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https://issues.apache.org/jira/browse/HIVE-10153?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14387752#comment-14387752
]
Mostafa Mokhtar commented on HIVE-10153:
----------------------------------------
[~jpullokkaran]
I looked at HiveJoin.java:chooseJoinAlgorithmAndGetCost and noticed
catalog_sales x date_dim is not one of the joins that get costed, which means
that re-ordering happened already and this join wasn't considered selective.
As you mentioned the catalog_sales x date_dim join must have been trimmed
earlier.
{code}
2015-03-30 20:56:30,676 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($0,
$3)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
2015-03-30 20:56:30,694 DEBUG [main]: stats.StatsUtils
(StatsUtils.java:setUnknownRcDsToAverage(383)) - Estimated average row size: 8
2015-03-30 20:56:31,030 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,031 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2.88149727E8 rows, 5.891110492737591E9 cpu, 3.1120170516E12 io}
2015-03-30 20:56:31,046 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,046 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}
2015-03-30 20:56:31,049 INFO [main]: log.PerfLogger
(PerfLogger.java:PerfLogBegin(121)) - <PERFLOG method=partition-retrieving
from=org.apache.hadoop.hive.ql.optimizer.ppr.PartitionPruner>
2015-03-30 20:56:31,049 INFO [main]: log.PerfLogger
(PerfLogger.java:PerfLogEnd(148)) - </PERFLOG method=partition-retrieving
start=1427763391049 end=1427763391049 duration=0
from=org.apache.hadoop.hive.ql.optimizer.ppr.PartitionPruner>
2015-03-30 20:56:31,072 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($1,
$2)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,093 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,093 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2400000.0 rows, 3.613071630485607E7 cpu, 2.89314882E10 io}
2015-03-30 20:56:31,101 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,101 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost: {2400000.0
rows, 3200000.0 cpu, 0.0 io}
2015-03-30 20:56:31,108 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($0,
$3)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveJoin(condition=[=($1, $2)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{2400000.0 rows, 3200000.0 cpu, 0.0 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,109 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,109 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2.88358116798421E8 rows, 5.894517244918468E9 cpu, 3.140605701919576E12 io}
2015-03-30 20:56:31,117 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,117 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{2.88358116798421E8 rows, 5.74907843798421E8 cpu, 1.82245626372E13 io}
2015-03-30 20:56:31,123 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($4,
$5)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveJoin(condition=[=($0, $3)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,124 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,125 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{3.246707731214128E8 rows, 6.6820694227737255E9 cpu, 7.007260187622517E12 io}
2015-03-30 20:56:31,132 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,132 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{3.246707731214128E8 rows, 3.254707731214128E8 cpu, 4.91951724E10 io}
2015-03-30 20:56:31,138 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($1,
$2)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,139 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,139 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2400000.0 rows, 3.613071630485607E7 cpu, 2.89314882E10 io}
2015-03-30 20:56:31,144 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,144 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost: {2400000.0
rows, 3200000.0 cpu, 0.0 io}
2015-03-30 20:56:31,149 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($0,
$3)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
2015-03-30 20:56:31,150 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,150 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2.88149727E8 rows, 5.891110492737591E9 cpu, 3.1120170516E12 io}
