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Posted to commits@hive.apache.org by se...@apache.org on 2017/09/29 03:36:15 UTC
[24/48] hive git commit: HIVE-17543: Enable PerfCliDriver for HoS
(Sahil Takiar, reviewed by Peter Vary)
http://git-wip-us.apache.org/repos/asf/hive/blob/bd371246/ql/src/test/results/clientpositive/perf/spark/query5.q.out
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diff --git a/ql/src/test/results/clientpositive/perf/spark/query5.q.out b/ql/src/test/results/clientpositive/perf/spark/query5.q.out
new file mode 100644
index 0000000..14e0bdb
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/spark/query5.q.out
@@ -0,0 +1,740 @@
+PREHOOK: query: explain
+with ssr as
+ (select s_store_id,
+ sum(sales_price) as sales,
+ sum(profit) as profit,
+ sum(return_amt) as returns,
+ sum(net_loss) as profit_loss
+ from
+ ( select ss_store_sk as store_sk,
+ ss_sold_date_sk as date_sk,
+ ss_ext_sales_price as sales_price,
+ ss_net_profit as profit,
+ cast(0 as decimal(7,2)) as return_amt,
+ cast(0 as decimal(7,2)) as net_loss
+ from store_sales
+ union all
+ select sr_store_sk as store_sk,
+ sr_returned_date_sk as date_sk,
+ cast(0 as decimal(7,2)) as sales_price,
+ cast(0 as decimal(7,2)) as profit,
+ sr_return_amt as return_amt,
+ sr_net_loss as net_loss
+ from store_returns
+ ) salesreturns,
+ date_dim,
+ store
+ where date_sk = d_date_sk
+ and d_date between cast('1998-08-04' as date)
+ and (cast('1998-08-04' as date) + 14 days)
+ and store_sk = s_store_sk
+ group by s_store_id)
+ ,
+ csr as
+ (select cp_catalog_page_id,
+ sum(sales_price) as sales,
+ sum(profit) as profit,
+ sum(return_amt) as returns,
+ sum(net_loss) as profit_loss
+ from
+ ( select cs_catalog_page_sk as page_sk,
+ cs_sold_date_sk as date_sk,
+ cs_ext_sales_price as sales_price,
+ cs_net_profit as profit,
+ cast(0 as decimal(7,2)) as return_amt,
+ cast(0 as decimal(7,2)) as net_loss
+ from catalog_sales
+ union all
+ select cr_catalog_page_sk as page_sk,
+ cr_returned_date_sk as date_sk,
+ cast(0 as decimal(7,2)) as sales_price,
+ cast(0 as decimal(7,2)) as profit,
+ cr_return_amount as return_amt,
+ cr_net_loss as net_loss
+ from catalog_returns
+ ) salesreturns,
+ date_dim,
+ catalog_page
+ where date_sk = d_date_sk
+ and d_date between cast('1998-08-04' as date)
+ and (cast('1998-08-04' as date) + 14 days)
+ and page_sk = cp_catalog_page_sk
+ group by cp_catalog_page_id)
+ ,
+ wsr as
+ (select web_site_id,
+ sum(sales_price) as sales,
+ sum(profit) as profit,
+ sum(return_amt) as returns,
+ sum(net_loss) as profit_loss
+ from
+ ( select ws_web_site_sk as wsr_web_site_sk,
+ ws_sold_date_sk as date_sk,
+ ws_ext_sales_price as sales_price,
+ ws_net_profit as profit,
+ cast(0 as decimal(7,2)) as return_amt,
+ cast(0 as decimal(7,2)) as net_loss
+ from web_sales
+ union all
+ select ws_web_site_sk as wsr_web_site_sk,
+ wr_returned_date_sk as date_sk,
+ cast(0 as decimal(7,2)) as sales_price,
+ cast(0 as decimal(7,2)) as profit,
+ wr_return_amt as return_amt,
+ wr_net_loss as net_loss
+ from web_returns left outer join web_sales on
+ ( wr_item_sk = ws_item_sk
+ and wr_order_number = ws_order_number)
+ ) salesreturns,
+ date_dim,
+ web_site
+ where date_sk = d_date_sk
+ and d_date between cast('1998-08-04' as date)
+ and (cast('1998-08-04' as date) + 14 days)
+ and wsr_web_site_sk = web_site_sk
+ group by web_site_id)
+ select channel
+ , id
+ , sum(sales) as sales
+ , sum(returns) as returns
+ , sum(profit) as profit
+ from
+ (select 'store channel' as channel
+ , 'store' || s_store_id as id
+ , sales
+ , returns
+ , (profit - profit_loss) as profit
+ from ssr
+ union all
+ select 'catalog channel' as channel
+ , 'catalog_page' || cp_catalog_page_id as id
+ , sales
+ , returns
+ , (profit - profit_loss) as profit
+ from csr
+ union all
+ select 'web channel' as channel
+ , 'web_site' || web_site_id as id
+ , sales
+ , returns
+ , (profit - profit_loss) as profit
+ from wsr
+ ) x
+ group by rollup (channel, id)
+ order by channel
+ ,id
+ limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+with ssr as
+ (select s_store_id,
+ sum(sales_price) as sales,
+ sum(profit) as profit,
+ sum(return_amt) as returns,
+ sum(net_loss) as profit_loss
+ from
+ ( select ss_store_sk as store_sk,
+ ss_sold_date_sk as date_sk,
+ ss_ext_sales_price as sales_price,
+ ss_net_profit as profit,
+ cast(0 as decimal(7,2)) as return_amt,
+ cast(0 as decimal(7,2)) as net_loss
+ from store_sales
+ union all
+ select sr_store_sk as store_sk,
+ sr_returned_date_sk as date_sk,
+ cast(0 as decimal(7,2)) as sales_price,
+ cast(0 as decimal(7,2)) as profit,
+ sr_return_amt as return_amt,
+ sr_net_loss as net_loss
+ from store_returns
+ ) salesreturns,
+ date_dim,
+ store
+ where date_sk = d_date_sk
+ and d_date between cast('1998-08-04' as date)
+ and (cast('1998-08-04' as date) + 14 days)
+ and store_sk = s_store_sk
+ group by s_store_id)
+ ,
+ csr as
+ (select cp_catalog_page_id,
+ sum(sales_price) as sales,
+ sum(profit) as profit,
+ sum(return_amt) as returns,
+ sum(net_loss) as profit_loss
+ from
+ ( select cs_catalog_page_sk as page_sk,
+ cs_sold_date_sk as date_sk,
+ cs_ext_sales_price as sales_price,
+ cs_net_profit as profit,
+ cast(0 as decimal(7,2)) as return_amt,
+ cast(0 as decimal(7,2)) as net_loss
+ from catalog_sales
+ union all
