_sk
+ and d_date in
+ (select d_date
+ from date_dim
+ where d_week_seq in
+ (select d_week_seq
+ from date_dim
+ where d_date in ('1998-01-02','1998-10-15','1998-11-10')))
+ and cr_returned_date_sk = d_date_sk
+ group by i_item_id),
+ wr_items as
+ (select i_item_id item_id,
+ sum(wr_return_quantity) wr_item_qty
+ from web_returns,
+ item,
+ date_dim
+ where wr_item_sk = i_item_sk
+ and d_date in
+ (select d_date
+ from date_dim
+ where d_week_seq in
+ (select d_week_seq
+ from date_dim
+ where d_date in ('1998-01-02','1998-10-15','1998-11-10')))
+ and wr_returned_date_sk = d_date_sk
+ group by i_item_id)
+ select sr_items.item_id
+ ,sr_item_qty
+ ,sr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 sr_dev
+ ,cr_item_qty
+ ,cr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 cr_dev
+ ,wr_item_qty
+ ,wr_item_qty/(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 * 100 wr_dev
+ ,(sr_item_qty+cr_item_qty+wr_item_qty)/3.0 average
+ from sr_items
+ ,cr_items
+ ,wr_items
+ where sr_items.item_id=cr_items.item_id
+ and sr_items.item_id=wr_items.item_id
+ order by sr_items.item_id
+ ,sr_item_qty
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@catalog_returns
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@item
+POSTHOOK: Input: default@store_returns
+POSTHOOK: Input: default@web_returns
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Reducer 16 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
+Reducer 11 <- Reducer 10 (SIMPLE_EDGE)
+Reducer 12 <- Map 22 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Reducer 16 (SIMPLE_EDGE)
+Reducer 14 <- Reducer 13 (SIMPLE_EDGE)
+Reducer 16 <- Map 15 (SIMPLE_EDGE), Reducer 19 (ONE_TO_ONE_EDGE)
+Reducer 18 <- Map 17 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE)
+Reducer 19 <- Reducer 18 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 16 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 11 (ONE_TO_ONE_EDGE), Reducer 4 (ONE_TO_ONE_EDGE)
+Reducer 6 <- Reducer 14 (ONE_TO_ONE_EDGE), Reducer 5 (ONE_TO_ONE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 9 <- Map 21 (SIMPLE_EDGE), Map 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 7 vectorized
+ File Output Operator [FS_397]
+ Limit [LIM_396] (rows=100 width=260)
+ Number of rows:100
+ Select Operator [SEL_395] (rows=130021 width=260)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ <-Reducer 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_124]
+ Select Operator [SEL_123] (rows=130021 width=260)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ Merge Join Operator [MERGEJOIN_360] (rows=130021 width=148)
+ Conds:RS_120._col0=RS_394._col0(Inner),Output:["_col0","_col1","_col2","_col4","_col5","_col7","_col8"]
+ <-Reducer 14 [ONE_TO_ONE_EDGE] vectorized
+ FORWARD [RS_394]
+ PartitionCols:_col0
+ Select Operator [SEL_393] (rows=130021 width=116)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_392] (rows=130021 width=108)
+ Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 13 [SIMPLE_EDGE]
+ SHUFFLE [RS_114]
+ PartitionCols:_col0
+ Group By Operator [GBY_113] (rows=390063 width=108)
+ Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4
+ Merge Join Operator [MERGEJOIN_358] (rows=5752600 width=103)
+ Conds:RS_109._col0=RS_110._col0(Inner),Output:["_col2","_col4"]
+ <-Reducer 16 [SIMPLE_EDGE]
+ SHUFFLE [RS_110]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_349] (rows=5070 width=4)
+ Conds:RS_370._col1=RS_379._col0(Inner),Output:["_col0"]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_370]
+ PartitionCols:_col1
+ Select Operator [SEL_369] (rows=73049 width=98)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_368] (rows=73049 width=98)
+ predicate:d_date is not null
+ TableScan [TS_5] (rows=73049 width=98)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_date"]
+ <-Reducer 19 [ONE_TO_ONE_EDGE] vectorized
+ FORWARD [RS_379]
+ PartitionCols:_col0
+ Group By Operator [GBY_378] (rows=5070 width=94)
+ Output:["_col0"],keys:KEY._col0
+ <-Reducer 18 [SIMPLE_EDGE]
+ SHUFFLE [RS_21]
+ PartitionCols:_col0
+ Group By Operator [GBY_20] (rows=5070 width=94)
+ Output:["_col0"],keys:_col0
