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b14ca6d09f
With the prefetching changes, the probe expressions' local allocations are no longer freed via QueryMaintenance() in PHJ. Instead, they are freed explicitly in GetNext() after an entire probe batch has been processed. Due to this change in how we handle local allocations of probe expressions, a DCHECK was added to verify that there is no local allocation from the probe expression in ProcessBuildInput(). Turns out that Expr::Open() called in ConstructBuildSide() on the probe expressions may have caused local allocations to occur for certain UDFs (e.g. extract()). This change handles the situation above by freeing local allocations of the probe expressions once before calling ProcessBuildInput() in ConstructBuildSide(). A new regression test is also added for this specific case. Change-Id: I2096ca3e2093c5ab0ecc0e7ca4cd1b5f3c1ed1ed Reviewed-on: http://gerrit.cloudera.org:8080/3253 Reviewed-by: Michael Ho <kwho@cloudera.com> Tested-by: Internal Jenkins
723 lines
18 KiB
Plaintext
723 lines
18 KiB
Plaintext
====
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---- QUERY
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# Test join on timestamp, hashing was not working properly
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select a.timestamp_col from alltypessmall a inner join alltypessmall b on
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(a.timestamp_col = b.timestamp_col)
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where a.year=2009 and a.month=1 and b.year=2009 and b.month=1
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---- RESULTS
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2009-01-01 00:00:00
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2009-01-01 00:01:00
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2009-01-01 00:02:00.100000000
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2009-01-01 00:03:00.300000000
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2009-01-01 00:04:00.600000000
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2009-01-01 00:05:00.100000000
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2009-01-01 00:06:00.150000000
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2009-01-01 00:07:00.210000000
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2009-01-01 00:08:00.280000000
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2009-01-01 00:09:00.360000000
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2009-01-02 00:10:00.450000000
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2009-01-02 00:11:00.450000000
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2009-01-02 00:12:00.460000000
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2009-01-02 00:13:00.480000000
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2009-01-02 00:14:00.510000000
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2009-01-02 00:15:00.550000000
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2009-01-02 00:16:00.600000000
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2009-01-02 00:17:00.660000000
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2009-01-02 00:18:00.730000000
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2009-01-02 00:19:00.810000000
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2009-01-03 00:20:00.900000000
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2009-01-03 00:21:00.900000000
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2009-01-03 00:22:00.910000000
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2009-01-03 00:23:00.930000000
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2009-01-03 00:24:00.960000000
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---- TYPES
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timestamp
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====
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---- QUERY
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# Joins with multiple exprs
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select j.*, d.* from JoinTbl j inner join DimTbl d on
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(j.test_name = d.name AND j.test_zip = d.zip)
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---- RESULTS
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1001,'Name1',94611,5000,1001,'Name1',94611
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1002,'Name2',94611,5000,1002,'Name2',94611
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---- TYPES
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bigint, string, int, int, bigint, string, int
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====
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---- QUERY
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select j.*, d.* from JoinTbl j inner join DimTbl d on
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(j.test_zip = d.zip AND j.test_name = d.name)
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---- RESULTS
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1001,'Name1',94611,5000,1001,'Name1',94611
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1002,'Name2',94611,5000,1002,'Name2',94611
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---- TYPES
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bigint, string, int, int, bigint, string, int
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====
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---- QUERY
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# join between three tables, extra join predicates, extra scan predicates, nulls in joins cols
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# (alltypesagg.tinyint_col contains nulls instead of 0s)
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select a.smallint_col, b.id, a.tinyint_col, c.id, a.int_col, b.float_col, c.string_col
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from alltypesagg a
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join alltypessmall b on (a.smallint_col = b.id)
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join alltypessmall c on (a.tinyint_col = c.id)
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where a.month=1
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and a.day=1
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and a.int_col > 899
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and b.float_col > 4.5
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and c.string_col < '7'
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and a.int_col + b.float_col + cast(c.string_col as float) < 1000
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---- RESULTS
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15,15,5,5,915,5.5,'5'
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16,16,6,6,916,6.599999904632568,'6'
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31,31,1,1,931,6.599999904632568,'1'
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32,32,2,2,932,7.699999809265137,'2'
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33,33,3,3,933,8.800000190734863,'3'
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34,34,4,4,934,9.899999618530273,'4'
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41,41,1,1,941,6.599999904632568,'1'
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42,42,2,2,942,7.699999809265137,'2'
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43,43,3,3,943,8.800000190734863,'3'
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44,44,4,4,944,9.899999618530273,'4'
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5,5,5,5,905,5.5,'5'
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55,55,5,5,955,5.5,'5'
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56,56,6,6,956,6.599999904632568,'6'
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6,6,6,6,906,6.599999904632568,'6'
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65,65,5,5,965,5.5,'5'
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66,66,6,6,966,6.599999904632568,'6'
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81,81,1,1,981,6.599999904632568,'1'
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82,82,2,2,982,7.699999809265137,'2'
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83,83,3,3,983,8.800000190734863,'3'
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84,84,4,4,984,9.899999618530273,'4'