+ select cr_catalog_page_sk as page_sk,
+ cr_returned_date_sk as date_sk,
+ cast(0 as decimal(7,2)) as sales_price,
+ cast(0 as decimal(7,2)) as profit,
+ cr_return_amount as return_amt,
+ cr_net_loss as net_loss
+ from catalog_returns
+ ) salesreturns,
+ date_dim,
+ catalog_page
+ where date_sk = d_date_sk
+ and d_date between cast('1998-08-04' as date)
+ and (cast('1998-08-04' as date) + 14 days)
+ and page_sk = cp_catalog_page_sk
+ group by cp_catalog_page_id)
+ ,
+ wsr as
+ (select web_site_id,
+ sum(sales_price) as sales,
+ sum(profit) as profit,
+ sum(return_amt) as returns,
+ sum(net_loss) as profit_loss
+ from
+ ( select ws_web_site_sk as wsr_web_site_sk,
+ ws_sold_date_sk as date_sk,
+ ws_ext_sales_price as sales_price,
+ ws_net_profit as profit,
+ cast(0 as decimal(7,2)) as return_amt,
+ cast(0 as decimal(7,2)) as net_loss
+ from web_sales
+ union all
+ select ws_web_site_sk as wsr_web_site_sk,
+ wr_returned_date_sk as date_sk,
+ cast(0 as decimal(7,2)) as sales_price,
+ cast(0 as decimal(7,2)) as profit,
+ wr_return_amt as return_amt,
+ wr_net_loss as net_loss
+ from web_returns left outer join web_sales on
+ ( wr_item_sk = ws_item_sk
+ and wr_order_number = ws_order_number)
+ ) salesreturns,
+ date_dim,
+ web_site
+ where date_sk = d_date_sk
+ and d_date between cast('1998-08-04' as date)
+ and (cast('1998-08-04' as date) + 14 days)
+ and wsr_web_site_sk = web_site_sk
+ group by web_site_id)
+ select channel
+ , id
+ , sum(sales) as sales
+ , sum(returns) as returns
+ , sum(profit) as profit
+ from
+ (select 'store channel' as channel
+ , 'store' || s_store_id as id
+ , sales
+ , returns
+ , (profit - profit_loss) as profit
+ from ssr
+ union all
+ select 'catalog channel' as channel
+ , 'catalog_page' || cp_catalog_page_id as id
+ , sales
+ , returns
+ , (profit - profit_loss) as profit
+ from csr
+ union all
+ select 'web channel' as channel
+ , 'web_site' || web_site_id as id
+ , sales
+ , returns
+ , (profit - profit_loss) as profit
+ from wsr
+ ) x
+ group by rollup (channel, id)
+ order by channel
+ ,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 8
+ 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_store_id (type: string)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 1704 Data size: 3256276 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-3
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ Map 23
+ Map Operator Tree:
+ TableScan
+ alias: web_site
+ Statistics: Num rows: 84 Data size: 155408 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: web_site_sk is not null (type: boolean)
+ Statistics: Num rows: 84 Data size: 155408 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: web_site_sk (type: int), web_site_id (type: string)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 84 Data size: 155408 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 10 <- Map 13 (PARTITION-LEVEL SORT, 329), Map 14 (PARTITION-LEVEL SORT, 329), Map 9 (PARTITION-LEVEL SORT, 329)
+ Reducer 11 <- Map 15 (PARTITION-LEVEL SORT, 362), Reducer 10 (PARTITION-LEVEL SORT, 362)
+ Reducer 12 <- Reducer 11 (GROUP, 398)
+ Reducer 17 <- Map 14 (PARTITION-LEVEL SORT, 322), Map 16 (PARTITION-LEVEL SORT, 322), Reducer 20 (PARTITION-LEVEL SORT, 322)
+ Reducer 18 <- Reducer 17 (GROUP, 389)
+ Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 432), Map 6 (PARTITION-LEVEL SORT, 432), Map 7 (PARTITION-LEVEL SORT, 432)
+ Reducer 20 <- Map 19 (PARTITION-LEVEL SORT, 164), Map 21 (PARTITION-LEVEL SORT, 164)
+ Reducer 3 <- Reducer 2 (GROUP, 523)
+ Reducer 4 <- Reducer 12 (GROUP, 1009), Reducer 18 (GROUP, 1009), Reducer 3 (GROUP, 1009)
+ Reducer 5 <- Reducer 4 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: store_sales
+ Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (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_store_sk (type: int), ss_sold_date_sk (type: int), ss_ext_sales_price (type: decimal(7,2)), ss_net_profit (type: decimal(7,2)), 0 (type: decimal(7,2)), 0 (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 575995635 Data size: 50814502088 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: 633586785 Data size: 55276696920 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
+ Map 13
+ Map Operator Tree:
+ TableScan
+ alias: catalog_returns
+ Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (cr_catalog_page_sk is not null and cr_returned_date_sk is not null) (type: boolean)
+ Statistics: Num rows: 28798881 Data size: 3057234680 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cr_catalog_page_sk (type: int), cr_returned_date_sk (type: int), 0 (type: decimal(7,2)), 0 (type: decimal(7,2)), cr_return_amount (type: decimal(7,2)), cr_net_loss (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 28798881 Data size: 3057234680 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: 316788717 Data size: 42056843632 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
+ Map 14
+ 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 1998-08-04 00:00:00.0 AND 1998-08-18 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
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
+ Map 15
+ Map Operator Tree:
+ TableScan
+ alias: catalog_page
+ Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: cp_catalog_page_sk is not null (type: boolean)