2015-03-30 20:56:31,156 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,156 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}
2015-03-30 20:56:31,161 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($4,
$5)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveJoin(condition=[=($0, $3)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,162 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,162 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{3.246707731214128E8 rows, 6.6820694227737255E9 cpu, 7.007260187622517E12 io}
2015-03-30 20:56:31,168 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,168 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{3.246707731214128E8 rows, 3.254707731214128E8 cpu, 4.91951724E10 io}
2015-03-30 20:56:31,172 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($0,
$3)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveJoin(condition=[=($1, $2)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{2400000.0 rows, 3200000.0 cpu, 0.0 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,173 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,173 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2.88358116798421E8 rows, 5.894517244918468E9 cpu, 3.140605701919576E12 io}
2015-03-30 20:56:31,179 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,179 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{2.88358116798421E8 rows, 5.74907843798421E8 cpu, 1.82245626372E13 io}
2015-03-30 20:56:31,183 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($1,
$2)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,184 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,185 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2400000.0 rows, 3.613071630485607E7 cpu, 2.89314882E10 io}
2015-03-30 20:56:31,189 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,190 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost: {2400000.0
rows, 3200000.0 cpu, 0.0 io}
2015-03-30 20:56:31,194 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($0,
$3)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
2015-03-30 20:56:31,196 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,196 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2.88149727E8 rows, 5.891110492737591E9 cpu, 3.1120170516E12 io}
2015-03-30 20:56:31,200 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,201 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}
2015-03-30 20:56:31,205 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($4,
$5)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveJoin(condition=[=($0, $3)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,206 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,206 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{3.246707731214128E8 rows, 6.6820694227737255E9 cpu, 7.007260187622517E12 io}
2015-03-30 20:56:31,211 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,211 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{3.246707731214128E8 rows, 3.254707731214128E8 cpu, 4.91951724E10 io}
2015-03-30 20:56:31,215 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($0,
$3)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveJoin(condition=[=($1, $2)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{2400000.0 rows, 3200000.0 cpu, 0.0 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,216 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,216 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2.88358116798421E8 rows, 5.894517244918468E9 cpu, 3.140605701919576E12 io}
2015-03-30 20:56:31,220 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,221 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{2.88358116798421E8 rows, 5.74907843798421E8 cpu, 1.82245626372E13 io}
2015-03-30 20:56:31,231 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($4,
$5)], joinType=[inner], joinAlgorithm=[map_join], cost=[null])
HiveJoin(condition=[=($0, $3)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,235 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,235 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{3.246707731214128E8 rows, 6.6820694227737255E9 cpu, 7.007260187622517E12 io}
