http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query19.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query19.q.out b/ql/src/test/results/clientpositive/perf/spark/query19.q.out new file mode 100644 index 0000000..6a70ddc --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query19.q.out @@ -0,0 +1,306 @@ +PREHOOK: query: explain +select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact, + sum(ss_ext_sales_price) ext_price + from date_dim, store_sales, item,customer,customer_address,store + where d_date_sk = ss_sold_date_sk + and ss_item_sk = i_item_sk + and i_manager_id=7 + and d_moy=11 + and d_year=1999 + and ss_customer_sk = c_customer_sk + and c_current_addr_sk = ca_address_sk + and substr(ca_zip,1,5) <> substr(s_zip,1,5) + and ss_store_sk = s_store_sk + group by i_brand + ,i_brand_id + ,i_manufact_id + ,i_manufact + order by ext_price desc + ,i_brand + ,i_brand_id + ,i_manufact_id + ,i_manufact +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select i_brand_id brand_id, i_brand brand, i_manufact_id, i_manufact, + sum(ss_ext_sales_price) ext_price + from date_dim, store_sales, item,customer,customer_address,store + where d_date_sk = ss_sold_date_sk + and ss_item_sk = i_item_sk + and i_manager_id=7 + and d_moy=11 + and d_year=1999 + and ss_customer_sk = c_customer_sk + and c_current_addr_sk = ca_address_sk + and substr(ca_zip,1,5) <> substr(s_zip,1,5) + and ss_store_sk = s_store_sk + group by i_brand + ,i_brand_id + ,i_manufact_id + ,i_manufact + order by ext_price desc + ,i_brand + ,i_brand_id + ,i_manufact_id + ,i_manufact +limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-1 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark +#### A masked pattern was here #### + Vertices: + Map 12 + Map Operator Tree: + TableScan + alias: store + Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: s_store_sk is not null (type: boolean) + Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: s_store_sk (type: int), s_zip (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col7 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 855), Map 6 (PARTITION-LEVEL SORT, 855) + Reducer 3 <- Reducer 2 (PARTITION-LEVEL SORT, 1009), Reducer 9 (PARTITION-LEVEL SORT, 1009) + Reducer 4 <- Reducer 3 (GROUP, 582) + Reducer 5 <- Reducer 4 (SORT, 1) + Reducer 8 <- Map 10 (PARTITION-LEVEL SORT, 398), Map 7 (PARTITION-LEVEL SORT, 398) + Reducer 9 <- Map 11 (PARTITION-LEVEL SORT, 440), Reducer 8 (PARTITION-LEVEL SORT, 440) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: customer + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (c_current_addr_sk is not null and c_customer_sk is not null) (type: boolean) + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: c_customer_sk (type: int), c_current_addr_sk (type: int) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 80000000 Data size: 68801615852 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: int) + Map 10 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((d_moy = 11) and (d_year = 1999) and d_date_sk is not null) (type: boolean) + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 18262 Data size: 20435178 Basic stats: COMPLETE Column stats: NONE + Map 11 + Map Operator Tree: + TableScan + alias: item + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((i_manager_id = 7) and i_item_sk is not null) (type: boolean) + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_sk (type: int), i_brand_id (type: int), i_brand (type: string), i_manufact_id (type: int), i_manufact (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: string), _col3 (type: int), _col4 (type: string) + Map 6 + Map Operator Tree: + TableScan + alias: customer_address + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ca_address_sk is not null (type: boolean) + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ca_address_sk (type: int), ca_zip (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 40000000 Data size: 40595195284 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Map 7 + Map Operator Tree: + TableScan + alias: store_sales + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (ss_customer_sk is not null and ss_item_sk is not null and ss_sold_date_sk is not null and ss_store_sk is not null) (type: boolean) + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ss_sold_date_sk (type: int), ss_item_sk (type: int), ss_customer_sk (type: int), ss_store_sk (type: int), ss_ext_sales_price (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2)) + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col3 + Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 88000001 Data size: 75681779077 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: string) + Reducer 3 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col2 (type: int) + outputColumnNames: _col3, _col7, _col8, _col13, _col14, _col15, _col16 + Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col7 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col3, _col8, _col13, _col14, _col15, _col16, _col19 + input vertices: + 1 Map 12 + Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (substr(_col3, 1, 5) <> substr(_col19, 1, 5)) (type: boolean) + Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col8 (type: decimal(7,2)), _col13 (type: int), _col14 (type: string), _col15 (type: int), _col16 (type: string) + outputColumnNames: _col8, _col13, _col14, _col15, _col16 + Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col8) + keys: _col14 (type: string), _col13 (type: int), _col15 (type: int), _col16 (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: string) + sort order: ++++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: int), _col3 (type: string) + Statistics: Num rows: 843315281 Data size: 74397518956 Basic stats: COMPLETE Column stats: NONE + value expressions: _col4 (type: decimal(17,2)) + Reducer 4 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: int), KEY._col3 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: int), _col0 (type: string), _col2 (type: int), _col3 (type: string), _col4 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col4 (type: decimal(17,2)), _col1 (type: string), _col0 (type: int), _col2 (type: int), _col3 (type: string) + sort order: -++++ + Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + Reducer 5 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey2 (type: int), KEY.reducesinkkey1 (type: string), KEY.reducesinkkey3 (type: int), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey0 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 421657640 Data size: 37198759433 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 8800 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + Reducer 8 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2, _col3, _col4 + Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: int), _col3 (type: int), _col4 (type: decimal(7,2)) + Reducer 9 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col2, _col3, _col4, _col9, _col10, _col11, _col12 + Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col2 (type: int) + sort order: + + Map-reduce partition columns: _col2 (type: int) + Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: int), _col4 (type: decimal(7,2)), _col9 (type: int), _col10 (type: string), _col11 (type: int), _col12 (type: string) + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink +
http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query2.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query2.q.out b/ql/src/test/results/clientpositive/perf/spark/query2.q.out new file mode 100644 index 0000000..7337c10 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query2.q.out @@ -0,0 +1,429 @@ +PREHOOK: query: explain +with wscs as + (select sold_date_sk + ,sales_price + from (select ws_sold_date_sk sold_date_sk + ,ws_ext_sales_price sales_price + from web_sales) x + union all + (select cs_sold_date_sk sold_date_sk + ,cs_ext_sales_price sales_price + from catalog_sales)), + wswscs as + (select d_week_seq, + sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales, + sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales, + sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales, + sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales, + sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales, + sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales, + sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales + from wscs + ,date_dim + where d_date_sk = sold_date_sk + group by d_week_seq) + select d_week_seq1 + ,round(sun_sales1/sun_sales2,2) + ,round(mon_sales1/mon_sales2,2) + ,round(tue_sales1/tue_sales2,2) + ,round(wed_sales1/wed_sales2,2) + ,round(thu_sales1/thu_sales2,2) + ,round(fri_sales1/fri_sales2,2) + ,round(sat_sales1/sat_sales2,2) + from + (select wswscs.d_week_seq d_week_seq1 + ,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 wswscs,date_dim + where date_dim.d_week_seq = wswscs.d_week_seq and + d_year = 2001) y, + (select wswscs.d_week_seq d_week_seq2 + ,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 wswscs + ,date_dim + where date_dim.d_week_seq = wswscs.d_week_seq and + d_year = 2001+1) z + where d_week_seq1=d_week_seq2-53 + order by d_week_seq1 +PREHOOK: type: QUERY +POSTHOOK: query: explain +with wscs as + (select sold_date_sk + ,sales_price + from (select ws_sold_date_sk sold_date_sk + ,ws_ext_sales_price sales_price + from web_sales) x + union all + (select cs_sold_date_sk sold_date_sk + ,cs_ext_sales_price sales_price + from catalog_sales)), + wswscs as + (select d_week_seq, + sum(case when (d_day_name='Sunday') then sales_price else null end) sun_sales, + sum(case when (d_day_name='Monday') then sales_price else