+ Statistics: Num rows: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: cp_catalog_page_sk (type: int), cp_catalog_page_id (type: string)
+ outputColumnNames: _col0, _col1
+ Statistics: Num rows: 46000 Data size: 21198808 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: 46000 Data size: 21198808 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: string)
+ Map 16
+ 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 and ws_web_site_sk is not null) (type: boolean)
+ Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ws_web_site_sk (type: int), ws_sold_date_sk (type: int), ws_ext_sales_price (type: decimal(7,2)), ws_net_profit (type: decimal(7,2)), 0 (type: decimal(7,2)), 0 (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 144002668 Data size: 19580198212 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: 302405606 Data size: 41118416712 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
+ Map 19
+ Map Operator Tree:
+ TableScan
+ alias: web_sales
+ Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (ws_item_sk is not null and ws_order_number is not null and ws_web_site_sk is not null) (type: boolean)
+ Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: ws_item_sk (type: int), ws_web_site_sk (type: int), ws_order_number (type: int)
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int), _col2 (type: int)
+ sort order: ++
+ Map-reduce partition columns: _col0 (type: int), _col2 (type: int)
+ Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: int)
+ Map 21
+ Map Operator Tree:
+ TableScan
+ alias: web_returns
+ Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (wr_item_sk is not null and wr_order_number is not null and wr_returned_date_sk is not null) (type: boolean)
+ Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: wr_returned_date_sk (type: int), wr_item_sk (type: int), wr_order_number (type: int), wr_return_amt (type: decimal(7,2)), wr_net_loss (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col1 (type: int), _col2 (type: int)
+ sort order: ++
+ Map-reduce partition columns: _col1 (type: int), _col2 (type: int)
+ Statistics: Num rows: 14398467 Data size: 1325194184 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2))
+ Map 6
+ Map Operator Tree:
+ TableScan
+ alias: store_returns
+ Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (sr_returned_date_sk is not null and sr_store_sk is not null) (type: boolean)
+ Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: sr_store_sk (type: int), sr_returned_date_sk (type: int), 0 (type: decimal(7,2)), 0 (type: decimal(7,2)), sr_return_amt (type: decimal(7,2)), sr_net_loss (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 57591150 Data size: 4462194832 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: 633586785 Data size: 55276696920 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
+ Map 7
+ 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 1998-08-04 00:00:00.0 AND 1998-08-18 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
+ Reduce Output Operator
+ key expressions: _col0 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: int)
+ Statistics: Num rows: 8116 Data size: 9081804 Basic stats: COMPLETE Column stats: NONE
+ Map 9
+ Map Operator Tree:
+ TableScan
+ alias: catalog_sales
+ Statistics: Num rows: 287989836 Data size: 38999608952 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (cs_catalog_page_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_catalog_page_sk (type: int), cs_sold_date_sk (type: int), cs_ext_sales_price (type: decimal(7,2)), cs_net_profit (type: decimal(7,2)), 0 (type: decimal(7,2)), 0 (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 287989836 Data size: 38999608952 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: 316788717 Data size: 42056843632 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
+ Reducer 10
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col1 (type: int)
+ 1 _col0 (type: int)
+ outputColumnNames: _col0, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 348467596 Data size: 46262528997 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: 348467596 Data size: 46262528997 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
+ Reducer 11
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col0 (type: int)
+ 1 _col0 (type: int)
+ outputColumnNames: _col2, _col3, _col4, _col5, _col9
+ Statistics: Num rows: 383314363 Data size: 50888782999 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col2), sum(_col4), sum(_col3), sum(_col5)
+ keys: _col9 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 383314363 Data size: 50888782999 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 383314363 Data size: 50888782999 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))
+ Reducer 12
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 191657181 Data size: 25444391433 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: 'catalog channel' (type: string), concat('catalog_page', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), (_col3 - _col4) (type: decimal(18,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 191657181 Data size: 25444391433 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col2), sum(_col3), sum(_col4)
+ keys: _col0 (type: string), _col1 (type: string), 0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int)
