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Posted to commits@hive.apache.org by jc...@apache.org on 2018/10/22 02:10:18 UTC
[13/51] [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/query59.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query59.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query59.q.out
new file mode 100644
index 0000000..4e7c921
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query59.q.out
@@ -0,0 +1,234 @@
+PREHOOK: query: explain
+with wss as
+ (select d_week_seq,
+ ss_store_sk,
+ sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
+ sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
+ sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales,
+ sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
+ sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
+ sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
+ sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
+ from store_sales,date_dim
+ where d_date_sk = ss_sold_date_sk
+ group by d_week_seq,ss_store_sk
+ )
+ select s_store_name1,s_store_id1,d_week_seq1
+ ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
+ ,tue_sales1/tue_sales1,wed_sales1/wed_sales2,thu_sales1/thu_sales2
+ ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
+ from
+ (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
+ ,s_store_id s_store_id1,sun_sales sun_sales1
+ ,mon_sales mon_sales1,tue_sales tue_sales1
+ ,wed_sales wed_sales1,thu_sales thu_sales1
+ ,fri_sales fri_sales1,sat_sales sat_sales1
+ from wss,store,date_dim d
+ where d.d_week_seq = wss.d_week_seq and
+ ss_store_sk = s_store_sk and
+ d_month_seq between 1185 and 1185 + 11) y,
+ (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
+ ,s_store_id s_store_id2,sun_sales sun_sales2
+ ,mon_sales mon_sales2,tue_sales tue_sales2
+ ,wed_sales wed_sales2,thu_sales thu_sales2
+ ,fri_sales fri_sales2,sat_sales sat_sales2
+ from wss,store,date_dim d
+ where d.d_week_seq = wss.d_week_seq and
+ ss_store_sk = s_store_sk and
+ d_month_seq between 1185+ 12 and 1185 + 23) x
+ where s_store_id1=s_store_id2
+ and d_week_seq1=d_week_seq2-52
+ order by s_store_name1,s_store_id1,d_week_seq1
+limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@store
+PREHOOK: Input: default@store_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+with wss as
+ (select d_week_seq,
+ ss_store_sk,
+ sum(case when (d_day_name='Sunday') then ss_sales_price else null end) sun_sales,
+ sum(case when (d_day_name='Monday') then ss_sales_price else null end) mon_sales,
+ sum(case when (d_day_name='Tuesday') then ss_sales_price else null end) tue_sales,
+ sum(case when (d_day_name='Wednesday') then ss_sales_price else null end) wed_sales,
+ sum(case when (d_day_name='Thursday') then ss_sales_price else null end) thu_sales,
+ sum(case when (d_day_name='Friday') then ss_sales_price else null end) fri_sales,
+ sum(case when (d_day_name='Saturday') then ss_sales_price else null end) sat_sales
+ from store_sales,date_dim
+ where d_date_sk = ss_sold_date_sk
+ group by d_week_seq,ss_store_sk
+ )
+ select s_store_name1,s_store_id1,d_week_seq1
+ ,sun_sales1/sun_sales2,mon_sales1/mon_sales2
+ ,tue_sales1/tue_sales1,wed_sales1/wed_sales2,thu_sales1/thu_sales2
+ ,fri_sales1/fri_sales2,sat_sales1/sat_sales2
+ from
+ (select s_store_name s_store_name1,wss.d_week_seq d_week_seq1
+ ,s_store_id s_store_id1,sun_sales sun_sales1
+ ,mon_sales mon_sales1,tue_sales tue_sales1
+ ,wed_sales wed_sales1,thu_sales thu_sales1
+ ,fri_sales fri_sales1,sat_sales sat_sales1
+ from wss,store,date_dim d
+ where d.d_week_seq = wss.d_week_seq and
+ ss_store_sk = s_store_sk and
+ d_month_seq between 1185 and 1185 + 11) y,
+ (select s_store_name s_store_name2,wss.d_week_seq d_week_seq2
+ ,s_store_id s_store_id2,sun_sales sun_sales2
+ ,mon_sales mon_sales2,tue_sales tue_sales2
+ ,wed_sales wed_sales2,thu_sales thu_sales2
+ ,fri_sales fri_sales2,sat_sales sat_sales2
+ from wss,store,date_dim d
+ where d.d_week_seq = wss.d_week_seq and
+ ss_store_sk = s_store_sk and
+ d_month_seq between 1185+ 12 and 1185 + 23) x
+ where s_store_id1=s_store_id2
+ and d_week_seq1=d_week_seq2-52
+ order by s_store_name1,s_store_id1,d_week_seq1
+limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@store
+POSTHOOK: Input: default@store_sales
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Reducer 10 <- Map 13 (SIMPLE_EDGE), Reducer 9 (SIMPLE_EDGE)
+Reducer 11 <- Map 15 (SIMPLE_EDGE), Reducer 10 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE)
+Reducer 3 <- Reducer 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 13 (SIMPLE_EDGE), Reducer 3 (SIMPLE_EDGE)
+Reducer 5 <- Map 14 (SIMPLE_EDGE), Reducer 4 (SIMPLE_EDGE)
+Reducer 6 <- Reducer 11 (SIMPLE_EDGE), Reducer 5 (SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Map 1 (SIMPLE_EDGE), Map 12 (SIMPLE_EDGE)