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91,91,1,1,991,6.599999904632568,'1'
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---- TYPES
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smallint, int, tinyint, int, int, float, string
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====
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---- QUERY
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# reversing the order produces the same results
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select a.smallint_col, b.id, a.tinyint_col, c.id, a.int_col, b.float_col, c.string_col
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from alltypessmall b
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join alltypesagg a on (a.smallint_col = b.id)
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join alltypessmall c on (a.tinyint_col = c.id)
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where a.month=1
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and a.day=1
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and a.int_col > 899
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and b.float_col > 4.5
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and c.string_col < '7'
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and a.int_col + b.float_col + cast(c.string_col as float) < 1000
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---- RESULTS
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15,15,5,5,915,5.5,'5'
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16,16,6,6,916,6.599999904632568,'6'
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31,31,1,1,931,6.599999904632568,'1'
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32,32,2,2,932,7.699999809265137,'2'
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33,33,3,3,933,8.800000190734863,'3'
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34,34,4,4,934,9.899999618530273,'4'
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41,41,1,1,941,6.599999904632568,'1'
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42,42,2,2,942,7.699999809265137,'2'
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43,43,3,3,943,8.800000190734863,'3'
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44,44,4,4,944,9.899999618530273,'4'
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5,5,5,5,905,5.5,'5'
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55,55,5,5,955,5.5,'5'
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56,56,6,6,956,6.599999904632568,'6'
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6,6,6,6,906,6.599999904632568,'6'
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65,65,5,5,965,5.5,'5'
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66,66,6,6,966,6.599999904632568,'6'
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81,81,1,1,981,6.599999904632568,'1'
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82,82,2,2,982,7.699999809265137,'2'
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83,83,3,3,983,8.800000190734863,'3'
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84,84,4,4,984,9.899999618530273,'4'
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91,91,1,1,991,6.599999904632568,'1'
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---- TYPES
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smallint, int, tinyint, int, int, float, string
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====
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---- QUERY
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# joins on empty tables
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select * from emptytable t1 join emptytable t2 on (t1.field=t2.field)
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---- RESULTS
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---- TYPES
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string, int, string, int
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====
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---- QUERY
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select * from emptytable t1 join greptiny t2 on (t1.field=t2.field)
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---- RESULTS
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---- TYPES
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string, int, string
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====
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---- QUERY
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select * from greptiny t1 join emptytable t2 on (t1.field=t2.field)
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---- RESULTS
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---- TYPES
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string, string, int
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====
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---- QUERY
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# cross join
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select t1.id, t2.id from alltypestiny t1 cross join alltypestiny t2
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where (t1.id < 3 and t2.id < 3)
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order by t1.id, t2.id limit 100
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---- RESULTS
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0,0
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0,1
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0,2
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1,0
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1,1
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1,2
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2,0
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2,1
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2,2
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---- TYPES
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int, int
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====
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---- QUERY
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# cross join with an empty table
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select t1.id, e.field from alltypestiny t1 cross join emptytable e
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---- RESULTS
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---- TYPES
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int, string
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====
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---- QUERY
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# check a larger cross join produces the expected number of rows
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select count(*) from functional.AllTypesSmall t1 cross join functional.AllTypesSmall t2
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---- RESULTS
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10000
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---- TYPES
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bigint
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====
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---- QUERY
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# cross join with nulls and constant table
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select id, tinyint_col, t1.c from functional.alltypesagg
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cross join (values(NULL c, 1, 2)) as t1
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order by tinyint_col nulls first, id, t1.c
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limit 6
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---- RESULTS
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0,NULL,NULL
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0,NULL,NULL
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10,NULL,NULL
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10,NULL,NULL
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20,NULL,NULL
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20,NULL,NULL
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---- TYPES
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int, tinyint, null
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====
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---- QUERY
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# check cross joins within a subquery