+ Merge Join Operator [MERGEJOIN_348] (rows=10141 width=94)
+ Conds:RS_373._col1=RS_377._col0(Left Semi),Output:["_col0"]
+ <-Map 17 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_373]
+ PartitionCols:_col1
+ Select Operator [SEL_372] (rows=73049 width=98)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_371] (rows=73049 width=98)
+ predicate:(d_date is not null and d_week_seq is not null)
+ TableScan [TS_8] (rows=73049 width=98)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date","d_week_seq"]
+ <-Map 20 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_377]
+ PartitionCols:_col0
+ Group By Operator [GBY_376] (rows=1826 width=4)
+ Output:["_col0"],keys:_col0
+ Select Operator [SEL_375] (rows=3652 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_374] (rows=3652 width=98)
+ predicate:((d_date) IN ('1998-01-02', '1998-10-15', '1998-11-10') and d_week_seq is not null)
+ TableScan [TS_11] (rows=73049 width=98)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date","d_week_seq"]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_109]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_353] (rows=13749816 width=107)
+ Conds:RS_391._col1=RS_367._col0(Inner),Output:["_col0","_col2","_col4"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_367]
+ PartitionCols:_col0
+ Select Operator [SEL_364] (rows=462000 width=104)
+ Output:["_col0","_col1"]
+ TableScan [TS_3] (rows=462000 width=104)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"]
+ <-Map 22 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_391]
+ PartitionCols:_col1
+ Select Operator [SEL_390] (rows=13749816 width=11)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_389] (rows=13749816 width=11)
+ predicate:wr_returned_date_sk is not null
+ TableScan [TS_78] (rows=14398467 width=11)
+ default@web_returns,web_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["wr_returned_date_sk","wr_item_sk","wr_return_quantity"]
+ <-Reducer 5 [ONE_TO_ONE_EDGE]
+ FORWARD [RS_120]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_359] (rows=134905 width=132)
+ Conds:RS_382._col0=RS_388._col0(Inner),Output:["_col0","_col1","_col2","_col4","_col5"]
+ <-Reducer 11 [ONE_TO_ONE_EDGE] vectorized
+ FORWARD [RS_388]
+ PartitionCols:_col0
+ Select Operator [SEL_387] (rows=141711 width=116)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_386] (rows=141711 width=108)
+ Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_75]
+ PartitionCols:_col0
+ Group By Operator [GBY_74] (rows=462000 width=108)
+ Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4
+ Merge Join Operator [MERGEJOIN_357] (rows=25343167 width=103)
+ Conds:RS_70._col0=RS_71._col0(Inner),Output:["_col2","_col4"]
+ <-Reducer 16 [SIMPLE_EDGE]
+ SHUFFLE [RS_71]
+ PartitionCols:_col0
+ Please refer to the previous Merge Join Operator [MERGEJOIN_349]
+ <-Reducer 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_70]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_350] (rows=55578005 width=107)
+ Conds:RS_385._col1=RS_366._col0(Inner),Output:["_col0","_col2","_col4"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_366]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_364]
+ <-Map 21 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_385]
+ PartitionCols:_col1
+ Select Operator [SEL_384] (rows=55578005 width=11)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_383] (rows=55578005 width=11)
+ predicate:sr_returned_date_sk is not null
+ TableScan [TS_39] (rows=57591150 width=11)
+ default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_returned_date_sk","sr_item_sk","sr_return_quantity"]
+ <-Reducer 4 [ONE_TO_ONE_EDGE] vectorized
+ FORWARD [RS_382]
+ PartitionCols:_col0
+ Select Operator [SEL_381] (rows=134905 width=116)
+ Output:["_col0","_col1","_col2"]
+ Group By Operator [GBY_380] (rows=134905 width=108)
+ Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_36]
+ PartitionCols:_col0
+ Group By Operator [GBY_35] (rows=462000 width=108)
+ Output:["_col0","_col1"],aggregations:["sum(_col2)"],keys:_col4
+ Merge Join Operator [MERGEJOIN_356] (rows=12501392 width=103)
+ Conds:RS_31._col0=RS_32._col0(Inner),Output:["_col2","_col4"]