+Reducer 9 <- Reducer 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 7 vectorized
+ File Output Operator [FS_207]
+ Limit [LIM_206] (rows=100 width=976)
+ Number of rows:100
+ Select Operator [SEL_205] (rows=1012347 width=976)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
+ <-Reducer 6 [SIMPLE_EDGE]
+ SHUFFLE [RS_57]
+ Select Operator [SEL_56] (rows=1012347 width=976)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col9"]
+ Merge Join Operator [MERGEJOIN_181] (rows=1012347 width=1648)
+ Conds:RS_53._col11, _col0=RS_54._col0, _col7(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col11","_col12","_col14","_col15","_col16","_col17","_col18","_col19"]
+ <-Reducer 11 [SIMPLE_EDGE]
+ SHUFFLE [RS_54]
+ PartitionCols:_col0, _col7
+ Select Operator [SEL_46] (rows=28847 width=776)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ Merge Join Operator [MERGEJOIN_180] (rows=28847 width=776)
+ Conds:RS_43._col1=RS_204._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col10"]
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_204]
+ PartitionCols:_col0
+ Select Operator [SEL_203] (rows=1704 width=104)
+ Output:["_col0","_col1"]
+ TableScan [TS_38] (rows=1704 width=104)
+ default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_id"]
+ <-Reducer 10 [SIMPLE_EDGE]
+ SHUFFLE [RS_43]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_179] (rows=28847 width=676)
+ Conds:RS_202._col0=RS_198._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_198]
+ PartitionCols:_col0
+ Select Operator [SEL_196] (rows=317 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_194] (rows=317 width=8)
+ predicate:(d_month_seq BETWEEN 1197 AND 1208 and d_week_seq is not null)
+ TableScan [TS_15] (rows=73049 width=8)
+ default@date_dim,d,Tbl:COMPLETE,Col:COMPLETE,Output:["d_month_seq","d_week_seq"]
+ <-Reducer 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_202]
+ PartitionCols:_col0
+ Group By Operator [GBY_201] (rows=1196832 width=679)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)"],keys:KEY._col0, KEY._col1
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_32]
+ PartitionCols:_col0, _col1
+ Group By Operator [GBY_31] (rows=525329897 width=679)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7"],aggregations:["sum(_col2)","sum(_col3)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1
+ Select Operator [SEL_29] (rows=525329897 width=138)
+ Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_178] (rows=525329897 width=138)
+ Conds:RS_185._col0=RS_190._col0(Inner),Output:["_col1","_col2","_col4","_col5","_col6","_col8","_col9","_col10","_col11"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_185]
+ PartitionCols:_col0
+ Select Operator [SEL_183] (rows=525329897 width=114)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_182] (rows=525329897 width=114)
+ predicate:(ss_sold_date_sk is not null and ss_store_sk is not null)
+ TableScan [TS_0] (rows=575995635 width=114)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_store_sk","ss_sales_price"]
+ <-Map 12 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_190]
+ PartitionCols:_col0
+ Select Operator [SEL_188] (rows=73049 width=36)
+ Output:["_col0","_col1","_col2","_col3","_col5","_col6","_col7","_col8"]
+ Filter Operator [FIL_186] (rows=73049 width=99)
+ predicate:d_week_seq is not null
+ TableScan [TS_3] (rows=73049 width=99)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_week_seq","d_day_name"]
+ <-Reducer 5 [SIMPLE_EDGE]
+ SHUFFLE [RS_53]
+ PartitionCols:_col11, _col0
+ Merge Join Operator [MERGEJOIN_177] (rows=28847 width=976)
+ Conds:RS_50._col1=RS_200._col0(Inner),Output:["_col0","_col2","_col3","_col4","_col5","_col6","_col7","_col8","_col11","_col12"]
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_200]
+ PartitionCols:_col0
+ Select Operator [SEL_199] (rows=1704 width=192)
+ Output:["_col0","_col1","_col2"]
+ TableScan [TS_18] (rows=1704 width=192)
+ default@store,store,Tbl:COMPLETE,Col:COMPLETE,Output:["s_store_sk","s_store_id","s_store_name"]
+ <-Reducer 4 [SIMPLE_EDGE]
+ SHUFFLE [RS_50]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_176] (rows=28847 width=788)
+ Conds:RS_192._col0=RS_197._col0(Inner),Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_197]
+ PartitionCols:_col0
+ Select Operator [SEL_195] (rows=317 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_193] (rows=317 width=8)
+ predicate:(d_month_seq BETWEEN 1185 AND 1196 and d_week_seq is not null)
+ Please refer to the previous TableScan [TS_15]
+ <-Reducer 3 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_192]
+ PartitionCols:_col0