2015-03-30 20:56:31,240 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,241 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{3.246707731214128E8 rows, 3.254707731214128E8 cpu, 4.91951724E10 io}
2015-03-30 20:56:31,244 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($0,
$3)], joinType=[inner], joinAlgorithm=[map_join], cost=[{2.88149727E8 rows,
2.89749727E8 cpu, 3.84E10 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
2015-03-30 20:56:31,245 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,246 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2.88149727E8 rows, 5.891110492737591E9 cpu, 3.1120170516E12 io}
2015-03-30 20:56:31,247 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,248 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}
2015-03-30 20:56:31,320 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($2,
$8)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveFilter(condition=[OR(in(substr($7, 1, 5), '85669', '86197', '88274',
'83405', '86475', '85392', '85460', '80348', '81792'), in($6, 'CA', 'WA',
'GA'), >($1, 5E2))])
HiveProject(cs_bill_customer_sk=[$0], cs_sales_price=[$1],
cs_sold_date_sk=[$2], c_customer_sk=[$3], c_current_addr_sk=[$4],
ca_address_sk=[$5], ca_state=[$6], ca_zip=[$7])
HiveJoin(condition=[=($4, $5)], joinType=[inner],
joinAlgorithm=[map_join], cost=[{3.246707731214128E8 rows, 3.254707731214128E8
cpu, 4.91951724E10 io}])
HiveJoin(condition=[=($0, $3)], joinType=[inner],
joinAlgorithm=[map_join], cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10
io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
HiveFilter(condition=[AND(=($2, 2), =($1, 2000))])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.date_dim]])
2015-03-30 20:56:31,323 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,323 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{1.36661031991844E8 rows, 2.6967321460432544E9 cpu, 4.942256188845978E12 io}
2015-03-30 20:56:31,333 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,334 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{1.36661031991844E8 rows, 1.3666116243648687E8 cpu, 0.0 io}
2015-03-30 20:56:31,339 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($2,
$8)], joinType=[inner], joinAlgorithm=[none], cost=[null])
HiveFilter(condition=[OR(in(substr($7, 1, 5), '85669', '86197', '88274',
'83405', '86475', '85392', '85460', '80348', '81792'), in($6, 'CA', 'WA',
'GA'), >($1, 5E2))])
HiveProject(cs_bill_customer_sk=[$0], cs_sales_price=[$1],
cs_sold_date_sk=[$2], c_customer_sk=[$3], c_current_addr_sk=[$4],
ca_address_sk=[$5], ca_state=[$6], ca_zip=[$7])
HiveJoin(condition=[=($4, $5)], joinType=[inner],
joinAlgorithm=[map_join], cost=[{3.246707731214128E8 rows, 3.254707731214128E8
cpu, 4.91951724E10 io}])
HiveJoin(condition=[=($0, $3)], joinType=[inner],
joinAlgorithm=[map_join], cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10
io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
HiveFilter(condition=[AND(=($2, 2), =($1, 2000))])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.date_dim]])
2015-03-30 20:56:31,340 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,340 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{1.36661031991844E8 rows, 2.6967321460432544E9 cpu, 4.942256188845978E12 io}
2015-03-30 20:56:31,345 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,346 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{1.36661031991844E8 rows, 1.3666116243648687E8 cpu, 0.0 io}
2015-03-30 20:56:31,353 DEBUG [main]: parse.CalcitePlanner
(CalcitePlanner.java:apply(839)) - CBO Planning details:
2015-03-30 20:56:31,355 DEBUG [main]: parse.CalcitePlanner
(CalcitePlanner.java:apply(840)) - Original Plan:
HiveSort(fetch=[100])
HiveSort(sort0=[$0], dir0=[ASC])
HiveProject(ca_zip=[$0], _o__c1=[$1])
HiveAggregate(group=[{0}], agg#0=[sum($1)])
HiveProject($f0=[$67], $f1=[$20])
HiveFilter(condition=[AND(=($2, $37), =($41, $58), OR(in(substr($67,
1, 5), '85669', '86197', '88274', '83405', '86475', '85392', '85460', '80348',
'81792'), in($66, 'CA', 'WA', 'GA'), >($20, 5E2)), =($33, $74), =($84, 2),
=($80, 2000))])
HiveJoin(condition=[true], joinType=[inner], joinAlgorithm=[none],
cost=[null])
HiveJoin(condition=[true], joinType=[inner],
joinAlgorithm=[none], cost=[null])
HiveJoin(condition=[true], joinType=[inner],
joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.date_dim]])