+ <-Reducer 16 [SIMPLE_EDGE]
+ SHUFFLE [RS_32]
+ PartitionCols:_col0
+ Please refer to the previous Merge Join Operator [MERGEJOIN_349]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_31]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_347] (rows=28798881 width=107)
+ Conds:RS_363._col1=RS_365._col0(Inner),Output:["_col0","_col2","_col4"]
+ <-Map 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_365]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_364]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_363]
+ PartitionCols:_col1
+ Select Operator [SEL_362] (rows=28798881 width=11)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_361] (rows=28798881 width=11)
+ predicate:cr_returned_date_sk is not null
+ TableScan [TS_0] (rows=28798881 width=11)
+ default@catalog_returns,catalog_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["cr_returned_date_sk","cr_item_sk","cr_return_quantity"]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query84.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query84.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query84.q.out
new file mode 100644
index 0000000..8feac3e
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query84.q.out
@@ -0,0 +1,153 @@
+PREHOOK: query: explain
+select c_customer_id as customer_id
+ ,c_last_name || ', ' || c_first_name as customername
+ from customer
+ ,customer_address
+ ,customer_demographics
+ ,household_demographics
+ ,income_band
+ ,store_returns
+ where ca_city = 'Hopewell'
+ and c_current_addr_sk = ca_address_sk
+ and ib_lower_bound >= 32287
+ and ib_upper_bound <= 32287 + 50000
+ and ib_income_band_sk = hd_income_band_sk
+ and cd_demo_sk = c_current_cdemo_sk
+ and hd_demo_sk = c_current_hdemo_sk
+ and sr_cdemo_sk = cd_demo_sk
+ order by c_customer_id
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@customer
+PREHOOK: Input: default@customer_address
+PREHOOK: Input: default@customer_demographics
+PREHOOK: Input: default@household_demographics
+PREHOOK: Input: default@income_band
+PREHOOK: Input: default@store_returns
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select c_customer_id as customer_id
+ ,c_last_name || ', ' || c_first_name as customername
+ from customer
+ ,customer_address
+ ,customer_demographics
+ ,household_demographics
+ ,income_band
+ ,store_returns
+ where ca_city = 'Hopewell'
+ and c_current_addr_sk = ca_address_sk
+ and ib_lower_bound >= 32287
+ and ib_upper_bound <= 32287 + 50000
+ and ib_income_band_sk = hd_income_band_sk
+ and cd_demo_sk = c_current_cdemo_sk
+ and hd_demo_sk = c_current_hdemo_sk
+ and sr_cdemo_sk = cd_demo_sk
+ order by c_customer_id
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@customer
+POSTHOOK: Input: default@customer_address
+POSTHOOK: Input: default@customer_demographics
+POSTHOOK: Input: default@household_demographics
+POSTHOOK: Input: default@income_band
+POSTHOOK: Input: default@store_returns
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 11 <- Map 10 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 5 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (ONE_TO_ONE_EDGE), Reducer 8 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 7 <- Map 6 (SIMPLE_EDGE), Map 9 (SIMPLE_EDGE)
+Reducer 8 <- Reducer 11 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:-1
+ Stage-1
+ Reducer 4 vectorized
+ File Output Operator [FS_139]
+ Limit [LIM_138] (rows=100 width=384)
+ Number of rows:100
+ Select Operator [SEL_137] (rows=255285 width=384)
+ Output:["_col0","_col1"]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_35]
+ Select Operator [SEL_34] (rows=255285 width=384)
+ Output:["_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_119] (rows=255285 width=284)
+ Conds:RS_31._col1=RS_32._col1(Inner),Output:["_col2","_col6"]
+ <-Reducer 2 [ONE_TO_ONE_EDGE]
+ FORWARD [RS_31]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_115] (rows=56363634 width=4)
+ Conds:RS_122._col0=RS_124._col0(Inner),Output:["_col1"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_122]
+ PartitionCols:_col0
+ Select Operator [SEL_121] (rows=55577698 width=3)
+ Output:["_col0"]
+ Filter Operator [FIL_120] (rows=55577698 width=3)