+ Group By Operator [GBY_191] (rows=1196832 width=791)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(VALUE._col0)","sum(VALUE._col1)","sum(VALUE._col2)","sum(VALUE._col3)","sum(VALUE._col4)","sum(VALUE._col5)","sum(VALUE._col6)"],keys:KEY._col0, KEY._col1
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_12]
+ PartitionCols:_col0, _col1
+ Group By Operator [GBY_11] (rows=525329897 width=791)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"],aggregations:["sum(_col2)","sum(_col3)","sum(_col4)","sum(_col5)","sum(_col6)","sum(_col7)","sum(_col8)"],keys:_col0, _col1
+ Select Operator [SEL_9] (rows=525329897 width=142)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ Merge Join Operator [MERGEJOIN_175] (rows=525329897 width=142)
+ Conds:RS_184._col0=RS_189._col0(Inner),Output:["_col1","_col2","_col4","_col5","_col6","_col7","_col8","_col9","_col10","_col11"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_184]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_183]
+ <-Map 12 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_189]
+ PartitionCols:_col0
+ Select Operator [SEL_187] (rows=73049 width=36)
+ Output:["_col0","_col1","_col2","_col3","_col4","_col5","_col6","_col7","_col8"]
+ Please refer to the previous Filter Operator [FIL_186]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out
new file mode 100644
index 0000000..85c962f
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query6.q.out
@@ -0,0 +1,236 @@
+Warning: Map Join MAPJOIN[172][bigTable=?] in task 'Reducer 15' is a cross product
+PREHOOK: query: explain
+select a.ca_state state, count(*) cnt
+ from customer_address a
+ ,customer c
+ ,store_sales s
+ ,date_dim d
+ ,item i
+ where a.ca_address_sk = c.c_current_addr_sk
+ and c.c_customer_sk = s.ss_customer_sk
+ and s.ss_sold_date_sk = d.d_date_sk
+ and s.ss_item_sk = i.i_item_sk
+ and d.d_month_seq =
+ (select distinct (d_month_seq)
+ from date_dim
+ where d_year = 2000
+ and d_moy = 2 )
+ and i.i_current_price > 1.2 *
+ (select avg(j.i_current_price)
+ from item j
+ where j.i_category = i.i_category)
+ group by a.ca_state
+ having count(*) >= 10
+ order by cnt
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@customer
+PREHOOK: Input: default@customer_address
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@item
+PREHOOK: Input: default@store_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+select a.ca_state state, count(*) cnt
+ from customer_address a
+ ,customer c
+ ,store_sales s
+ ,date_dim d
+ ,item i
+ where a.ca_address_sk = c.c_current_addr_sk
+ and c.c_customer_sk = s.ss_customer_sk
+ and s.ss_sold_date_sk = d.d_date_sk
+ and s.ss_item_sk = i.i_item_sk
+ and d.d_month_seq =
+ (select distinct (d_month_seq)
+ from date_dim
+ where d_year = 2000
+ and d_moy = 2 )
+ and i.i_current_price > 1.2 *
+ (select avg(j.i_current_price)
+ from item j
+ where j.i_category = i.i_category)
+ group by a.ca_state
+ having count(*) >= 10
+ order by cnt
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@customer
+POSTHOOK: Input: default@customer_address
+POSTHOOK: Input: default@date_dim
+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 3 (BROADCAST_EDGE)
+Map 16 <- Reducer 15 (BROADCAST_EDGE)
+Map 6 <- Map 1 (BROADCAST_EDGE), Reducer 17 (BROADCAST_EDGE)
+Reducer 10 <- Reducer 9 (SIMPLE_EDGE)
+Reducer 12 <- Map 11 (SIMPLE_EDGE), Map 13 (SIMPLE_EDGE)
+Reducer 15 <- Map 14 (SIMPLE_EDGE), Reducer 5 (BROADCAST_EDGE)
+Reducer 17 <- Map 16 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Map 2 (SIMPLE_EDGE)
+Reducer 4 <- Map 2 (SIMPLE_EDGE)
+Reducer 5 <- Reducer 4 (CUSTOM_SIMPLE_EDGE)
+Reducer 7 <- Map 6 (SIMPLE_EDGE), Reducer 12 (SIMPLE_EDGE)
+Reducer 8 <- Map 16 (SIMPLE_EDGE), Reducer 7 (SIMPLE_EDGE)
+Reducer 9 <- Reducer 8 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 10 vectorized
+ File Output Operator [FS_234]
+ Limit [LIM_233] (rows=1 width=94)
+ Number of rows:100
+ Select Operator [SEL_232] (rows=1 width=94)
+ Output:["_col0","_col1"]
+ <-Reducer 9 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_231]
+ Filter Operator [FIL_230] (rows=1 width=94)
+ predicate:(_col1 >= 10L)
+ Group By Operator [GBY_229] (rows=1 width=94)
+ Output:["_col0","_col1"],aggregations:["count(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 8 [SIMPLE_EDGE]
+ SHUFFLE [RS_68]
+ PartitionCols:_col0
+ Group By Operator [GBY_67] (rows=1 width=94)
+ Output:["_col0","_col1"],aggregations:["count()"],keys:_col9
+ Merge Join Operator [MERGEJOIN_175] (rows=316 width=86)
+ Conds:RS_63._col4=RS_214._col0(Inner),Output:["_col9"]
+ <-Map 16 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_214]
+ PartitionCols:_col0
+ Select Operator [SEL_213] (rows=154000 width=227)
+ Output:["_col0"]
+ Filter Operator [FIL_212] (rows=154000 width=227)
+ predicate:(_col4 > _col1)
+ Map Join Operator [MAPJOIN_211] (rows=462000 width=227)