2015-03-30 20:56:31,356 DEBUG [main]: parse.CalcitePlanner
(CalcitePlanner.java:apply(841)) - Plan After PPD, PartPruning, ColumnPruning:
HiveSort(fetch=[100])
HiveSort(sort0=[$0], dir0=[ASC])
HiveAggregate(group=[{0}], agg#0=[sum($1)])
HiveProject($f0=[$7], $f1=[$1])
HiveJoin(condition=[=($2, $8)], joinType=[inner], joinAlgorithm=[none],
cost=[null])
HiveFilter(condition=[OR(in(substr($7, 1, 5), '85669', '86197',
'88274', '83405', '86475', '85392', '85460', '80348', '81792'), in($6, 'CA',
'WA', 'GA'), >($1, 5E2))])
HiveJoin(condition=[=($4, $5)], joinType=[inner],
joinAlgorithm=[none], cost=[null])
HiveJoin(condition=[=($0, $3)], joinType=[inner],
joinAlgorithm=[none], cost=[null])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
HiveFilter(condition=[AND(=($2, 2), =($1, 2000))])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.date_dim]])
2015-03-30 20:56:31,376 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($2,
$8)], joinType=[inner], joinAlgorithm=[map_join], cost=[{1.36661031991844E8
rows, 1.3666116243648687E8 cpu, 0.0 io}])
HiveFilter(condition=[OR(in(substr($7, 1, 5), '85669', '86197', '88274',
'83405', '86475', '85392', '85460', '80348', '81792'), in($6, 'CA', 'WA',
'GA'), >($1, 5E2))])
HiveJoin(condition=[=($4, $5)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{3.246707731214128E8 rows, 3.254707731214128E8 cpu, 4.91951724E10 io}])
HiveJoin(condition=[=($0, $3)], joinType=[inner],
joinAlgorithm=[map_join], cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10
io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
HiveFilter(condition=[AND(=($2, 2), =($1, 2000))])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.date_dim]])
2015-03-30 20:56:31,377 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,377 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{1.36661031991844E8 rows, 2.6967321460432544E9 cpu, 4.942256188845978E12 io}
2015-03-30 20:56:31,378 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,379 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{1.36661031991844E8 rows, 1.3666116243648687E8 cpu, 0.0 io}
2015-03-30 20:56:31,382 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($4,
$5)], joinType=[inner], joinAlgorithm=[map_join], cost=[{3.246707731214128E8
rows, 3.254707731214128E8 cpu, 4.91951724E10 io}])
HiveJoin(condition=[=($0, $3)], joinType=[inner], joinAlgorithm=[map_join],
cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]])
2015-03-30 20:56:31,383 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,383 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{3.246707731214128E8 rows, 6.6820694227737255E9 cpu, 7.007260187622517E12 io}
2015-03-30 20:56:31,384 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,385 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{3.246707731214128E8 rows, 3.254707731214128E8 cpu, 4.91951724E10 io}
2015-03-30 20:56:31,387 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(160)) - HiveJoin(condition=[=($0,
$3)], joinType=[inner], joinAlgorithm=[map_join], cost=[{2.88149727E8 rows,
2.89749727E8 cpu, 3.84E10 io}])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]])
HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]])
2015-03-30 20:56:31,388 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(169)) - COMMONJOIN possible 2
2015-03-30 20:56:31,388 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(170)) - COMMONJOIN cost:
{2.88149727E8 rows, 5.891110492737591E9 cpu, 3.1120170516E12 io}
2015-03-30 20:56:31,389 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(180)) - MAPJOIN possible
2015-03-30 20:56:31,390 DEBUG [main]: reloperators.HiveJoin
(HiveJoin.java:chooseJoinAlgorithmAndGetCost(181)) - MAPJOIN cost:
{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10 io}
{code}
> CBO (Calcite Return Path): TPC-DS Q15 in-efficient join order
> --------------------------------------------------------------
>
> Key: HIVE-10153
> URL: https://issues.apache.org/jira/browse/HIVE-10153
> Project: Hive
> Issue Type: Bug
> Components: CBO
> Affects Versions: cbo-branch
> Reporter: Mostafa Mokhtar
> Assignee: Laljo John Pullokkaran
> Fix For: cbo-branch
>
>
> TPC-DS Q15 joins catalog_sales with date_dim last where it should be the
> first join.