+ predicate:sr_cdemo_sk is not null
+ TableScan [TS_0] (rows=57591150 width=3)
+ default@store_returns,store_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["sr_cdemo_sk"]
+ <-Map 5 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_124]
+ PartitionCols:_col0
+ Select Operator [SEL_123] (rows=1861800 width=4)
+ Output:["_col0"]
+ TableScan [TS_3] (rows=1861800 width=4)
+ default@customer_demographics,customer_demographics,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk"]
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_32]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_118] (rows=8315 width=284)
+ Conds:RS_24._col2=RS_25._col0(Inner),Output:["_col0","_col1","_col4"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_25]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_117] (rows=721 width=4)
+ Conds:RS_133._col1=RS_136._col0(Inner),Output:["_col0"]
+ <-Map 10 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_133]
+ PartitionCols:_col1
+ Select Operator [SEL_132] (rows=7200 width=8)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_131] (rows=7200 width=8)
+ predicate:hd_income_band_sk is not null
+ TableScan [TS_11] (rows=7200 width=8)
+ default@household_demographics,household_demographics,Tbl:COMPLETE,Col:COMPLETE,Output:["hd_demo_sk","hd_income_band_sk"]
+ <-Map 12 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_136]
+ PartitionCols:_col0
+ Select Operator [SEL_135] (rows=2 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_134] (rows=2 width=12)
+ predicate:((ib_lower_bound >= 32287) and (ib_upper_bound <= 82287))
+ TableScan [TS_14] (rows=20 width=12)
+ default@income_band,income_band,Tbl:COMPLETE,Col:COMPLETE,Output:["ib_income_band_sk","ib_lower_bound","ib_upper_bound"]
+ <-Reducer 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_24]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_116] (rows=83148 width=284)
+ Conds:RS_127._col3=RS_130._col0(Inner),Output:["_col0","_col1","_col2","_col4"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_127]
+ PartitionCols:_col3
+ Select Operator [SEL_126] (rows=74500295 width=295)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ Filter Operator [FIL_125] (rows=74500295 width=291)
+ predicate:(c_current_addr_sk is not null and c_current_cdemo_sk is not null and c_current_hdemo_sk is not null)
+ TableScan [TS_5] (rows=80000000 width=291)
+ default@customer,customer,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_id","c_current_cdemo_sk","c_current_hdemo_sk","c_current_addr_sk","c_first_name","c_last_name"]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_130]
+ PartitionCols:_col0
+ Select Operator [SEL_129] (rows=44643 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_128] (rows=44643 width=97)
+ predicate:(ca_city = 'Hopewell')
+ TableScan [TS_8] (rows=40000000 width=97)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_city"]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query85.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query85.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query85.q.out
new file mode 100644
index 0000000..ec5e4cf
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query85.q.out
@@ -0,0 +1,320 @@
+PREHOOK: query: explain
+select substr(r_reason_desc,1,20)
+ ,avg(ws_quantity)
+ ,avg(wr_refunded_cash)
+ ,avg(wr_fee)
+ from web_sales, web_returns, web_page, customer_demographics cd1,
+ customer_demographics cd2, customer_address, date_dim, reason
+ where ws_web_page_sk = wp_web_page_sk
+ and ws_item_sk = wr_item_sk
+ and ws_order_number = wr_order_number
+ and ws_sold_date_sk = d_date_sk and d_year = 1998
+ and cd1.cd_demo_sk = wr_refunded_cdemo_sk
+ and cd2.cd_demo_sk = wr_returning_cdemo_sk
+ and ca_address_sk = wr_refunded_addr_sk
+ and r_reason_sk = wr_reason_sk
+ and
+ (
+ (
+ cd1.cd_marital_status = 'M'
+ and
+ cd1.cd_marital_status = cd2.cd_marital_status
+ and
+ cd1.cd_education_status = '4 yr Degree'
+ and
+ cd1.cd_education_status = cd2.cd_education_status
+ and
+ ws_sales_price between 100.00 and 150.00
+ )
+ or
+ (
+ cd1.cd_marital_status = 'D'
+ and
+ cd1.cd_marital_status = cd2.cd_marital_status