+ Conds:RS_208._col0=SEL_210._col2(Inner),HybridGraceHashJoin:true,Output:["_col1","_col3","_col4"]
+ <-Reducer 15 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_208]
+ PartitionCols:_col0
+ Map Join Operator [MAPJOIN_207] (rows=10 width=202)
+ Conds:(Inner),Output:["_col0","_col1"]
+ <-Reducer 5 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_204]
+ Select Operator [SEL_203] (rows=1 width=8)
+ Filter Operator [FIL_202] (rows=1 width=8)
+ predicate:(sq_count_check(_col0) <= 1)
+ Group By Operator [GBY_201] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count(VALUE._col0)"]
+ <-Reducer 4 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_200]
+ Group By Operator [GBY_199] (rows=1 width=8)
+ Output:["_col0"],aggregations:["count()"]
+ Select Operator [SEL_198] (rows=25 width=4)
+ Group By Operator [GBY_197] (rows=25 width=4)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 2 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_187]
+ PartitionCols:_col0
+ Group By Operator [GBY_185] (rows=25 width=4)
+ Output:["_col0"],keys:d_month_seq
+ Select Operator [SEL_183] (rows=50 width=12)
+ Output:["d_month_seq"]
+ Filter Operator [FIL_181] (rows=50 width=12)
+ predicate:((d_moy = 2) and (d_year = 2000))
+ TableScan [TS_3] (rows=73049 width=12)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_month_seq","d_year","d_moy"]
+ <-Select Operator [SEL_206] (rows=10 width=202)
+ Output:["_col0","_col1"]
+ Group By Operator [GBY_205] (rows=10 width=210)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(VALUE._col0)","count(VALUE._col1)"],keys:KEY._col0
+ <-Map 14 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_196]
+ PartitionCols:_col0
+ Group By Operator [GBY_195] (rows=10 width=210)
+ Output:["_col0","_col1","_col2"],aggregations:["sum(i_current_price)","count(i_current_price)"],keys:i_category
+ Filter Operator [FIL_194] (rows=462000 width=201)
+ predicate:i_category is not null
+ TableScan [TS_22] (rows=462000 width=201)
+ default@item,j,Tbl:COMPLETE,Col:COMPLETE,Output:["i_current_price","i_category"]
+ <-Select Operator [SEL_210] (rows=462000 width=205)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_209] (rows=462000 width=205)
+ predicate:i_category is not null
+ TableScan [TS_43] (rows=462000 width=205)
+ default@item,i,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_current_price","i_category"]
+ <-Reducer 7 [SIMPLE_EDGE]
+ SHUFFLE [RS_63]
+ PartitionCols:_col4
+ Merge Join Operator [MERGEJOIN_174] (rows=7192227 width=90)
+ Conds:RS_223._col5=RS_61._col0(Inner),Output:["_col4","_col9"]
+ <-Map 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_223]
+ PartitionCols:_col5
+ Map Join Operator [MAPJOIN_222] (rows=7192227 width=4)
+ Conds:RS_193._col0=SEL_221._col0(Inner),HybridGraceHashJoin:true,Output:["_col4","_col5"]
+ <-Map 1 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_193]
+ PartitionCols:_col0
+ Map Join Operator [MAPJOIN_192] (rows=660 width=4)
+ Conds:SEL_191._col1=RS_189._col0(Inner),HybridGraceHashJoin:true,Output:["_col0"]
+ <-Reducer 3 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_189]
+ PartitionCols:_col0
+ Group By Operator [GBY_188] (rows=25 width=4)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 2 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_186]
+ PartitionCols:_col0
+ Group By Operator [GBY_184] (rows=25 width=4)
+ Output:["_col0"],keys:d_month_seq
+ Select Operator [SEL_182] (rows=50 width=12)
+ Output:["d_month_seq"]
+ Filter Operator [FIL_180] (rows=50 width=12)
+ predicate:((d_moy = 2) and (d_year = 2000) and d_month_seq is not null)
+ Please refer to the previous TableScan [TS_3]
+ <-Select Operator [SEL_191] (rows=73049 width=8)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_190] (rows=73049 width=8)
+ predicate:d_month_seq is not null
+ TableScan [TS_0] (rows=73049 width=8)
+ default@date_dim,d,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_month_seq"]
+ <-Select Operator [SEL_221] (rows=525327388 width=11)
+ Output:["_col0","_col1","_col2"]
+ Filter Operator [FIL_220] (rows=525327388 width=11)
+ predicate:((ss_item_sk BETWEEN DynamicValue(RS_64_i_i_item_sk_min) AND DynamicValue(RS_64_i_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_64_i_i_item_sk_bloom_filter))) and ss_customer_sk is not null and ss_sold_date_sk is not null)
+ TableScan [TS_10] (rows=575995635 width=11)
+ default@store_sales,s,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_customer_sk"]
+ <-Reducer 17 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_219]
+ Group By Operator [GBY_218] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 16 [CUSTOM_SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_217]
+ Group By Operator [GBY_216] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_215] (rows=154000 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_213]