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select t1.id as t1_id, t2_id, t3_id from alltypestiny t1
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cross join (select t2.id as t2_id, t3.id as t3_id from alltypestiny t2
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cross join alltypestiny t3) t4
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where t1.id < 2 and t2_id < 2 and t3_id < 2
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order by t1.id, t2_id, t3_id
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limit 10
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---- RESULTS
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0,0,0
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0,0,1
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0,1,0
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0,1,1
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1,0,0
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1,0,1
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1,1,0
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1,1,1
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---- TYPES
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int, int, int
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====
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---- QUERY
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# cross join between two tables, extra where predicates, extra scan predicates, nulls in
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# joins cols (alltypesagg.tinyint_col contains nulls instead of 0s)
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select a.tinyint_col, b.id, a.string_col
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from alltypesagg a cross join alltypessmall b
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where a.tinyint_col = b.id
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and a.month=1
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and a.day=1
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and a.tinyint_col + b.tinyint_col < 5
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and a.string_col > '88'
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and b.bool_col = false
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---- RESULTS
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1,1,'91'
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1,1,'881'
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1,1,'891'
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1,1,'901'
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1,1,'911'
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1,1,'921'
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1,1,'931'
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1,1,'941'
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1,1,'951'
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1,1,'961'
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1,1,'971'
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1,1,'981'
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1,1,'991'
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---- TYPES
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tinyint, int, string
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====
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---- QUERY
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# join with three tables and then a cross join, extra where predicates, extra scan
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# predicates, nulls in joins cols (alltypesagg.tinyint_col contains nulls instead of
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# 0s)
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select a.smallint_col, b.id, a.tinyint_col, c.id, a.int_col, b.float_col, c.string_col, d.id
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from alltypesagg a
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join alltypessmall b on (a.smallint_col = b.id)
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join alltypessmall c on (a.tinyint_col = c.id)
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cross join alltypestiny d
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where a.month=1
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and a.day=1
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and a.int_col > 899
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and b.float_col > 4.5
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and c.string_col < '4'
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and a.int_col + b.float_col + cast(c.string_col as float) < 1000
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and d.id < 2
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order by a.id, b.id, c.id, d.id
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limit 100
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---- RESULTS
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31,31,1,1,931,6.599999904632568,'1',0
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31,31,1,1,931,6.599999904632568,'1',1
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32,32,2,2,932,7.699999809265137,'2',0
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32,32,2,2,932,7.699999809265137,'2',1
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33,33,3,3,933,8.800000190734863,'3',0
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33,33,3,3,933,8.800000190734863,'3',1
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41,41,1,1,941,6.599999904632568,'1',0
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41,41,1,1,941,6.599999904632568,'1',1
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42,42,2,2,942,7.699999809265137,'2',0
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42,42,2,2,942,7.699999809265137,'2',1
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43,43,3,3,943,8.800000190734863,'3',0
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43,43,3,3,943,8.800000190734863,'3',1
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81,81,1,1,981,6.599999904632568,'1',0
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81,81,1,1,981,6.599999904632568,'1',1
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82,82,2,2,982,7.699999809265137,'2',0
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82,82,2,2,982,7.699999809265137,'2',1
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83,83,3,3,983,8.800000190734863,'3',0
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83,83,3,3,983,8.800000190734863,'3',1
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91,91,1,1,991,6.599999904632568,'1',0
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91,91,1,1,991,6.599999904632568,'1',1
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---- TYPES
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SMALLINT, INT, TINYINT, INT, INT, FLOAT, STRING, INT
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====
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---- QUERY
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# FULL OUTER JOIN between two inline views followed by a GROUP BY (IMPALA-964)
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select a.x FROM (VALUES(1 x, 1 y)) a FULL OUTER JOIN (VALUES(1 x, 1 y)) b
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ON (a.x = b.y) GROUP BY a.x
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---- RESULTS
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1
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---- TYPES
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TINYINT
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====
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---- QUERY
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select 1 FROM (VALUES(1 x, 1 y)) a RIGHT OUTER JOIN (VALUES(1 x, 1 y)) b
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ON (a.x = b.y) GROUP BY a.x
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---- RESULTS
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1
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---- TYPES
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TINYINT
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====
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---- QUERY
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# Test joins with union inputs. One input is a union.