null end) mon_sales, + sum(case when (d_day_name='Tuesday') then sales_price else null end) tue_sales, + sum(case when (d_day_name='Wednesday') then sales_price else null end) wed_sales, + sum(case when (d_day_name='Thursday') then sales_price else null end) thu_sales, + sum(case when (d_day_name='Friday') then sales_price else null end) fri_sales, + sum(case when (d_day_name='Saturday') then sales_price else null end) sat_sales + from wscs + ,date_dim + where d_date_sk = sold_date_sk + group by d_week_seq) + select d_week_seq1 + ,round(sun_sales1/sun_sales2,2) + ,round(mon_sales1/mon_sales2,2) + ,round(tue_sales1/tue_sales2,2) + ,round(wed_sales1/wed_sales2,2) + ,round(thu_sales1/thu_sales2,2) + ,round(fri_sales1/fri_sales2,2) + ,round(sat_sales1/sat_sales2,2) + from + (select wswscs.d_week_seq d_week_seq1 + ,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 wswscs,date_dim + where date_dim.d_week_seq = wswscs.d_week_seq and + d_year = 2001) y, + (select wswscs.d_week_seq d_week_seq2 + ,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 wswscs + ,date_dim + where date_dim.d_week_seq = wswscs.d_week_seq and + d_year = 2001+1) z + where d_week_seq1=d_week_seq2-53 + order by d_week_seq1 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-1 is a root stage + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-1 + Spark + Edges: + Reducer 11 <- Map 10 (PARTITION-LEVEL SORT, 459), Map 14 (PARTITION-LEVEL SORT, 459), Map 15 (PARTITION-LEVEL SORT, 459) + Reducer 12 <- Reducer 11 (GROUP, 504) + Reducer 13 <- Map 16 (PARTITION-LEVEL SORT, 253), Reducer 12 (PARTITION-LEVEL SORT, 253) + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 459), Map 7 (PARTITION-LEVEL SORT, 459), Map 8 (PARTITION-LEVEL SORT, 459) + Reducer 3 <- Reducer 2 (GROUP, 504) + Reducer 4 <- Map 9 (PARTITION-LEVEL SORT, 253), Reducer 3 (PARTITION-LEVEL SORT, 253) + Reducer 5 <- Reducer 13 (PARTITION-LEVEL SORT, 554), Reducer 4 (PARTITION-LEVEL SORT, 554) + Reducer 6 <- Reducer 5 (SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: web_sales + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ws_sold_date_sk is not null (type: boolean) + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ws_sold_date_sk (type: int), ws_ext_sales_price (type: decimal(7,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(7,2)) + Map 10 + Map Operator Tree: + TableScan + alias: web_sales + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ws_sold_date_sk is not null (type: boolean) + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: ws_sold_date_sk (type: int), ws_ext_sales_price (type: decimal(7,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(7,2)) + Map 14 + Map Operator Tree: + TableScan + alias: catalog_sales + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cs_sold_date_sk is not null (type: boolean) + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cs_sold_date_sk (type: int), cs_ext_sales_price (type: decimal(7,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(7,2)) + Map 15 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (d_date_sk is not null and d_week_seq is not null) (type: boolean) + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int), d_week_seq (type: int), d_day_name (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: string) + Map 16 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((d_year = 2002) and d_week_seq is not null) (type: boolean) + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_week_seq (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + Map 7 + Map Operator Tree: + TableScan + alias: catalog_sales + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: cs_sold_date_sk is not null (type: boolean) + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cs_sold_date_sk (type: int), cs_ext_sales_price (type: decimal(7,2)) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 431992504 Data size: 58579807164 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(7,2)) + Map 8 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (d_date_sk is not null and d_week_seq is not null) (type: boolean) + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int), d_week_seq (type: int), d_day_name (type: string) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: int), _col2 (type: string) + Map 9 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((d_year = 2001) and d_week_seq is not null) (type: boolean) + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_week_seq (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 36524 Data size: 40870356 Basic stats: COMPLETE Column stats: NONE + Reducer 11 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col3, _col4 + Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col3 (type: int), CASE WHEN ((_col4 = 