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_61]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_171] (rows=80000000 width=90)
+ Conds:RS_226._col1=RS_228._col0(Inner),Output:["_col0","_col3"]
+ <-Map 11 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_226]
+ PartitionCols:_col1
+ Select Operator [SEL_225] (rows=80000000 width=8)
+ Output:["_col0","_col1"]
+ Filter Operator [FIL_224] (rows=80000000 width=8)
+ predicate:c_current_addr_sk is not null
+ TableScan [TS_13] (rows=80000000 width=8)
+ default@customer,c,Tbl:COMPLETE,Col:COMPLETE,Output:["c_customer_sk","c_current_addr_sk"]
+ <-Map 13 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_228]
+ PartitionCols:_col0
+ Select Operator [SEL_227] (rows=40000000 width=90)
+ Output:["_col0","_col1"]
+ TableScan [TS_16] (rows=40000000 width=90)
+ default@customer_address,a,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_state"]
+
http://git-wip-us.apache.org/repos/asf/hive/blob/b8299551/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out b/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out
new file mode 100644
index 0000000..cb94e4f
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/tez/constraints/query60.q.out
@@ -0,0 +1,496 @@
+PREHOOK: query: explain
+with ss as (
+ select
+ i_item_id,sum(ss_ext_sales_price) total_sales
+ from
+ store_sales,
+ date_dim,
+ customer_address,
+ item
+ where
+ i_item_id in (select
+ i_item_id
+from
+ item
+where i_category in ('Children'))
+ and ss_item_sk = i_item_sk
+ and ss_sold_date_sk = d_date_sk
+ and d_year = 1999
+ and d_moy = 9
+ and ss_addr_sk = ca_address_sk
+ and ca_gmt_offset = -6
+ group by i_item_id),
+ cs as (
+ select
+ i_item_id,sum(cs_ext_sales_price) total_sales
+ from
+ catalog_sales,
+ date_dim,
+ customer_address,
+ item
+ where
+ i_item_id in (select
+ i_item_id
+from
+ item
+where i_category in ('Children'))
+ and cs_item_sk = i_item_sk
+ and cs_sold_date_sk = d_date_sk
+ and d_year = 1999
+ and d_moy = 9
+ and cs_bill_addr_sk = ca_address_sk
+ and ca_gmt_offset = -6
+ group by i_item_id),
+ ws as (
+ select
+ i_item_id,sum(ws_ext_sales_price) total_sales
+ from
+ web_sales,
+ date_dim,
+ customer_address,
+ item
+ where
+ i_item_id in (select
+ i_item_id
+from
+ item
+where i_category in ('Children'))
+ and ws_item_sk = i_item_sk
+ and ws_sold_date_sk = d_date_sk
+ and d_year = 1999
+ and d_moy = 9
+ and ws_bill_addr_sk = ca_address_sk
+ and ca_gmt_offset = -6
+ group by i_item_id)
+ select
+ i_item_id
+,sum(total_sales) total_sales
+ from (select * from ss
+ union all
+ select * from cs
+ union all
+ select * from ws) tmp1
+ group by i_item_id
+ order by i_item_id
+ ,total_sales
+ limit 100
+PREHOOK: type: QUERY
+PREHOOK: Input: default@catalog_sales
+PREHOOK: Input: default@customer_address
+PREHOOK: Input: default@date_dim
+PREHOOK: Input: default@item
+PREHOOK: Input: default@store_sales
+PREHOOK: Input: default@web_sales
+PREHOOK: Output: hdfs://### HDFS PATH ###
+POSTHOOK: query: explain
+with ss as (
+ select
+ i_item_id,sum(ss_ext_sales_price) total_sales
+ from
+ store_sales,
+ date_dim,
+ customer_address,
+ item
+ where
+ i_item_id in (select
+ i_item_id
+from
+ item
+where i_category in ('Children'))
+ and ss_item_sk = i_item_sk
+ and ss_sold_date_sk = d_date_sk
+ and d_year = 1999
+ and d_moy = 9
+ and ss_addr_sk = ca_address_sk
+ and ca_gmt_offset = -6
+ group by i_item_id),
+ cs as (
+ select
+ i_item_id,sum(cs_ext_sales_price) total_sales
+ from
+ catalog_sales,
+ date_dim,
+ customer_address,
+ item
+ where
+ i_item_id in (select
+ i_item_id
+from
+ item
+where i_category in ('Children'))
+ and cs_item_sk = i_item_sk
+ and cs_sold_date_sk = d_date_sk
+ and d_year = 1999
+ and d_moy = 9
+ and cs_bill_addr_sk = ca_address_sk
+ and ca_gmt_offset = -6
+ group by i_item_id),
+ ws as (
+ select
+ i_item_id,sum(ws_ext_sales_price) total_sales
+ from
+ web_sales,
+ date_dim,
+ customer_address,
+ item
+ where
+ i_item_id in (select
+ i_item_id
+from
+ item
+where i_category in ('Children'))
+ and ws_item_sk = i_item_sk
+ and ws_sold_date_sk = d_date_sk
+ and d_year = 1999
+ and d_moy = 9
+ and ws_bill_addr_sk = ca_address_sk
+ and ca_gmt_offset = -6
+ group by i_item_id)
+ select
+ i_item_id
+,sum(total_sales) total_sales
+ from (select * from ss
+ union all
+ select * from cs
+ union all
+ select * from ws) tmp1
+ group by i_item_id
+ order by i_item_id
+ ,total_sales
+ limit 100
+POSTHOOK: type: QUERY
+POSTHOOK: Input: default@catalog_sales
+POSTHOOK: Input: default@customer_address
+POSTHOOK: Input: default@date_dim
+POSTHOOK: Input: default@item
+POSTHOOK: Input: default@store_sales
+POSTHOOK: Input: default@web_sales
+POSTHOOK: Output: hdfs://### HDFS PATH ###
+Plan optimized by CBO.