+ and
+ cd1.cd_education_status = 'Primary'
+ and
+ cd1.cd_education_status = cd2.cd_education_status
+ and
+ ws_sales_price between 50.00 and 100.00
+ )
+ or
+ (
+ cd1.cd_marital_status = 'U'
+ and
+ cd1.cd_marital_status = cd2.cd_marital_status
+ and
+ cd1.cd_education_status = 'Advanced Degree'
+ and
+ cd1.cd_education_status = cd2.cd_education_status
+ and
+ ws_sales_price between 150.00 and 200.00
+ )
+ )
+ and
+ (
+ (
+ ca_country = 'United States'
+ and
+ ca_state in ('KY', 'GA', 'NM')
+ and ws_net_profit between 100 and 200
+ )
+ or
+ (
+ ca_country = 'United States'
+ and
+ ca_state in ('MT', 'OR', 'IN')
+ and ws_net_profit between 150 and 300
+ )
+ or
+ (
+ ca_country = 'United States'
+ and
+ ca_state in ('WI', 'MO', 'WV')
+ and ws_net_profit between 50 and 250
+ )
+ )
+group by r_reason_desc
+order by substr(r_reason_desc,1,20)
+ ,avg(ws_quantity)
+ ,avg(wr_refunded_cash)
+ ,avg(wr_fee)
+limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@customer_address
+PREHOOK: Input: default@customer_demographics
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@reason
+PREHOOK: Input: default@web_page
+PREHOOK: Input: default@web_returns
+PREHOOK: Input: default@web_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select substr(r_reason_desc,1,20)
+ ,avg(ws_quantity)
+ ,avg(wr_refunded_cash)
+ ,avg(wr_fee)
+ from web_sales, web_returns, web_page, customer_demographics cd1,
+ customer_demographics cd2, customer_address, date_dim, reason
+ where ws_web_page_sk = wp_web_page_sk
+ and ws_item_sk = wr_item_sk
+ and ws_order_number = wr_order_number
+ and ws_sold_date_sk = d_date_sk and d_year = 1998
+ and cd1.cd_demo_sk = wr_refunded_cdemo_sk
+ and cd2.cd_demo_sk = wr_returning_cdemo_sk
+ and ca_address_sk = wr_refunded_addr_sk
+ and r_reason_sk = wr_reason_sk
+ and
+ (
+ (
+ cd1.cd_marital_status = 'M'
+ and
+ cd1.cd_marital_status = cd2.cd_marital_status
+ and
+ cd1.cd_education_status = '4 yr Degree'
+ and
+ cd1.cd_education_status = cd2.cd_education_status
+ and
+ ws_sales_price between 100.00 and 150.00
+ )
+ or
+ (
+ cd1.cd_marital_status = 'D'
+ and
+ cd1.cd_marital_status = cd2.cd_marital_status
+ and
+ cd1.cd_education_status = 'Primary'
+ and
+ cd1.cd_education_status = cd2.cd_education_status
+ and
+ ws_sales_price between 50.00 and 100.00
+ )
+ or
+ (
+ cd1.cd_marital_status = 'U'
+ and
+ cd1.cd_marital_status = cd2.cd_marital_status
+ and
+ cd1.cd_education_status = 'Advanced Degree'
+ and
+ cd1.cd_education_status = cd2.cd_education_status
+ and
+ ws_sales_price between 150.00 and 200.00
+ )
+ )
+ and
+ (
+ (
+ ca_country = 'United States'
+ and
+ ca_state in ('KY', 'GA', 'NM')
+ and ws_net_profit between 100 and 200
+ )
+ or
+ (
+ ca_country = 'United States'
+ and
+ ca_state in ('MT', 'OR', 'IN')
+ and ws_net_profit between 150 and 300
+ )
+ or
+ (
+ ca_country = 'United States'
+ and
+ ca_state in ('WI', 'MO', 'WV')
+ and ws_net_profit between 50 and 250
+ )
+ )
+group by r_reason_desc
+order by substr(r_reason_desc,1,20)
+ ,avg(ws_quantity)
+ ,avg(wr_refunded_cash)
+ ,avg(wr_fee)
+limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@customer_address
+POSTHOOK: Input: default@customer_demographics
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@reason
+POSTHOOK: Input: default@web_page
+POSTHOOK: Input: default@web_returns
+POSTHOOK: Input: default@web_sales
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Map 10 <- Reducer 12 (BROADCAST_EDGE)
+Reducer 12 <- Map 11 (CUSTOM_SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 10 (SIMPLE_EDGE)
+Reducer 3 <- Map 15 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 11 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 13 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Map 14 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
+Reducer 7 <- Map 15 (SIMPLE_EDGE), Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Reducer 7 (SIMPLE_EDGE)
+Reducer 9 <- Reducer 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:-1
+ Stage-1
+ Reducer 9 vectorized
+ File Output Operator [FS_209]
+ Limit [LIM_208] (rows=7 width=832)
+ Number of rows:100
+ Select Operator [SEL_207] (rows=7 width=832)