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select a.id, b.id, a.string_col, b.string_col
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from
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(select id, string_col from functional.alltypessmall
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where year = 2009 and month = 1
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union all
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select id, string_col from functional.alltypessmall
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where year = 2009 and month = 2
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union all
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select 0, '1234') a
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inner join
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functional.alltypestiny b
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on a.id = b.id
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where b.id < 5
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---- RESULTS
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0,0,'0','0'
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0,0,'1234','0'
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1,1,'1','1'
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2,2,'2','0'
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3,3,'3','1'
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4,4,'4','0'
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---- TYPES
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INT, INT, STRING, STRING
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====
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---- QUERY
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# Test joins with union inputs. One input is a union.
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select a.id, b.id, a.string_col, b.string_col
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from
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functional.alltypestiny b
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left outer join
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(select id, string_col from functional.alltypessmall
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where year = 2009 and month = 1
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union all
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select id, string_col from functional.alltypessmall
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where year = 2009 and month = 2
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union all
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select 0, '1234') a
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on a.id = b.id
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where b.id < 5
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---- RESULTS
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0,0,'0','0'
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0,0,'1234','0'
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1,1,'1','1'
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2,2,'2','0'
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3,3,'3','1'
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4,4,'4','0'
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---- TYPES
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INT, INT, STRING, STRING
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====
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---- QUERY
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# Test joins with union inputs. Both inputs are a union.
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select a.id, b.id, a.string_col, b.string_col
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from
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(select id, string_col from functional.alltypessmall
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where year = 2009 and month = 1
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union all
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select id, string_col from functional.alltypessmall
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where year = 2009 and month = 2
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union all
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select 0, '1234') a
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full outer join
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(select id, string_col from functional.alltypessmall
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where year = 2009 and month = 1
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union all
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select id, string_col from functional.alltypessmall
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where year = 2009 and month = 2
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union all
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select 0, '5678') b
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on a.id = b.id
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where b.id < 5
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---- RESULTS
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0,0,'0','0'
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0,0,'0','5678'
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0,0,'1234','0'
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0,0,'1234','5678'
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1,1,'1','1'
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2,2,'2','2'
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3,3,'3','3'
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4,4,'4','4'
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---- TYPES
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INT, INT, STRING, STRING
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====
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---- QUERY
|
|
# Regression test for IMPALA-1123. Tests that hash exchanges feeding the same
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# hash-partitioned fragment use type-identical partition exprs.
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select straight_join count(*) from
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(select tinyint_col from functional.alltypessmall
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union distinct
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select tinyint_col from functional.alltypessmall) a
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inner join [shuffle]
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(select smallint_col from functional.alltypessmall
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|
union distinct
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select smallint_col from functional.alltypessmall) b
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on a.tinyint_col = b.smallint_col
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---- RESULTS
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|
10
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---- TYPES
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|
BIGINT
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====
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---- QUERY
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|
# Regression test for IMPALA-1123. The plan below has one big hash-partitioned
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# fragment with two joins and a merge agg since their partition exprs are all
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# compatible. The single fragment is fed by multiple hash-partitioning senders,
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# and we need to ensure that the partition exprs used by the senders are cast
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# to identical types because the same value will have different hashes for
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# different types. Minimal explain plan:
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#
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# 15:AGGREGATE [MERGE FINALIZE]
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# 14:EXCHANGE [UNPARTITIONED]
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# 08:AGGREGATE
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# 07:HASH JOIN [INNER JOIN, PARTITIONED]
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# |--13:AGGREGATE [MERGE FINALIZE]
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# | 12:EXCHANGE [HASH(tinyint_col)]
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# | 05:AGGREGATE
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# | 04:SCAN HDFS [functional.alltypessmall]
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# 06:HASH JOIN [INNER JOIN, PARTITIONED]
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# |--03:HASH JOIN [INNER JOIN, PARTITIONED]
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# | |--10:EXCHANGE [HASH(t2.smallint_col)]
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# | | 02:SCAN HDFS [functional.alltypessmall t2]
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# | 09:EXCHANGE [HASH(t1.tinyint_col)]
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# | 01:SCAN HDFS [functional.alltypessmall t1]
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# 11:EXCHANGE [HASH(a.int_col)]
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# 00:SCAN HDFS [functional.alltypessmall a]
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#
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select straight_join count(*) from
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functional.alltypessmall a
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inner join [shuffle]
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(select straight_join t2.* from
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functional.alltypessmall t1
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inner join [shuffle]
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functional.alltypessmall t2
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on t1.tinyint_col = t2.smallint_col) b
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on a.int_col = b.smallint_col
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inner join [shuffle]
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(select distinct tinyint_col
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from functional.alltypessmall) c
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on a.int_col = c.tinyint_col
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---- RESULTS
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11200
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Same query as above with broadcast joins. Results should be identical.