+
+Vertex dependency in root stage
+Map 17 <- Reducer 21 (BROADCAST_EDGE), Reducer 29 (BROADCAST_EDGE), Reducer 8 (BROADCAST_EDGE)
+Map 32 <- Reducer 11 (BROADCAST_EDGE), Reducer 24 (BROADCAST_EDGE), Reducer 30 (BROADCAST_EDGE)
+Map 33 <- Reducer 14 (BROADCAST_EDGE), Reducer 27 (BROADCAST_EDGE), Reducer 31 (BROADCAST_EDGE)
+Reducer 10 <- Reducer 9 (SIMPLE_EDGE), Union 5 (CONTAINS)
+Reducer 11 <- Reducer 2 (CUSTOM_SIMPLE_EDGE)
+Reducer 12 <- Reducer 2 (SIMPLE_EDGE), Reducer 26 (SIMPLE_EDGE)
+Reducer 13 <- Reducer 12 (SIMPLE_EDGE), Union 5 (CONTAINS)
+Reducer 14 <- Reducer 2 (CUSTOM_SIMPLE_EDGE)
+Reducer 16 <- Map 15 (SIMPLE_EDGE)
+Reducer 18 <- Map 17 (SIMPLE_EDGE), Map 20 (SIMPLE_EDGE)
+Reducer 19 <- Map 28 (SIMPLE_EDGE), Reducer 18 (SIMPLE_EDGE)
+Reducer 2 <- Map 1 (SIMPLE_EDGE), Reducer 16 (ONE_TO_ONE_EDGE)
+Reducer 21 <- Map 20 (CUSTOM_SIMPLE_EDGE)
+Reducer 22 <- Map 20 (SIMPLE_EDGE), Map 32 (SIMPLE_EDGE)
+Reducer 23 <- Map 28 (SIMPLE_EDGE), Reducer 22 (SIMPLE_EDGE)
+Reducer 24 <- Map 20 (CUSTOM_SIMPLE_EDGE)
+Reducer 25 <- Map 20 (SIMPLE_EDGE), Map 33 (SIMPLE_EDGE)
+Reducer 26 <- Map 28 (SIMPLE_EDGE), Reducer 25 (SIMPLE_EDGE)
+Reducer 27 <- Map 20 (CUSTOM_SIMPLE_EDGE)
+Reducer 29 <- Map 28 (CUSTOM_SIMPLE_EDGE)
+Reducer 3 <- Reducer 19 (SIMPLE_EDGE), Reducer 2 (SIMPLE_EDGE)
+Reducer 30 <- Map 28 (CUSTOM_SIMPLE_EDGE)
+Reducer 31 <- Map 28 (CUSTOM_SIMPLE_EDGE)
+Reducer 4 <- Reducer 3 (SIMPLE_EDGE), Union 5 (CONTAINS)
+Reducer 6 <- Union 5 (SIMPLE_EDGE)
+Reducer 7 <- Reducer 6 (SIMPLE_EDGE)
+Reducer 8 <- Reducer 2 (CUSTOM_SIMPLE_EDGE)
+Reducer 9 <- Reducer 2 (SIMPLE_EDGE), Reducer 23 (SIMPLE_EDGE)
+
+Stage-0
+ Fetch Operator
+ limit:100
+ Stage-1
+ Reducer 7 vectorized
+ File Output Operator [FS_375]
+ Limit [LIM_374] (rows=100 width=212)
+ Number of rows:100
+ Select Operator [SEL_373] (rows=1717 width=212)
+ Output:["_col0","_col1"]
+ <-Reducer 6 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_372]
+ Group By Operator [GBY_371] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
+ <-Union 5 [SIMPLE_EDGE]
+ <-Reducer 10 [CONTAINS] vectorized
+ Reduce Output Operator [RS_388]
+ PartitionCols:_col0
+ Group By Operator [GBY_387] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
+ Top N Key Operator [TNK_386] (rows=5151 width=212)
+ keys:_col0,sort order:+,top n:100
+ Group By Operator [GBY_385] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 9 [SIMPLE_EDGE]
+ SHUFFLE [RS_69]
+ PartitionCols:_col0
+ Group By Operator [GBY_68] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1
+ Merge Join Operator [MERGEJOIN_305] (rows=746132 width=100)
+ Conds:RS_64._col0=RS_65._col3(Inner),Output:["_col1","_col7"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_64]
+ PartitionCols:_col0
+ Merge Join Operator [MERGEJOIN_295] (rows=34340 width=104)
+ Conds:RS_323._col1=RS_329._col0(Inner),Output:["_col0","_col1"]
+ <-Map 1 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_323]
+ PartitionCols:_col1
+ Select Operator [SEL_322] (rows=462000 width=104)
+ Output:["_col0","_col1"]
+ TableScan [TS_0] (rows=462000 width=104)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_sk","i_item_id"]
+ <-Reducer 16 [ONE_TO_ONE_EDGE] vectorized
+ FORWARD [RS_329]
+ PartitionCols:_col0
+ Group By Operator [GBY_328] (rows=23100 width=100)
+ Output:["_col0"],keys:KEY._col0
+ <-Map 15 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_327]
+ PartitionCols:_col0
+ Group By Operator [GBY_326] (rows=23100 width=100)
+ Output:["_col0"],keys:i_item_id
+ Select Operator [SEL_325] (rows=46200 width=190)
+ Output:["i_item_id"]
+ Filter Operator [FIL_324] (rows=46200 width=190)
+ predicate:(i_category = 'Children')
+ TableScan [TS_2] (rows=462000 width=190)
+ default@item,item,Tbl:COMPLETE,Col:COMPLETE,Output:["i_item_id","i_category"]
+ <-Reducer 23 [SIMPLE_EDGE]
+ SHUFFLE [RS_65]
+ PartitionCols:_col3
+ Select Operator [SEL_60] (rows=1550375 width=13)
+ Output:["_col3","_col4"]
+ Merge Join Operator [MERGEJOIN_300] (rows=1550375 width=13)
+ Conds:RS_57._col1=RS_350._col0(Inner),Output:["_col2","_col3"]
+ <-Map 28 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_350]
+ PartitionCols:_col0
+ Select Operator [SEL_347] (rows=8000000 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_346] (rows=8000000 width=112)
+ predicate:(ca_gmt_offset = -6)
+ TableScan [TS_15] (rows=40000000 width=112)
+ default@customer_address,customer_address,Tbl:COMPLETE,Col:COMPLETE,Output:["ca_address_sk","ca_gmt_offset"]
+ <-Reducer 22 [SIMPLE_EDGE]
+ SHUFFLE [RS_57]
+ PartitionCols:_col1
+ Merge Join Operator [MERGEJOIN_299] (rows=7751872 width=98)
+ Conds:RS_384._col0=RS_334._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 20 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_334]
+ PartitionCols:_col0
+ Select Operator [SEL_331] (rows=50 width=4)
+ Output:["_col0"]
+ Filter Operator [FIL_330] (rows=50 width=12)
+ predicate:((d_moy = 9) and (d_year = 1999))
+ TableScan [TS_12] (rows=73049 width=12)
+ default@date_dim,date_dim,Tbl:COMPLETE,Col:COMPLETE,Output:["d_date_sk","d_year","d_moy"]