+ Output:["_col0","_col1","_col2","_col3"]
+ <-Reducer 8 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_206]
+ Select Operator [SEL_205] (rows=7 width=832)
+ Output:["_col4","_col5","_col6","_col7"]
+ Group By Operator [GBY_204] (rows=7 width=353)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)","sum(VALUE._col2)","count(VALUE._col3)","sum(VALUE._col4)","count(VALUE._col5)"],keys:KEY._col0
+ <-Reducer 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_42]
+ PartitionCols:_col0
+ Group By Operator [GBY_41] (rows=7 width=353)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6"],aggregations:["sum(_col11)","count(_col11)","sum(_col7)","count(_col7)","sum(_col6)","count(_col6)"],keys:_col23
+ Select Operator [SEL_40] (rows=16740 width=136)
+ Output:["_col6","_col7","_col11","_col23"]
+ Filter Operator [FIL_39] (rows=16740 width=136)
+ predicate:((_col31 and _col32 and _col15) or (_col33 and _col34 and _col16) or (_col35 and _col36 and _col17))
+ Merge Join Operator [MERGEJOIN_179] (rows=44640 width=136)
+ Conds:RS_36._col1, _col19, _col20=RS_197._col0, _col1, _col2(Inner),Output:["_col6","_col7","_col11","_col15","_col16","_col17","_col23","_col31","_col32","_col33","_col34","_col35","_col36"]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_197]
+ PartitionCols:_col0, _col1, _col2
+ Select Operator [SEL_195] (rows=265971 width=207)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ Filter Operator [FIL_194] (rows=265971 width=183)
+ predicate:((cd_education_status) IN ('4 yr Degree', 'Primary', 'Advanced Degree') and (cd_marital_status) IN ('M', 'D', 'U'))
+ TableScan [TS_17] (rows=1861800 width=183)
+ default@customer_demographics,cd1,Tbl:COMPLETE,Col:COMPLETE,Output:["cd_demo_sk","cd_marital_status","cd_education_status"]
+ <-Reducer 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_36]
+ PartitionCols:_col1, _col19, _col20
+ Filter Operator [FIL_35] (rows=44640 width=315)
+ predicate:((_col25 and _col12) or (_col26 and _col13) or (_col27 and _col14))
+ Merge Join Operator [MERGEJOIN_178] (rows=59520 width=315)
+ Conds:RS_32._col2=RS_203._col0(Inner),Output:["_col1","_col6","_col7","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col19","_col20","_col23","_col25","_col26","_col27"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_203]
+ PartitionCols:_col0
+ Select Operator [SEL_202] (rows=3529412 width=16)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_201] (rows=3529412 width=187)
+ predicate:((ca_country = 'United States') and (ca_state) IN ('KY', 'GA', 'NM', 'MT', 'OR', 'IN', 'WI', 'MO', 'WV'))
+ TableScan [TS_14] (rows=40000000 width=187)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state","ca_country"]
+ <-Reducer 5 [SIMPLE_EDGE]
+ SHUFFLE [RS_32]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_177] (rows=674551 width=350)
+ Conds:RS_29._col4=RS_200._col0(Inner),Output:["_col1","_col2","_col6","_col7","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col19","_col20","_col23"]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_200]
+ PartitionCols:_col0
+ Select Operator [SEL_199] (rows=72 width=101)
+ Output:["_col0","_col1"]
+ TableScan [TS_12] (rows=72 width=101)
+ default@reason,reason,Tbl:COMPLETE,Col:COMPLETE,Output:["r_reason_sk","r_reason_desc"]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_29]
+ PartitionCols:_col4
+ Merge Join Operator [MERGEJOIN_176] (rows=674551 width=254)
+ Conds:RS_26._col8=RS_185._col0(Inner),Output:["_col1","_col2","_col4","_col6","_col7","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col19","_col20"]
+ <-Map 11 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_185]
+ PartitionCols:_col0
+ Select Operator [SEL_184] (rows=652 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_183] (rows=652 width=8)
+ predicate:(d_year = 1998)
+ TableScan [TS_9] (rows=73049 width=8)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year"]
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_26]
+ PartitionCols:_col8
+ Merge Join Operator [MERGEJOIN_175] (rows=1889180 width=379)