'Sunday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Monday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Tuesday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Wednesday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Thursday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Friday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Saturday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col1), sum(_col2), sum(_col3), sum(_col4), sum(_col5), sum(_col6), sum(_col7) + keys: _col0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)) + Reducer 12 + Reduce Operator Tree: + Group By Operator + 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 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 237595882 Data size: 32218894638 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 237595882 Data size: 32218894638 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)) + Reducer 13 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 261355475 Data size: 35440784869 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: (_col0 - 53) (type: int) + sort order: + + Map-reduce partition columns: (_col0 - 53) (type: int) + Statistics: Num rows: 261355475 Data size: 35440784869 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)) + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col3, _col4 + Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col3 (type: int), CASE WHEN ((_col4 = 'Sunday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Monday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Tuesday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Wednesday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Thursday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Friday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)), CASE WHEN ((_col4 = 'Saturday')) THEN (_col1) ELSE (null) END (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col1), sum(_col2), sum(_col3), sum(_col4), sum(_col5), sum(_col6), sum(_col7) + keys: _col0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 475191764 Data size: 64437789277 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)) + Reducer 3 + Reduce Operator Tree: + Group By Operator + 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 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 237595882 Data size: 32218894638 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 237595882 Data size: 32218894638 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)) + Reducer 4 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 261355475 Data size: 35440784869 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 261355475 Data size: 35440784869 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), _col3 (type: decimal(17,2)), _col4 (type: decimal(17,2)), _col5 (type: decimal(17,2)), _col6 (type: decimal(17,2)), _col7 (type: decimal(17,2)) + Reducer 5 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 (_col0 - 53) (type: int) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col9, _col10, _col11, _col12, _col13, _col14, _col15 + Statistics: Num rows: 287491028 Data size: 38984864200 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col0 (type: int), round((_col1 / _col9), 2) (type: decimal(20,2)), round((_col2 / _col10), 2) (type: decimal(20,2)), round((_col3 / _col11), 2) (type: decimal(20,2)), round((_col4 / _col12), 2) (type: decimal(20,2)), round((_col5 / _col13), 2) (type: decimal(20,2)), round((_col6 / _col14), 2) (type: decimal(20,2)), round((_col7 / _col15), 2) (type: decimal(20,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 287491028 Data size: 38984864200 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Statistics: Num rows: 287491028 Data size: 38984864200 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: decimal(20,2)), _col2 (type: decimal(20,2)), _col3 (type: decimal(20,2)), _col4 (type: decimal(20,2)), _col5 (type: decimal(20,2)), _col6 (type: decimal(20,2)), _col7 (type: decimal(20,2)) + Reducer 6 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: int), VALUE._col0 (type: decimal(20,2)), VALUE._col1 (type: decimal(20,2)), VALUE._col2 (type: decimal(20,2)), VALUE._col3 (type: decimal(20,2)), VALUE._col4 (type: decimal(20,2)), VALUE._col5 (type: decimal(20,2)), VALUE._col6 (type: decimal(20,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7 + Statistics: Num rows: 287491028 Data size: 38984864200 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 287491028 Data size: 38984864200 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query20.