+ <-Map 32 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_384]
+ PartitionCols:_col0
+ Select Operator [SEL_383] (rows=285117733 width=123)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_382] (rows=285117733 width=123)
+ predicate:((cs_bill_addr_sk BETWEEN DynamicValue(RS_58_customer_address_ca_address_sk_min) AND DynamicValue(RS_58_customer_address_ca_address_sk_max) and in_bloom_filter(cs_bill_addr_sk, DynamicValue(RS_58_customer_address_ca_address_sk_bloom_filter))) and (cs_item_sk BETWEEN DynamicValue(RS_64_item_i_item_sk_min) AND DynamicValue(RS_64_item_i_item_sk_max) and in_bloom_filter(cs_item_sk, DynamicValue(RS_64_item_i_item_sk_bloom_filter))) and (cs_sold_date_sk BETWEEN DynamicValue(RS_55_date_dim_d_date_sk_min) AND DynamicValue(RS_55_date_dim_d_date_sk_max) and in_bloom_filter(cs_sold_date_sk, DynamicValue(RS_55_date_dim_d_date_sk_bloom_filter))) and cs_bill_addr_sk is not null and cs_sold_date_sk is not null)
+ TableScan [TS_45] (rows=287989836 width=123)
+ default@catalog_sales,catalog_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["cs_sold_date_sk","cs_bill_addr_sk","cs_item_sk","cs_ext_sales_price"]
+ <-Reducer 11 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_381]
+ Group By Operator [GBY_380] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 2 [CUSTOM_SIMPLE_EDGE]
+ SHUFFLE [RS_240]
+ Group By Operator [GBY_239] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_238] (rows=34340 width=4)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ <-Reducer 24 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_377]
+ Group By Operator [GBY_376] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_342]
+ Group By Operator [GBY_339] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_335] (rows=50 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_331]
+ <-Reducer 30 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_379]
+ Group By Operator [GBY_378] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"]
+ <-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_358]
+ Group By Operator [GBY_355] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"]
+ Select Operator [SEL_351] (rows=8000000 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_347]
+ <-Reducer 13 [CONTAINS] vectorized
+ Reduce Output Operator [RS_401]
+ PartitionCols:_col0
+ Group By Operator [GBY_400] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
+ Top N Key Operator [TNK_399] (rows=5151 width=212)
+ keys:_col0,sort order:+,top n:100
+ Group By Operator [GBY_398] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 12 [SIMPLE_EDGE]
+ SHUFFLE [RS_106]
+ PartitionCols:_col0
+ Group By Operator [GBY_105] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1
+ Merge Join Operator [MERGEJOIN_306] (rows=379339 width=201)
+ Conds:RS_101._col0=RS_102._col2(Inner),Output:["_col1","_col7"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_101]
+ PartitionCols:_col0
+ Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ <-Reducer 26 [SIMPLE_EDGE]
+ SHUFFLE [RS_102]
+ PartitionCols:_col2
+ Select Operator [SEL_97] (rows=788222 width=110)
+ Output:["_col2","_col4"]
+ Merge Join Operator [MERGEJOIN_303] (rows=788222 width=110)
+ Conds:RS_94._col2=RS_352._col0(Inner),Output:["_col1","_col3"]
+ <-Map 28 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_352]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_347]
+ <-Reducer 25 [SIMPLE_EDGE]
+ SHUFFLE [RS_94]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_302] (rows=3941109 width=118)
+ Conds:RS_397._col0=RS_336._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 20 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_336]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_331]
+ <-Map 33 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_397]
+ PartitionCols:_col0
+ Select Operator [SEL_396] (rows=143931246 width=123)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_395] (rows=143931246 width=123)
+ predicate:((ws_bill_addr_sk BETWEEN DynamicValue(RS_95_customer_address_ca_address_sk_min) AND DynamicValue(RS_95_customer_address_ca_address_sk_max) and in_bloom_filter(ws_bill_addr_sk, DynamicValue(RS_95_customer_address_ca_address_sk_bloom_filter))) and (ws_item_sk BETWEEN DynamicValue(RS_101_item_i_item_sk_min) AND DynamicValue(RS_101_item_i_item_sk_max) and in_bloom_filter(ws_item_sk, DynamicValue(RS_101_item_i_item_sk_bloom_filter))) and (ws_sold_date_sk BETWEEN DynamicValue(RS_92_date_dim_d_date_sk_min) AND DynamicValue(RS_92_date_dim_d_date_sk_max) and in_bloom_filter(ws_sold_date_sk, DynamicValue(RS_92_date_dim_d_date_sk_bloom_filter))) and ws_bill_addr_sk is not null and ws_sold_date_sk is not null)
+ TableScan [TS_82] (rows=144002668 width=123)
+ default@web_sales,web_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ws_sold_date_sk","ws_item_sk","ws_bill_addr_sk","ws_ext_sales_price"]
+ <-Reducer 14 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_394]
+ Group By Operator [GBY_393] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 2 [CUSTOM_SIMPLE_EDGE]