> Query
> {code}
> select ca_zip
> ,sum(cs_sales_price)
> from catalog_sales
> ,customer
> ,customer_address
> ,date_dim
> where catalog_sales.cs_bill_customer_sk = customer.c_customer_sk
> and customer.c_current_addr_sk = customer_address.ca_address_sk
> and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
> '85392', '85460', '80348', '81792')
> or customer_address.ca_state in ('CA','WA','GA')
> or catalog_sales.cs_sales_price > 500)
> and catalog_sales.cs_sold_date_sk = date_dim.d_date_sk
> and date_dim.d_qoy = 2 and date_dim.d_year = 2000
> group by ca_zip
> order by ca_zip
> limit 100;
> {code}
> Logical plan
> {code}
> HiveSort(fetch=[100]): rowcount = 7171.0, cumulative cost =
> {7.507729983730065E8 rows, 7.553113550983669E8 cpu, 9.08546638062188E10 io},
> id = 2207
> HiveSort(sort0=[$0], dir0=[ASC]): rowcount = 7171.0, cumulative cost =
> {7.502636967200102E8 rows, 7.553041840983669E8 cpu, 9.08546638062188E10 io},
> id = 2205
> HiveAggregate(group=[{0}], agg#0=[sum($1)]): rowcount = 7171.0,
> cumulative cost = {7.497543950670139E8 rows, 7.552970130983669E8 cpu,
> 9.08546638062188E10 io}, id = 2203
> HiveProject($f0=[$7], $f1=[$1]): rowcount = 272862.9537571146,
> cumulative cost = {7.494815321132567E8 rows, 7.518816625578996E8 cpu,
> 8.75951724E10 io}, id = 2201
> HiveJoin(condition=[=($2, $8)], joinType=[inner],
> joinAlgorithm=[map_join], cost=[{1.36661031991844E8 rows,
> 1.3666116243648687E8 cpu, 0.0 io}]): rowcount = 272862.9537571146, cumulative
> cost = {7.494815321132567E8 rows, 7.518816625578996E8 cpu, 8.75951724E10 io},
> id = 2242
> HiveFilter(condition=[OR(in(substr($7, 1, 5), '85669', '86197',
> '88274', '83405', '86475', '85392', '85460', '80348', '81792'), in($6, 'CA',
> 'WA', 'GA'), >($1, 5E2))]): rowcount = 1.3666090154720113E8, cumulative cost
> = {6.128205001214128E8 rows, 6.152205001214128E8 cpu, 8.75951724E10 io}, id =
> 2195
> HiveJoin(condition=[=($4, $5)], joinType=[inner],
> joinAlgorithm=[map_join], cost=[{3.246707731214128E8 rows,
> 3.254707731214128E8 cpu, 4.91951724E10 io}]): rowcount =
> 3.6605287632468826E8, cumulative cost = {6.128205001214128E8 rows,
> 6.152205001214128E8 cpu, 8.75951724E10 io}, id = 2238
> HiveJoin(condition=[=($0, $3)], joinType=[inner],
> joinAlgorithm=[map_join], cost=[{2.88149727E8 rows, 2.89749727E8 cpu, 3.84E10
> io}]): rowcount = 3.238707731214128E8, cumulative cost = {2.88149727E8 rows,
> 2.89749727E8 cpu, 3.84E10 io}, id = 2222
>
> HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]]):
> rowcount = 2.86549727E8, cumulative cost = {0}, id = 2134
>
> HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]]): rowcount =
> 1600000.0, cumulative cost = {0}, id = 2135
>
> HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]]):
> rowcount = 800000.0, cumulative cost = {0}, id = 2137
> HiveFilter(condition=[AND(=($2, 2), =($1, 2000))]): rowcount =
> 130.44464285714287, cumulative cost = {0.0 rows, 0.0 cpu, 0.0 io}, id = 2197
>
> HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.date_dim]]): rowcount =
> 73049.0, cumulative cost = {0}, id = 2140
> {code}
> — Re-write
> {code}
> with cs as
> ( select cs_sales_price,cs_bill_customer_sk
> from catalog_sales
> ,date_dim
> where
> cs_sold_date_sk = d_date_sk
> and date_dim.d_qoy = 2 and d_year = 2000)
> select ca_zip
> ,sum(cs_sales_price)
> from cs
> ,customer
> ,customer_address
> where cs.cs_bill_customer_sk = customer.c_customer_sk