+ Conds:RS_23._col3=RS_198._col0(Inner),Output:["_col1","_col2","_col4","_col6","_col7","_col8","_col11","_col12","_col13","_col14","_col15","_col16","_col17","_col19","_col20"]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_198]
+ PartitionCols:_col0
+ Select Operator [SEL_196] (rows=265971 width=183)
+ Output:["_col0","_col1","_col2"]
+ Please refer to the previous Filter Operator [FIL_194]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_23]
+ PartitionCols:_col3
+ Merge Join Operator [MERGEJOIN_174] (rows=13039884 width=262)
+ Conds:RS_182._col0, _col5=RS_193._col1, _col2(Inner),Output:["_col1","_col2","_col3","_col4","_col6","_col7","_col8","_col11","_col12","_col13","_col14","_col15","_col16","_col17"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_182]
+ PartitionCols:_col0, _col5
+ Select Operator [SEL_181] (rows=11975292 width=237)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ Filter Operator [FIL_180] (rows=11975292 width=237)
+ predicate:(wr_reason_sk is not null and wr_refunded_addr_sk is not null and wr_refunded_cdemo_sk is not null and wr_returning_cdemo_sk is not null)
+ TableScan [TS_0] (rows=14398467 width=237)
+ default@web_returns,web_returns,Tbl:COMPLETE,Col:COMPLETE,Output:["wr_item_sk","wr_refunded_cdemo_sk","wr_refunded_addr_sk","wr_returning_cdemo_sk","wr_reason_sk","wr_order_number","wr_fee","wr_refunded_cash"]
+ <-Map 10 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_193]
+ PartitionCols:_col1, _col2
+ Select Operator [SEL_192] (rows=15992347 width=39)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
+ Filter Operator [FIL_191] (rows=15992347 width=243)
+ predicate:((ws_net_profit BETWEEN 100 AND 200 or ws_net_profit BETWEEN 150 AND 300 or ws_net_profit BETWEEN 50 AND 250) and (ws_sales_price BETWEEN 100 AND 150 or ws_sales_price BETWEEN 50 AND 100 or ws_sales_price BETWEEN 150 AND 200) and (ws_sold_date_sk BETWEEN DynamicValue(RS_27_date_dim_d_date_sk_min) AND DynamicValue(RS_27_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_27_date_dim_d_date_sk_bloom_filter))) and ws_sold_date_sk is not null and ws_web_page_sk is not null)
+ TableScan [TS_3] (rows=144002668 width=243)
+ default@web_sales,web_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_sold_date_sk","ws_item_sk","ws_web_page_sk","ws_order_number","ws_quantity","ws_sales_price","ws_net_profit"]
+ <-Reducer 12 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_190]
+ Group By Operator [GBY_189] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 11 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_188]
+ Group By Operator [GBY_187] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_186] (rows=652 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_184]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query86.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query86.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query86.q.out
new file mode 100644
index 0000000..638cce1
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query86.q.out
@@ -0,0 +1,145 @@
+PREHOOK: query: explain
+select
+ sum(ws_net_paid) as total_sum
+ ,i_category
+ ,i_class
+ ,grouping(i_category)+grouping(i_class) as lochierarchy
+ ,rank() over (
+ partition by grouping(i_category)+grouping(i_class),
+ case when grouping(i_class) = 0 then i_category end
+ order by sum(ws_net_paid) desc) as rank_within_parent
+ from
+ web_sales
+ ,date_dim d1
+ ,item
+ where
+ d1.d_month_seq between 1212 and 1212+11
+ and d1.d_date_sk = ws_sold_date_sk
+ and i_item_sk = ws_item_sk
+ group by rollup(i_category,i_class)
+ order by
+ lochierarchy desc,
+ case when lochierarchy = 0 then i_category end,
+ rank_within_parent
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@item
+PREHOOK: Input: default@web_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select
+ sum(ws_net_paid) as total_sum
+ ,i_category
+ ,i_class
+ ,grouping(i_category)+grouping(i_class) as lochierarchy
+ ,rank() over (
+ partition by grouping(i_category)+grouping(i_class),
+ case when grouping(i_class) = 0 then i_category end
+ order by sum(ws_net_paid) desc) as rank_within_parent
+ from
+ web_sales
+ ,date_dim d1
+ ,item
+ where
+ d1.d_month_seq between 1212 and 1212+11