+ sort order: +++
+ Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int)
+ Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
+ Reducer 17
+ 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: _col0, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 332646173 Data size: 45230259363 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: _col2, _col3, _col4, _col5, _col9
+ input vertices:
+ 1 Map 23
+ Statistics: Num rows: 365910798 Data size: 49753286377 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col2), sum(_col4), sum(_col3), sum(_col5)
+ keys: _col9 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 365910798 Data size: 49753286377 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 365910798 Data size: 49753286377 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))
+ Reducer 18
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 182955399 Data size: 24876643188 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: 'web channel' (type: string), concat('web_site', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), (_col3 - _col4) (type: decimal(18,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 182955399 Data size: 24876643188 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col2), sum(_col3), sum(_col4)
+ keys: _col0 (type: string), _col1 (type: string), 0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int)
+ sort order: +++
+ Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int)
+ Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
+ 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: _col0, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 696945478 Data size: 60804367929 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: _col2, _col3, _col4, _col5, _col9
+ input vertices:
+ 1 Map 8
+ Statistics: Num rows: 766640042 Data size: 66884806171 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col2), sum(_col4), sum(_col3), sum(_col5)
+ keys: _col9 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 766640042 Data size: 66884806171 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string)
+ sort order: +
+ Map-reduce partition columns: _col0 (type: string)
+ Statistics: Num rows: 766640042 Data size: 66884806171 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))
+ Reducer 20
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ outputColumnNames: _col1, _col3, _col6, _col7
+ Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col1 (type: int), _col3 (type: int), 0 (type: decimal(7,2)), 0 (type: decimal(7,2)), _col6 (type: decimal(7,2)), _col7 (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 158402938 Data size: 21538218500 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: 302405606 Data size: 41118416712 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col2 (type: decimal(7,2)), _col3 (type: decimal(7,2)), _col4 (type: decimal(7,2)), _col5 (type: decimal(7,2))
+ Reducer 3
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3)
+ keys: KEY._col0 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 383320021 Data size: 33442403085 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: 'store channel' (type: string), concat('store', _col0) (type: string), _col1 (type: decimal(17,2)), _col2 (type: decimal(17,2)), (_col3 - _col4) (type: decimal(18,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 383320021 Data size: 33442403085 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col2), sum(_col3), sum(_col4)
+ keys: _col0 (type: string), _col1 (type: string), 0 (type: int)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: string), _col2 (type: int)
+ sort order: +++
+ Map-reduce partition columns: _col0 (type: string), _col1 (type: string), _col2 (type: int)
+ Statistics: Num rows: 2273797803 Data size: 251290313118 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
+ Reducer 4
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2)
+ keys: KEY._col0 (type: string), KEY._col1 (type: string), KEY._col2 (type: int)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col3, _col4, _col5
+ Statistics: Num rows: 1136898901 Data size: 125645156503 Basic stats: COMPLETE Column stats: NONE
+ pruneGroupingSetId: true
+ Select Operator
+ expressions: _col0 (type: string), _col1 (type: string), _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(28,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1136898901 Data size: 125645156503 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: string)
+ sort order: ++
+ Statistics: Num rows: 1136898901 Data size: 125645156503 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col2 (type: decimal(27,2)), _col3 (type: decimal(27,2)), _col4 (type: decimal(28,2))
+ Reducer 5
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(27,2)), VALUE._col1 (type: decimal(27,2)), VALUE._col2 (type: decimal(28,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 1136898901 Data size: 125645156503 Basic stats: COMPLETE Column stats: NONE
+ Limit
+ Number of rows: 100
+ Statistics: Num rows: 100 Data size: 11000 Basic stats: COMPLETE Column stats: NONE
+ File Output Operator
+ compressed: false
+ Statistics: Num rows: 100 Data size: 11000 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/query50.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query50.q.out b/ql/src/test/results/clientpositive/perf/spark/query50.q.out