> and customer.c_current_addr_sk = customer_address.ca_address_sk
> and ( substr(ca_zip,1,5) in ('85669', '86197','88274','83405','86475',
> '85392', '85460', '80348', '81792')
> or customer_address.ca_state in ('CA','WA','GA')
> or cs.cs_sales_price > 500)
> group by ca_zip
> order by ca_zip
> limit 100
> {code}
> — plan for re-write
> {code}
> HiveSort(fetch=[100]): rowcount = 7171.0, cumulative cost =
> {2.9146011517152977E8 rows, 2.949706092384584E8 cpu, 3.261369809075945E9 io},
> id = 1990
> HiveSort(sort0=[$0], dir0=[ASC]): rowcount = 7171.0, cumulative cost =
> {2.909508135185335E8 rows, 2.949634382384584E8 cpu, 3.261369809075945E9 io},
> id = 1988
> HiveAggregate(group=[{0}], agg#0=[sum($1)]): rowcount = 7171.0,
> cumulative cost = {2.904415118655373E8 rows, 2.949562672384584E8 cpu,
> 3.261369809075945E9 io}, id = 1986
> HiveProject($f0=[$6], $f1=[$0]): rowcount = 272862.9537571146,
> cumulative cost = {2.901686489117802E8 rows, 2.915409166979911E8 cpu,
> 1878402.8571428573 io}, id = 1984
> HiveFilter(condition=[OR(in(substr($6, 1, 5), '85669', '86197',
> '88274', '83405', '86475', '85392', '85460', '80348', '81792'), in($5, 'CA',
> 'WA', 'GA'), >($0, 5E2))]): rowcount = 272862.9537571146, cumulative cost =
> {2.901686489117802E8 rows, 2.915409166979911E8 cpu, 1878402.8571428573 io},
> id = 1982
> HiveProject(cs_sales_price=[$5], cs_bill_customer_sk=[$6],
> c_customer_sk=[$3], c_current_addr_sk=[$4], ca_address_sk=[$0],
> ca_state=[$1], ca_zip=[$2]): rowcount = 730876.7023664336, cumulative cost =
> {2.901686489117802E8 rows, 2.915409166979911E8 cpu, 1878402.8571428573 io},
> id = 2030
> HiveJoin(condition=[=($4, $0)], joinType=[inner],
> joinAlgorithm=[map_join], cost=[{1446654.1255692376 rows, 2246654.1255692374
> cpu, 0.0 io}]): rowcount = 730876.7023664336, cumulative cost =
> {2.901686489117802E8 rows, 2.915409166979911E8 cpu, 1878402.8571428573 io},
> id = 2028
>
> HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer_address]]):
> rowcount = 800000.0, cumulative cost = {0}, id = 1917
> HiveJoin(condition=[=($3, $0)], joinType=[inner],
> joinAlgorithm=[map_join], cost=[{2172137.341568095 rows, 2744274.6831361903
> cpu, 0.0 io}]): rowcount = 646654.1255692376, cumulative cost =
> {2.8872199478621095E8 rows, 2.8929426257242185E8 cpu, 1878402.8571428573 io},
> id = 2012
>
> HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.customer]]): rowcount =
> 1600000.0, cumulative cost = {0}, id = 1915
> HiveProject(cs_sales_price=[$1], cs_bill_customer_sk=[$0]):
> rowcount = 572137.341568095, cumulative cost = {2.8654985744464284E8 rows,
> 2.865499878892857E8 cpu, 1878402.8571428573 io}, id = 1976
> HiveJoin(condition=[=($2, $3)], joinType=[inner],
> joinAlgorithm=[map_join], cost=[{2.8654985744464284E8 rows,
> 2.865499878892857E8 cpu, 1878402.8571428573 io}]): rowcount =
> 572137.341568095, cumulative cost = {2.8654985744464284E8 rows,
> 2.865499878892857E8 cpu, 1878402.8571428573 io}, id = 2005
>
> HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.catalog_sales]]):
> rowcount = 2.86549727E8, cumulative cost = {0}, id = 1910
> HiveFilter(condition=[AND(=($2, 2), =($1, 2000))]):
> rowcount = 130.44464285714287, cumulative cost = {0.0 rows, 0.0 cpu, 0.0 io},
> id = 1972
>
> HiveTableScan(table=[[tpcds_bin_partitioned_orc_200_1.date_dim]]): rowcount =
> 73049.0, cumulative cost = {0}, id = 1911
> {code}
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