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query20.q.out b/ql/src/test/results/clientpositive/perf/spark/query20.q.out new file mode 100644 index 0000000..ab1b24d --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query20.q.out @@ -0,0 +1,241 @@ +PREHOOK: query: explain +select i_item_desc + ,i_category + ,i_class + ,i_current_price + ,sum(cs_ext_sales_price) as itemrevenue + ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over + (partition by i_class) as revenueratio + from catalog_sales + ,item + ,date_dim + where cs_item_sk = i_item_sk + and i_category in ('Jewelry', 'Sports', 'Books') + and cs_sold_date_sk = d_date_sk + and d_date between cast('2001-01-12' as date) + and (cast('2001-01-12' as date) + 30 days) + group by i_item_id + ,i_item_desc + ,i_category + ,i_class + ,i_current_price + order by i_category + ,i_class + ,i_item_id + ,i_item_desc + ,revenueratio +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select i_item_desc + ,i_category + ,i_class + ,i_current_price + ,sum(cs_ext_sales_price) as itemrevenue + ,sum(cs_ext_sales_price)*100/sum(sum(cs_ext_sales_price)) over + (partition by i_class) as revenueratio + from catalog_sales + ,item + ,date_dim + where cs_item_sk = i_item_sk + and i_category in ('Jewelry', 'Sports', 'Books') + and cs_sold_date_sk = d_date_sk + and d_date between cast('2001-01-12' as date) + and (cast('2001-01-12' as date) + 30 days) + group by i_item_id + ,i_item_desc + ,i_category + ,i_class + ,i_current_price + order by i_category + ,i_class + ,i_item_id + ,i_item_desc + ,revenueratio +limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-1 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark +#### A masked pattern was here #### + Vertices: + Map 6 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (CAST( d_date AS TIMESTAMP) BETWEEN 2001-01-12 00:00:00.0 AND 2001-02-11 00:00:00.0 and d_date_sk is not null) (type: boolean) + Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 338), Map 7 (PARTITION-LEVEL SORT, 338) + Reducer 3 <- Reducer 2 (GROUP, 369) + Reducer 4 <- Reducer 3 (PARTITION-LEVEL SORT, 185) + Reducer 5 <- Reducer 4 (SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: catalog_sales + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (cs_item_sk is not null and cs_sold_date_sk is not null) (type: boolean) + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: cs_sold_date_sk (type: int), cs_item_sk (type: int), cs_ext_sales_price (type: decimal(7,2)) + outputColumnNames: _col0, _col1, _col2 + Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2 + input vertices: + 1 Map 6 + Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 316788826 Data size: 42899570777 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: decimal(7,2)) + Local Work: + Map Reduce Local Work + Map 7 + Map Operator Tree: + TableScan + alias: item + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: ((i_category) IN ('Jewelry', 'Sports', 'Books') and i_item_sk is not null) (type: boolean) + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_sk (type: int), i_item_id (type: string), i_item_desc (type: string), i_current_price (type: decimal(7,2)), i_class (type: string), i_category (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 231000 Data size: 331780228 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: decimal(7,2)), _col4 (type: string), _col5 (type: string) + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col2, _col6, _col7, _col8, _col9, _col10 + Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col2) + keys: _col10 (type: string), _col9 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: decimal(7,2)) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: decimal(7,2)) + sort order: +++++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: decimal(7,2)) + Statistics: Num rows: 348467716 Data size: 47189528877 Basic stats: COMPLETE Column stats: NONE + value expressions: _col5 (type: decimal(17,2)) + Reducer 3 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: decimal(7,2)) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col2 (type: string), _col3 (type: string), _col0 (type: string), _col1 (type: string), _col4 (type: decimal(7,2)), _col5 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col3 (type: string) + sort order: + + Map-reduce partition columns: _col3 (type: string) + Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE + value expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col4 (type: decimal(7,2)), _col5 (type: decimal(17,2)) + Reducer 4 + Reduce Operator Tree: + Select Operator + expressions: VALUE._col0 (type: string), VALUE._col1 (type: string), VALUE._col2 (type: string), KEY.reducesinkkey0 (type: string), VALUE._col3 (type: decimal(7,2)), VALUE._col4 (type: decimal(17,2)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE + PTF Operator + Function definitions: + Input definition + input alias: ptf_0 + output shape: _col0: string, _col1: string, _col2: string, _col3: string, _col4: decimal(7,2), _col5: decimal(17,2) + type: WINDOWING + Windowing table definition + input alias: ptf_1 + name: windowingtablefunction + order by: _col3 ASC NULLS FIRST + partition by: _col3 + raw input shape: + window functions: + window function definition + alias: sum_window_0 + arguments: _col5 + name: sum + window function: GenericUDAFSumHiveDecimal + window frame: ROWS PRECEDING(MAX)~FOLLOWING(MAX) + Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: decimal(7,2)), _col5 (type: decimal(17,2)), ((_col5 * 100) / sum_window_0) (type: decimal(38,17)), _col0 (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6 + Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: string), _col2 (type: string), _col6 (type: string), _col0 (type: string), _col5 (type: decimal(38,17)) + sort order: +++++ + Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col3 (type: decimal(7,2)), _col4 (type: decimal(17,2)) + Reducer 5 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey3 (type: string), KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(7,2)), VALUE._col1 (type: decimal(17,2)), KEY.reducesinkkey4 (type: decimal(38,17)) + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 174233858 Data size: 23594764438 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 13500 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: -1 + Processor Tree: + ListSink + http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query21.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query21.q.out b/ql/src/test/results/clientpositive/perf/spark/query21.q.out new file mode 100644 index 0000000..0e9959c --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query21.q.out @@ -0,0 +1,245 @@ +PREHOOK: query: explain +select * + from(select w_warehouse_name + ,i_item_id + ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date)) + then inv_quantity_on_hand + else 0 end) as inv_before + ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date)) + then inv_quantity_on_hand + else 0 end) as inv_after + from inventory + ,warehouse + ,item + ,date_dim + where i_current_price between 0.99 and 1.49 + and i_item_sk = inv_item_sk + and inv_warehouse_sk = w_warehouse_sk + and inv_date_sk = d_date_sk + and d_date between (cast ('1998-04-08' as date) - 30 days) + and (cast ('1998-04-08' as date) + 30 days) + group by w_warehouse_name, i_item_id) x + where (case when inv_before > 0 + then inv_after / inv_before + else null + end) between 2.0/3.0 and 3.0/2.0 + order by w_warehouse_name + ,i_item_id + limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select * + from(select w_warehouse_name + ,i_item_id + ,sum(case when (cast(d_date as date) < cast ('1998-04-08' as date)) + then inv_quantity_on_hand + else 0 end) as inv_before + ,sum(case when (cast(d_date as date) >= cast ('1998-04-08' as date)) + then inv_quantity_on_hand + else 0 end) as inv_after + from inventory + ,warehouse + ,item + ,date_dim + where i_current_price between 0.99 and 1.49 + and i_item_sk = inv_item_sk + and inv_warehouse_sk = w_warehouse_sk + and inv_date_sk = d_date_sk + and d_date between (cast ('1998-04-08' as date) - 30 days) + and (cast ('1998-04-08' as date) + 30 days) + group by w_warehouse_name, i_item_id) x + where (case when inv_before > 0 + then inv_after / inv_before + else null + end) between 2.0/3.0 and 3.0/2.0 + order by w_warehouse_name + ,i_item_id + limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-3 depends on stages: Stage-2 + Stage-1 depends on stages: Stage-3 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark +#### A masked pattern was here #### + Vertices: + Map 7 + Map Operator Tree: + TableScan + alias: warehouse + Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: w_warehouse_sk is not null (type: boolean) + Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: w_warehouse_sk (type: int), w_warehouse_name (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-3 + Spark +#### A masked pattern was here #### + Vertices: + Map 5 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (CAST( d_date AS TIMESTAMP) BETWEEN 1998-03-08 23:00:00.0 AND 1998-05-08 00:00:00.0 and d_date_sk is not null) (type: boolean) + Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int), d_date (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 6), Map 6 (PARTITION-LEVEL SORT, 6) + Reducer 3 <- Reducer 2 (GROUP, 7) + Reducer 4 <- Reducer 3 (SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: inventory + Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) (type: boolean) + Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: inv_date_sk (type: int), inv_item_sk (type: int), inv_warehouse_sk (type: int), inv_quantity_on_hand (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2, _col3, _col5 + input vertices: + 1 Map 5 + Statistics: Num rows: 41342400 Data size: 653203228 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 41342400 Data size: 653203228 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: int), _col3 (type: int), _col5 (type: string) + Local Work: + Map Reduce Local Work + Map 6 + Map Operator Tree: + TableScan + alias: item + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (i_current_price BETWEEN 0.99 AND 1.49 and i_item_sk is not null) (type: boolean) + Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_sk (type: int), i_item_id (type: string) + outputColumnNames: _col0, _col1 + Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 51333 Data size: 73728460 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string) + Reducer 2 + Local Work: + Map Reduce Local Work + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col2, _col3, _col5, _col7 + Statistics: Num rows: 45476640 Data size: 718523566 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col3, _col5, _col7, _col10 + input vertices: + 1 Map 7 + Statistics: Num rows: 50024305 Data size: 790375939 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: _col10 (type: string), _col7 (type: string), CASE WHEN ((CAST( _col5 AS DATE) < 1998-04-08)) THEN (_col3) ELSE (0) END (type: int), CASE WHEN ((CAST( _col5 AS DATE) >= 1998-04-08)) THEN (_col3) ELSE (0) END (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 50024305 Data size: 790375939 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: sum(_col2), sum(_col3) + keys: _col0 (type: string), _col1 (type: string) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 50024305 Data size: 790375939 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string) + Statistics: Num rows: 50024305 Data size: 790375939 Basic stats: COMPLETE Column stats: NONE + value expressions: _col2 (type: bigint), _col3 (type: bigint) + Reducer 3 + Reduce Operator Tree: + Group By Operator + aggregations: sum(VALUE._col0), sum(VALUE._col1) + keys: KEY._col0 (type: string), KEY._col1 (type: string) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 25012152 Data size: 395187961 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: CASE WHEN ((_col2 > 0)) THEN ((UDFToDouble(_col3) / UDFToDouble(_col2)) BETWEEN 0.6666666666666666 AND 1.5) ELSE (null) END (type: boolean) + Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string) + sort order: ++ + Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + value expressions: _col2 (type: bigint), _col3 (type: bigint) + Reducer 4 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 12506076 Data size: 197593980 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1500 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1500 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink + http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query22.q.out ---------------------------------------------------------------------- diff --git a/ql/src/test/results/clientpositive/perf/spark/query22.q.out b/ql/src/test/results/clientpositive/perf/spark/query22.q.out new file mode 100644 index 0000000..15fe441 --- /dev/null +++ b/ql/src/test/results/clientpositive/perf/spark/query22.q.out @@ -0,0 +1,218 @@ +PREHOOK: query: explain +select i_product_name + ,i_brand + ,i_class + ,i_category + ,avg(inv_quantity_on_hand) qoh + from inventory + ,date_dim + ,item + ,warehouse + where inv_date_sk=d_date_sk + and inv_item_sk=i_item_sk + and inv_warehouse_sk = w_warehouse_sk + and d_month_seq between 1212 and 1212 + 11 + group by rollup(i_product_name + ,i_brand + ,i_class + ,i_category) +order by qoh, i_product_name, i_brand, i_class, i_category +limit 100 +PREHOOK: type: QUERY +POSTHOOK: query: explain +select i_product_name + ,i_brand + ,i_class + ,i_category + ,avg(inv_quantity_on_hand) qoh + from inventory + ,date_dim + ,item + ,warehouse + where inv_date_sk=d_date_sk + and inv_item_sk=i_item_sk + and inv_warehouse_sk = w_warehouse_sk + and d_month_seq between 1212 and 1212 + 11 + group by rollup(i_product_name + ,i_brand + ,i_class + ,i_category) +order by qoh, i_product_name, i_brand, i_class, i_category +limit 100 +POSTHOOK: type: QUERY +STAGE DEPENDENCIES: + Stage-2 is a root stage + Stage-1 depends on stages: Stage-2 + Stage-0 depends on stages: Stage-1 + +STAGE PLANS: + Stage: Stage-2 + Spark +#### A masked pattern was here #### + Vertices: + Map 5 + Map Operator Tree: + TableScan + alias: date_dim + Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (d_date_sk is not null and d_month_seq BETWEEN 1212 AND 1223) (type: boolean) + Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: d_date_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + Map 6 + Map Operator Tree: + TableScan + alias: warehouse + Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: w_warehouse_sk is not null (type: boolean) + Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: w_warehouse_sk (type: int) + outputColumnNames: _col0 + Statistics: Num rows: 27 Data size: 27802 Basic stats: COMPLETE Column stats: NONE + Spark HashTable Sink Operator + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + Local Work: + Map Reduce Local Work + + Stage: Stage-1 + Spark + Edges: + Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 11), Map 7 (PARTITION-LEVEL SORT, 11) + Reducer 3 <- Reducer 2 (GROUP, 31) + Reducer 4 <- Reducer 3 (SORT, 1) +#### A masked pattern was here #### + Vertices: + Map 1 + Map Operator Tree: + TableScan + alias: inventory + Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: (inv_date_sk is not null and inv_item_sk is not null and inv_warehouse_sk is not null) (type: boolean) + Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: inv_date_sk (type: int), inv_item_sk (type: int), inv_warehouse_sk (type: int), inv_quantity_on_hand (type: int) + outputColumnNames: _col0, _col1, _col2, _col3 + Statistics: Num rows: 37584000 Data size: 593821104 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col0 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col2, _col3 + input vertices: + 1 Map 5 + Statistics: Num rows: 41342400 Data size: 653203228 Basic stats: COMPLETE Column stats: NONE + Map Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col2 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col1, _col3 + input vertices: + 1 Map 6 + Statistics: Num rows: 45476640 Data size: 718523566 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col1 (type: int) + sort order: + + Map-reduce partition columns: _col1 (type: int) + Statistics: Num rows: 45476640 Data size: 718523566 Basic stats: COMPLETE Column stats: NONE + value expressions: _col3 (type: int) + Local Work: + Map Reduce Local Work + Map 7 + Map Operator Tree: + TableScan + alias: item + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Filter Operator + predicate: i_item_sk is not null (type: boolean) + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Select Operator + expressions: i_item_sk (type: int), i_brand (type: string), i_class (type: string), i_category (type: string), i_product_name (type: string) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: int) + sort order: + + Map-reduce partition columns: _col0 (type: int) + Statistics: Num rows: 462000 Data size: 663560457 Basic stats: COMPLETE Column stats: NONE + value expressions: _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: string) + Reducer 2 + Reduce Operator Tree: + Join Operator + condition map: + Inner Join 0 to 1 + keys: + 0 _col1 (type: int) + 1 _col0 (type: int) + outputColumnNames: _col3, _col8, _col9, _col10, _col11 + Statistics: Num rows: 50024305 Data size: 790375939 Basic stats: COMPLETE Column stats: NONE + Group By Operator + aggregations: avg(_col3) + keys: _col8 (type: string), _col9 (type: string), _col10 (type: string), _col11 (type: string), 0 (type: int) + mode: hash + outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5 + Statistics: Num rows: 250121525 Data size: 3951879695 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int) + sort order: +++++ + Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string), _col4 (type: int) + Statistics: Num rows: 250121525 Data size: 3951879695 Basic stats: COMPLETE Column stats: NONE + value expressions: _col5 (type: struct<count:bigint,sum:double,input:int>) + Reducer 3 + Reduce Operator Tree: + Group By Operator + aggregations: avg(VALUE._col0) + keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: int) + mode: mergepartial + outputColumnNames: _col0, _col1, _col2, _col3, _col5 + Statistics: Num rows: 125060762 Data size: 1975939839 Basic stats: COMPLETE Column stats: NONE + pruneGroupingSetId: true + Select Operator + expressions: _col3 (type: string), _col0 (type: string), _col1 (type: string), _col2 (type: string), _col5 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 125060762 Data size: 1975939839 Basic stats: COMPLETE Column stats: NONE + Reduce Output Operator + key expressions: _col4 (type: double), _col0 (type: string), _col1 (type: string), _col2 (type: string), _col3 (type: string) + sort order: +++++ + Statistics: Num rows: 125060762 Data size: 1975939839 Basic stats: COMPLETE Column stats: NONE + TopN Hash Memory Usage: 0.1 + Reducer 4 + Reduce Operator Tree: + Select Operator + expressions: KEY.reducesinkkey1 (type: string), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey0 (type: double) + outputColumnNames: _col0, _col1, _col2, _col3, _col4 + Statistics: Num rows: 125060762 Data size: 1975939839 Basic stats: COMPLETE Column stats: NONE + Limit + Number of rows: 100 + Statistics: Num rows: 100 Data size: 1500 Basic stats: COMPLETE Column stats: NONE + File Output Operator + compressed: false + Statistics: Num rows: 100 Data size: 1500 Basic stats: COMPLETE Column stats: NONE + table: + input format: org.apache.hadoop.mapred.SequenceFileInputFormat + output format: org.apache.hadoop.hive.ql.io.HiveSequenceFileOutputFormat + serde: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe + + Stage: Stage-0 + Fetch Operator + limit: 100 + Processor Tree: + ListSink +