new file mode 100644
index 0000000..fde0c4e
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/spark/query50.q.out
@@ -0,0 +1,333 @@
+PREHOOK: query: explain
+select
+ s_store_name
+ ,s_company_id
+ ,s_street_number
+ ,s_street_name
+ ,s_street_type
+ ,s_suite_number
+ ,s_city
+ ,s_county
+ ,s_state
+ ,s_zip
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as `30 days`
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and
+ (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as `31-60 days`
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and
+ (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as `61-90 days`
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
+ (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as `91-120 days`
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as `>120 days`
+from
+ store_sales
+ ,store_returns
+ ,store
+ ,date_dim d1
+ ,date_dim d2
+where
+ d2.d_year = 2000
+and d2.d_moy = 9
+and ss_ticket_number = sr_ticket_number
+and ss_item_sk = sr_item_sk
+and ss_sold_date_sk = d1.d_date_sk
+and sr_returned_date_sk = d2.d_date_sk
+and ss_customer_sk = sr_customer_sk
+and ss_store_sk = s_store_sk
+group by
+ s_store_name
+ ,s_company_id
+ ,s_street_number
+ ,s_street_name
+ ,s_street_type
+ ,s_suite_number
+ ,s_city
+ ,s_county
+ ,s_state
+ ,s_zip
+order by s_store_name
+ ,s_company_id
+ ,s_street_number
+ ,s_street_name
+ ,s_street_type
+ ,s_suite_number
+ ,s_city
+ ,s_county
+ ,s_state
+ ,s_zip
+limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+select
+ s_store_name
+ ,s_company_id
+ ,s_street_number
+ ,s_street_name
+ ,s_street_type
+ ,s_suite_number
+ ,s_city
+ ,s_county
+ ,s_state
+ ,s_zip
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk <= 30 ) then 1 else 0 end) as `30 days`
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 30) and
+ (sr_returned_date_sk - ss_sold_date_sk <= 60) then 1 else 0 end ) as `31-60 days`
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 60) and
+ (sr_returned_date_sk - ss_sold_date_sk <= 90) then 1 else 0 end) as `61-90 days`
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 90) and
+ (sr_returned_date_sk - ss_sold_date_sk <= 120) then 1 else 0 end) as `91-120 days`
+ ,sum(case when (sr_returned_date_sk - ss_sold_date_sk > 120) then 1 else 0 end) as `>120 days`
+from
+ store_sales
+ ,store_returns
+ ,store
+ ,date_dim d1
+ ,date_dim d2
+where
+ d2.d_year = 2000
+and d2.d_moy = 9
+and ss_ticket_number = sr_ticket_number
+and ss_item_sk = sr_item_sk
+and ss_sold_date_sk = d1.d_date_sk
+and sr_returned_date_sk = d2.d_date_sk
+and ss_customer_sk = sr_customer_sk
+and ss_store_sk = s_store_sk
+group by
+ s_store_name
+ ,s_company_id
+ ,s_street_number
+ ,s_street_name
+ ,s_street_type
+ ,s_suite_number
+ ,s_city
+ ,s_county
+ ,s_state
+ ,s_zip
+order by s_store_name
+ ,s_company_id
+ ,s_street_number
+ ,s_street_name
+ ,s_street_type
+ ,s_suite_number
+ ,s_city
+ ,s_county
+ ,s_state
+ ,s_zip
+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 10
+ 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_store_name (type: string), s_company_id (type: int), s_street_number (type: string), s_street_name (type: string), s_street_type (type: string), s_suite_number (type: string), s_city (type: string), s_county (type: string), s_state (type: string), s_zip (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10
+ Statistics: Num rows: 1704 Data size: 3256276 Basic stats: COMPLETE Column stats: NONE
+ Spark HashTable Sink Operator
+ keys:
+ 0 _col10 (type: int)
+ 1 _col0 (type: int)
+ Local Work:
+ Map Reduce Local Work
+
+ Stage: Stage-1
+ Spark
+ Edges:
+ Reducer 2 <- Map 1 (PARTITION-LEVEL SORT, 36), Map 7 (PARTITION-LEVEL SORT, 36)
+ Reducer 3 <- Map 8 (PARTITION-LEVEL SORT, 436), Reducer 2 (PARTITION-LEVEL SORT, 436)
+ Reducer 4 <- Map 9 (PARTITION-LEVEL SORT, 438), Reducer 3 (PARTITION-LEVEL SORT, 438)
+ Reducer 5 <- Reducer 4 (GROUP, 529)
+ Reducer 6 <- Reducer 5 (SORT, 1)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: store_returns
+ Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (sr_customer_sk is not null and sr_item_sk is not null and sr_returned_date_sk is not null and sr_ticket_number is not null) (type: boolean)
+ Statistics: Num rows: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: sr_returned_date_sk (type: int), sr_item_sk (type: int), sr_customer_sk (type: int), sr_ticket_number (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3
+ Statistics: Num rows: 57591150 Data size: 4462194832 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: 57591150 Data size: 4462194832 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ Map 7
+ Map Operator Tree:
+ TableScan
+ alias: d2
+ Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: ((d_moy = 9) and (d_year = 2000) 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 8
+ 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 and ss_ticket_number 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_ticket_number (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4
+ Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col1 (type: int), _col2 (type: int), _col4 (type: int)
+ sort order: +++
+ Map-reduce partition columns: _col1 (type: int), _col2 (type: int), _col4 (type: int)
+ Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col3 (type: int)
+ Map 9
+ Map Operator Tree:
+ TableScan
+ alias: d1
+ Statistics: Num rows: 73049 Data size: 81741831 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: d_date_sk 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)
+ outputColumnNames: _col0
+ 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
+ Reducer 2
+ 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
+ Statistics: Num rows: 63350266 Data size: 4908414421 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ sort order: +++
+ Map-reduce partition columns: _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ Statistics: Num rows: 63350266 Data size: 4908414421 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int)
+ Reducer 3
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col1 (type: int), _col2 (type: int), _col3 (type: int)
+ 1 _col1 (type: int), _col2 (type: int), _col4 (type: int)
+ outputColumnNames: _col0, _col7, _col10
+ Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col7 (type: int)
+ sort order: +
+ Map-reduce partition columns: _col7 (type: int)
+ Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col10 (type: int)
+ Reducer 4
+ Local Work:
+ Map Reduce Local Work
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col7 (type: int)
+ 1 _col0 (type: int)
+ outputColumnNames: _col0, _col7, _col10
+ Statistics: Num rows: 696954748 Data size: 61485550191 Basic stats: COMPLETE Column stats: NONE
+ Map Join Operator
+ condition map:
+ Inner Join 0 to 1
+ keys:
+ 0 _col10 (type: int)
+ 1 _col0 (type: int)
+ outputColumnNames: _col0, _col7, _col14, _col15, _col16, _col17, _col18, _col19, _col20, _col21, _col22, _col23
+ input vertices:
+ 1 Map 10
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col14 (type: string), _col15 (type: int), _col16 (type: string), _col17 (type: string), _col18 (type: string), _col19 (type: string), _col20 (type: string), _col21 (type: string), _col22 (type: string), _col23 (type: string), CASE WHEN (((_col0 - _col7) <= 30)) THEN (1) ELSE (0) END (type: int), CASE WHEN ((((_col0 - _col7) > 30) and ((_col0 - _col7) <= 60))) THEN (1) ELSE (0) END (type: int), CASE WHEN ((((_col0 - _col7) > 60) and ((_col0 - _col7) <= 90))) THEN (1) ELSE (0) END (type: int), CASE WHEN ((((_col0 - _col7) > 90) and ((_col0 - _col7) <= 120))) THEN (1) ELSE (0) END (type: int), CASE WHEN (((_col0 - _col7) > 120)) THEN (1) ELSE (0) END (type: int)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col10), sum(_col11), sum(_col12), sum(_col13), sum(_col14)
+ keys: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: string)
+ sort order: ++++++++++
+ Map-reduce partition columns: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: string)
+ Statistics: Num rows: 766650239 Data size: 67634106676 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col10 (type: bigint), _col11 (type: bigint), _col12 (type: bigint), _col13 (type: bigint), _col14 (type: bigint)
+ Reducer 5
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0), sum(VALUE._col1), sum(VALUE._col2), sum(VALUE._col3), sum(VALUE._col4)
+ keys: KEY._col0 (type: string), KEY._col1 (type: int), KEY._col2 (type: string), KEY._col3 (type: string), KEY._col4 (type: string), KEY._col5 (type: string), KEY._col6 (type: string), KEY._col7 (type: string), KEY._col8 (type: string), KEY._col9 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: string), _col1 (type: int), _col2 (type: string), _col3 (type: string), _col4 (type: string), _col5 (type: string), _col6 (type: string), _col7 (type: string), _col8 (type: string), _col9 (type: string)
+ sort order: ++++++++++
+ Statistics: Num rows: 383325119 Data size: 33817053293 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col10 (type: bigint), _col11 (type: bigint), _col12 (type: bigint), _col13 (type: bigint), _col14 (type: bigint)
+ Reducer 6
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: string), KEY.reducesinkkey1 (type: int), KEY.reducesinkkey2 (type: string), KEY.reducesinkkey3 (type: string), KEY.reducesinkkey4 (type: string), KEY.reducesinkkey5 (type: string), KEY.reducesinkkey6 (type: string), KEY.reducesinkkey7 (type: string), KEY.reducesinkkey8 (type: string), KEY.reducesinkkey9 (type: string), VALUE._col0 (type: bigint), VALUE._col1 (type: bigint), VALUE._col2 (type: bigint), VALUE._col3 (type: bigint), VALUE._col4 (type: bigint)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5, _col6, _col7, _col8, _col9, _col10, _col11, _col12, _col13, _col14
+ Statistics: Num rows: 383325119 Data size: 33817053293 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
+
+ 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/query51.q.out
----------------------------------------------------------------------
diff --git a/ql/src/test/results/clientpositive/perf/spark/query51.q.out b/ql/src/test/results/clientpositive/perf/spark/query51.q.out
new file mode 100644
index 0000000..4a13589
--- /dev/null
+++ b/ql/src/test/results/clientpositive/perf/spark/query51.q.out
@@ -0,0 +1,383 @@
+PREHOOK: query: explain
+WITH web_v1 as (
+select
+ ws_item_sk item_sk, d_date,
+ sum(sum(ws_sales_price))
+ over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from web_sales
+ ,date_dim
+where ws_sold_date_sk=d_date_sk
+ and d_month_seq between 1212 and 1212+11