+ and d1.d_date_sk = ws_sold_date_sk
+ and i_item_sk = ws_item_sk
+ group by rollup(i_category,i_class)
+ order by
+ lochierarchy desc,
+ case when lochierarchy = 0 then i_category end,
+ rank_within_parent
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@item
+POSTHOOK: Input: default@web_sales
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Map 1 <- Reducer 8 (BROADCAST_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 7 (SIMPLE_EDGE)
+Reducer 3 <- Map 9 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Reducer 5 (SIMPLE_EDGE)
+Reducer 8 <- Map 7 (CUSTOM_SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:-1
+ Stage-1
+ Reducer 6 vectorized
+ File Output Operator [FS_82]
+ Limit [LIM_81] (rows=100 width=490)
+ Number of rows:100
+ Select Operator [SEL_80] (rows=3060 width=490)
+ Output:["_col0","_col1","_col2","_col3","_col4"]
+ <-Reducer 5 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_79]
+ Select Operator [SEL_78] (rows=3060 width=490)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5"]
+ PTF Operator [PTF_77] (rows=3060 width=302)
+ Function definitions:[{},{"name:":"windowingtablefunction","order by:":"_col2 DESC NULLS LAST","partition by:":"(grouping(_col3, 1) + grouping(_col3, 0)), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (CAST( null AS STRING)) END"}]
+ Select Operator [SEL_76] (rows=3060 width=302)
+ Output:["_col0","_col1","_col2","_col3"]
+ <-Reducer 4 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_75]
+ PartitionCols:(grouping(_col3, 1) + grouping(_col3, 0)), CASE WHEN ((grouping(_col3, 0) = 0)) THEN (_col0) ELSE (CAST( null AS STRING)) END
+ Select Operator [SEL_74] (rows=3060 width=302)
+ Output:["_col0","_col1","_col2","_col3"]
+ Group By Operator [GBY_73] (rows=3060 width=302)
+ Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0, KEY._col1, KEY._col2
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_17]
+ PartitionCols:_col0, _col1, _col2
+ Group By Operator [GBY_16] (rows=88740 width=302)
+ Output:["_col0","_col1","_col2","_col3"],aggregations:["sum(_col2)"],keys:_col0, _col1, 0L
+ Select Operator [SEL_14] (rows=24992810 width=293)
+ Output:["_col0","_col1","_col2"]
+ Merge Join Operator [MERGEJOIN_59] (rows=24992810 width=293)
+ Conds:RS_11._col1=RS_72._col0(Inner),Output:["_col2","_col5","_col6"]
+ <-Map 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_72]
+ PartitionCols:_col0
+ Select Operator [SEL_71] (rows=462000 width=186)
+ Output:["_col0","_col1","_col2"]
+ TableScan [TS_6] (rows=462000 width=186)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_class","i_category"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_11]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_58] (rows=24992810 width=115)
+ Conds:RS_70._col0=RS_62._col0(Inner),Output:["_col1","_col2"]
+ <-Map 7 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_62]
+ PartitionCols:_col0
+ Select Operator [SEL_61] (rows=317 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_60] (rows=317 width=8)
+ predicate:d_month_seq BETWEEN 1212 AND 1223
+ TableScan [TS_3] (rows=73049 width=8)
+ default@date_dim,d1,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_month_seq"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_70]
+ PartitionCols:_col0
+ Select Operator [SEL_69] (rows=143966864 width=119)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_68] (rows=143966864 width=119)
+ predicate:((ws_sold_date_sk BETWEEN DynamicValue(RS_9_d1_d_date_sk_min) AND DynamicValue(RS_9_d1_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_9_d1_d_date_sk_bloom_filter))) and ws_sold_date_sk is not null)
+ TableScan [TS_0] (rows=144002668 width=119)
+ default@web_sales,web_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_sold_date_sk","ws_item_sk","ws_net_paid"]
+ <-Reducer 8 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_67]
+ Group By Operator [GBY_66] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 7 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_65]
+ Group By Operator [GBY_64] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_63] (rows=317 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_61]
+