+ SHUFFLE [RS_286]
+ Group By Operator [GBY_285] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_284] (rows=34340 width=4)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ <-Reducer 27 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_390]
+ Group By Operator [GBY_389] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_343]
+ Group By Operator [GBY_340] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_337] (rows=50 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_331]
+ <-Reducer 31 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_392]
+ Group By Operator [GBY_391] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"]
+ <-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_359]
+ Group By Operator [GBY_356] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"]
+ Select Operator [SEL_353] (rows=8000000 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_347]
+ <-Reducer 4 [CONTAINS] vectorized
+ Reduce Output Operator [RS_370]
+ PartitionCols:_col0
+ Group By Operator [GBY_369] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(_col1)"],keys:_col0
+ Top N Key Operator [TNK_368] (rows=5151 width=212)
+ keys:_col0,sort order:+,top n:100
+ Group By Operator [GBY_367] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(VALUE._col0)"],keys:KEY._col0
+ <-Reducer 3 [SIMPLE_EDGE]
+ SHUFFLE [RS_33]
+ PartitionCols:_col0
+ Group By Operator [GBY_32] (rows=1717 width=212)
+ Output:["_col0","_col1"],aggregations:["sum(_col7)"],keys:_col1
+ Merge Join Operator [MERGEJOIN_304] (rows=1384530 width=100)
+ Conds:RS_28._col0=RS_29._col2(Inner),Output:["_col1","_col7"]
+ <-Reducer 2 [SIMPLE_EDGE]
+ SHUFFLE [RS_28]
+ PartitionCols:_col0
+ Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+ <-Reducer 19 [SIMPLE_EDGE]
+ SHUFFLE [RS_29]
+ PartitionCols:_col2
+ Select Operator [SEL_24] (rows=2876890 width=4)
+ Output:["_col2","_col4"]
+ Merge Join Operator [MERGEJOIN_297] (rows=2876890 width=4)
+ Conds:RS_21._col2=RS_348._col0(Inner),Output:["_col1","_col3"]
+ <-Map 28 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_348]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_347]
+ <-Reducer 18 [SIMPLE_EDGE]
+ SHUFFLE [RS_21]
+ PartitionCols:_col2
+ Merge Join Operator [MERGEJOIN_296] (rows=14384447 width=4)
+ Conds:RS_366._col0=RS_332._col0(Inner),Output:["_col1","_col2","_col3"]
+ <-Map 20 [SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_332]
+ PartitionCols:_col0
+ Please refer to the previous Select Operator [SEL_331]
+ <-Map 17 [SIMPLE_EDGE] vectorized
+ SHUFFLE [RS_366]
+ PartitionCols:_col0
+ Select Operator [SEL_365] (rows=525327191 width=118)
+ Output:["_col0","_col1","_col2","_col3"]
+ Filter Operator [FIL_364] (rows=525327191 width=118)
+ predicate:((ss_addr_sk BETWEEN DynamicValue(RS_22_customer_address_ca_address_sk_min) AND DynamicValue(RS_22_customer_address_ca_address_sk_max) and in_bloom_filter(ss_addr_sk, DynamicValue(RS_22_customer_address_ca_address_sk_bloom_filter))) and (ss_item_sk BETWEEN DynamicValue(RS_28_item_i_item_sk_min) AND DynamicValue(RS_28_item_i_item_sk_max) and in_bloom_filter(ss_item_sk, DynamicValue(RS_28_item_i_item_sk_bloom_filter))) and (ss_sold_date_sk BETWEEN DynamicValue(RS_19_date_dim_d_date_sk_min) AND DynamicValue(RS_19_date_dim_d_date_sk_max) and in_bloom_filter(ss_sold_date_sk, DynamicValue(RS_19_date_dim_d_date_sk_bloom_filter))) and ss_addr_sk is not null and ss_sold_date_sk is not null)
+ TableScan [TS_9] (rows=575995635 width=118)
+ default@store_sales,store_sales,Tbl:COMPLETE,Col:COMPLETE,Output:["ss_sold_date_sk","ss_item_sk","ss_addr_sk","ss_ext_sales_price"]
+ <-Reducer 21 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_345]
+ Group By Operator [GBY_344] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Map 20 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_341]
+ Group By Operator [GBY_338] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_333] (rows=50 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_331]
+ <-Reducer 29 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_361]
+ Group By Operator [GBY_360] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=8000000)"]
+ <-Map 28 [CUSTOM_SIMPLE_EDGE] vectorized
+ PARTITION_ONLY_SHUFFLE [RS_357]
+ Group By Operator [GBY_354] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=8000000)"]
+ Select Operator [SEL_349] (rows=8000000 width=4)
+ Output:["_col0"]
+ Please refer to the previous Select Operator [SEL_347]
+ <-Reducer 8 [BROADCAST_EDGE] vectorized
+ BROADCAST [RS_363]
+ Group By Operator [GBY_362] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(VALUE._col0)","max(VALUE._col1)","bloom_filter(VALUE._col2, expectedEntries=1000000)"]
+ <-Reducer 2 [CUSTOM_SIMPLE_EDGE]
+ SHUFFLE [RS_204]
+ Group By Operator [GBY_203] (rows=1 width=12)
+ Output:["_col0","_col1","_col2"],aggregations:["min(_col0)","max(_col0)","bloom_filter(_col0, expectedEntries=1000000)"]
+ Select Operator [SEL_202] (rows=34340 width=4)
+ Output:["_col0"]
+ Please refer to the previous Merge Join Operator [MERGEJOIN_295]
+