+ and ws_item_sk is not NULL
+group by ws_item_sk, d_date),
+store_v1 as (
+select
+ ss_item_sk item_sk, d_date,
+ sum(sum(ss_sales_price))
+ over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from store_sales
+ ,date_dim
+where ss_sold_date_sk=d_date_sk
+ and d_month_seq between 1212 and 1212+11
+ and ss_item_sk is not NULL
+group by ss_item_sk, d_date)
+ select *
+from (select item_sk
+ ,d_date
+ ,web_sales
+ ,store_sales
+ ,max(web_sales)
+ over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
+ ,max(store_sales)
+ over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
+ from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
+ ,case when web.d_date is not null then web.d_date else store.d_date end d_date
+ ,web.cume_sales web_sales
+ ,store.cume_sales store_sales
+ from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
+ and web.d_date = store.d_date)
+ )x )y
+where web_cumulative > store_cumulative
+order by item_sk
+ ,d_date
+limit 100
+PREHOOK: type: QUERY
+POSTHOOK: query: explain
+WITH web_v1 as (
+select
+ ws_item_sk item_sk, d_date,
+ sum(sum(ws_sales_price))
+ over (partition by ws_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from web_sales
+ ,date_dim
+where ws_sold_date_sk=d_date_sk
+ and d_month_seq between 1212 and 1212+11
+ and ws_item_sk is not NULL
+group by ws_item_sk, d_date),
+store_v1 as (
+select
+ ss_item_sk item_sk, d_date,
+ sum(sum(ss_sales_price))
+ over (partition by ss_item_sk order by d_date rows between unbounded preceding and current row) cume_sales
+from store_sales
+ ,date_dim
+where ss_sold_date_sk=d_date_sk
+ and d_month_seq between 1212 and 1212+11
+ and ss_item_sk is not NULL
+group by ss_item_sk, d_date)
+ select *
+from (select item_sk
+ ,d_date
+ ,web_sales
+ ,store_sales
+ ,max(web_sales)
+ over (partition by item_sk order by d_date rows between unbounded preceding and current row) web_cumulative
+ ,max(store_sales)
+ over (partition by item_sk order by d_date rows between unbounded preceding and current row) store_cumulative
+ from (select case when web.item_sk is not null then web.item_sk else store.item_sk end item_sk
+ ,case when web.d_date is not null then web.d_date else store.d_date end d_date
+ ,web.cume_sales web_sales
+ ,store.cume_sales store_sales
+ from web_v1 web full outer join store_v1 store on (web.item_sk = store.item_sk
+ and web.d_date = store.d_date)
+ )x )y
+where web_cumulative > store_cumulative
+order by item_sk
+ ,d_date
+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 6
+ 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), 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-3
+ Spark
+#### A masked pattern was here ####
+ Vertices:
+ 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_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), 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 (GROUP PARTITION-LEVEL SORT, 437)
+ Reducer 3 <- Reducer 2 (PARTITION-LEVEL SORT, 303), Reducer 8 (PARTITION-LEVEL SORT, 303)
+ Reducer 4 <- Reducer 3 (PARTITION-LEVEL SORT, 241)
+ Reducer 5 <- Reducer 4 (SORT, 1)
+ Reducer 8 <- Map 7 (GROUP PARTITION-LEVEL SORT, 169)
+#### A masked pattern was here ####
+ Vertices:
+ Map 1
+ Map Operator Tree:
+ TableScan
+ alias: store_sales
+ Statistics: Num rows: 575995635 Data size: 50814502088 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (ss_item_sk is not null and ss_sold_date_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_sales_price (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 575995635 Data size: 50814502088 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, _col4
+ input vertices:
+ 1 Map 6
+ Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col2)
+ keys: _col1 (type: int), _col4 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int), _col1 (type: string)
+ sort order: ++
+ Map-reduce partition columns: _col0 (type: int)
+ Statistics: Num rows: 633595212 Data size: 55895953508 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col2 (type: decimal(17,2))
+ Local Work:
+ Map Reduce Local Work
+ Map 7
+ Map Operator Tree:
+ TableScan
+ alias: web_sales
+ Statistics: Num rows: 144002668 Data size: 19580198212 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (ws_item_sk is not null and 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_item_sk (type: int), ws_sales_price (type: decimal(7,2))
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 144002668 Data size: 19580198212 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, _col4
+ input vertices:
+ 1 Map 9
+ Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
+ Group By Operator
+ aggregations: sum(_col2)
+ keys: _col1 (type: int), _col4 (type: string)
+ mode: hash
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int), _col1 (type: string)
+ sort order: ++
+ Map-reduce partition columns: _col0 (type: int)
+ Statistics: Num rows: 158402938 Data size: 21538218500 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col2 (type: decimal(17,2))
+ Local Work:
+ Map Reduce Local Work
+ Reducer 2
+ Reduce Operator Tree:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ keys: KEY._col0 (type: int), KEY._col1 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
+ PTF Operator
+ Function definitions:
+ Input definition
+ input alias: ptf_0
+ output shape: _col0: int, _col1: string, _col2: decimal(17,2)
+ type: WINDOWING
+ Windowing table definition
+ input alias: ptf_1
+ name: windowingtablefunction
+ order by: _col1 ASC NULLS FIRST
+ partition by: _col0
+ raw input shape:
+ window functions:
+ window function definition
+ alias: sum_window_0
+ arguments: _col2
+ name: sum
+ window function: GenericUDAFSumHiveDecimal
+ window frame: ROWS PRECEDING(MAX)~CURRENT
+ Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: int), _col1 (type: string), sum_window_0 (type: decimal(27,2))
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int), _col1 (type: string)
+ sort order: ++
+ Map-reduce partition columns: _col0 (type: int), _col1 (type: string)
+ Statistics: Num rows: 316797606 Data size: 27947976754 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col2 (type: decimal(27,2))
+ Reducer 3
+ Reduce Operator Tree:
+ Join Operator
+ condition map:
+ Outer Join 0 to 1
+ keys:
+ 0 _col0 (type: int), _col1 (type: string)
+ 1 _col0 (type: int), _col1 (type: string)
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: CASE WHEN (_col3 is not null) THEN (_col3) ELSE (_col0) END (type: int), CASE WHEN (_col4 is not null) THEN (_col4) ELSE (_col1) END (type: string)
+ sort order: ++
+ Map-reduce partition columns: CASE WHEN (_col3 is not null) THEN (_col3) ELSE (_col0) END (type: int)
+ Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col0 (type: int), _col1 (type: string), _col2 (type: decimal(27,2)), _col3 (type: int), _col4 (type: string), _col5 (type: decimal(27,2))
+ Reducer 4
+ Reduce Operator Tree:
+ Select Operator
+ expressions: VALUE._col0 (type: int), VALUE._col1 (type: string), VALUE._col2 (type: decimal(27,2)), VALUE._col3 (type: int), VALUE._col4 (type: string), VALUE._col5 (type: decimal(27,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
+ PTF Operator
+ Function definitions:
+ Input definition
+ input alias: ptf_0
+ output shape: _col0: int, _col1: string, _col2: decimal(27,2), _col3: int, _col4: string, _col5: decimal(27,2)
+ type: WINDOWING
+ Windowing table definition
+ input alias: ptf_1
+ name: windowingtablefunction
+ order by: CASE WHEN (_col4 is not null) THEN (_col4) ELSE (_col1) END ASC NULLS FIRST
+ partition by: CASE WHEN (_col3 is not null) THEN (_col3) ELSE (_col0) END
+ raw input shape:
+ window functions:
+ window function definition
+ alias: max_window_0
+ arguments: _col5
+ name: max
+ window function: GenericUDAFMaxEvaluator
+ window frame: ROWS PRECEDING(MAX)~CURRENT
+ window function definition
+ alias: max_window_1
+ arguments: _col2
+ name: max
+ window function: GenericUDAFMaxEvaluator
+ window frame: ROWS PRECEDING(MAX)~CURRENT
+ Statistics: Num rows: 348477374 Data size: 30742775095 Basic stats: COMPLETE Column stats: NONE
+ Filter Operator
+ predicate: (max_window_0 > max_window_1) (type: boolean)
+ Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: CASE WHEN (_col3 is not null) THEN (_col3) ELSE (_col0) END (type: int), CASE WHEN (_col4 is not null) THEN (_col4) ELSE (_col1) END (type: string), _col5 (type: decimal(27,2)), _col2 (type: decimal(27,2)), max_window_0 (type: decimal(27,2)), max_window_1 (type: decimal(27,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int), _col1 (type: string)
+ sort order: ++
+ Statistics: Num rows: 116159124 Data size: 10247591639 Basic stats: COMPLETE Column stats: NONE
+ TopN Hash Memory Usage: 0.1
+ value expressions: _col2 (type: decimal(27,2)), _col3 (type: decimal(27,2)), _col4 (type: decimal(27,2)), _col5 (type: decimal(27,2))
+ Reducer 5
+ Reduce Operator Tree:
+ Select Operator
+ expressions: KEY.reducesinkkey0 (type: int), KEY.reducesinkkey1 (type: string), VALUE._col0 (type: decimal(27,2)), VALUE._col1 (type: decimal(27,2)), VALUE._col2 (type: decimal(27,2)), VALUE._col3 (type: decimal(27,2))
+ outputColumnNames: _col0, _col1, _col2, _col3, _col4, _col5
+ Statistics: Num rows: 116159124 Data size: 10247591639 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:
+ Group By Operator
+ aggregations: sum(VALUE._col0)
+ keys: KEY._col0 (type: int), KEY._col1 (type: string)
+ mode: mergepartial
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
+ PTF Operator
+ Function definitions:
+ Input definition
+ input alias: ptf_0
+ output shape: _col0: int, _col1: string, _col2: decimal(17,2)
+ type: WINDOWING
+ Windowing table definition
+ input alias: ptf_1
+ name: windowingtablefunction
+ order by: _col1 ASC NULLS FIRST
+ partition by: _col0
+ raw input shape:
+ window functions:
+ window function definition
+ alias: sum_window_0
+ arguments: _col2
+ name: sum
+ window function: GenericUDAFSumHiveDecimal
+ window frame: ROWS PRECEDING(MAX)~CURRENT
+ Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
+ Select Operator
+ expressions: _col0 (type: int), _col1 (type: string), sum_window_0 (type: decimal(27,2))
+ outputColumnNames: _col0, _col1, _col2
+ Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
+ Reduce Output Operator
+ key expressions: _col0 (type: int), _col1 (type: string)
+ sort order: ++
+ Map-reduce partition columns: _col0 (type: int), _col1 (type: string)
+ Statistics: Num rows: 79201469 Data size: 10769109250 Basic stats: COMPLETE Column stats: NONE
+ value expressions: _col2 (type: decimal(27,2))
+
+ Stage: Stage-0
+ Fetch Operator
+ limit: 100
+ Processor Tree:
+ ListSink
+