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select straight_join count(*) from
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functional.alltypessmall a
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inner join [broadcast]
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(select straight_join t2.* from
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functional.alltypessmall t1
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inner join [broadcast]
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functional.alltypessmall t2
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on t1.tinyint_col = t2.smallint_col) b
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on a.int_col = b.smallint_col
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inner join [broadcast]
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(select distinct tinyint_col
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from functional.alltypessmall) c
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on a.int_col = c.tinyint_col
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---- RESULTS
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11200
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Regression test for IMPALA-1329
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select COUNT(t1.string_col) AS int_col_1 FROM alltypestiny t1
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LEFT JOIN alltypestiny t2 ON t2.date_string_col = t1.string_col
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LEFT JOIN alltypesagg t3 ON t3.id = t2.tinyint_col
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---- RESULTS
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8
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Regression test for IMPALA-1332
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select a.int_col from alltypesagg a
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RIGHT OUTER JOIN alltypesagg b
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using(int_col)
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where a.int_col is NULL limit 1
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---- RESULTS
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NULL
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---- TYPES
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INT
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====
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---- QUERY
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# Left outer join with non-equi join predicates
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select straight_join count(*) from
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alltypestiny a left outer join alltypes b on a.id < b.id
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where a.id < 5
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---- RESULTS
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36485
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Left semi join with non-equi join predicates
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select straight_join count(*) from
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alltypesagg a left semi join alltypestiny b on a.id >= b.id or a.int_col != b.int_col
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where a.tinyint_col < 10
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---- RESULTS
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9000
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Left anti join with non-equi join predicates
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select straight_join count(*) from
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alltypesagg a left anti join alltypestiny b on a.id < b.id and a.int_col > b.int_col
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---- RESULTS
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10994
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Inner and left outer joins with non-equi join predicates
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select straight_join count(*) from
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alltypesagg a inner join alltypes b on a.id < b.id
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left outer join alltypestiny c
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on a.int_col != c.int_col or a.tinyint_col > c.tinyint_col
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where a.smallint_col < 2
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---- RESULTS
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2038096
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Inner, left-semi and left-anti joins with non-equi join predicates
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select straight_join count(*) from
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alltypestiny a left semi join alltypesagg b on a.id != b.id
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left anti join alltypes c on a.int_col < c.int_col
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inner join alltypestiny d on a.int_col = d.int_col
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where a.tinyint_col < 10
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---- RESULTS
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0
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Joins with non-equi join predicates between inline views
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select straight_join count(*) from
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(select * from alltypestiny where id < 10) v1
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inner join
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(select * from alltypesagg a left semi join
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alltypes b on a.id < b.id) v2
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on v1.int_col != v2.tinyint_col
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---- RESULTS
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49632
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---- TYPES
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BIGINT
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====
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---- QUERY
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# IMPALA-2319: NLJ with limit
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select straight_join t1.id, t2.bool_col
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from functional.alltypes t1
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cross join functional.alltypes t2 where t1.id = 0 limit 1;
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---- RESULTS
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0,true
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---- TYPES
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INT,BOOLEAN
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====
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---- QUERY
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# IMPALA-2147: IS [NOT] DISTINCT FROM and "<=>"
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select count(*) > 0
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from alltypesagg as a, alltypesagg as b
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where (a.tinyint_col IS DISTINCT FROM b.tinyint_col)
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and a.tinyint_col is null
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---- RESULTS
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true
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---- TYPES
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BOOLEAN
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====
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---- QUERY
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select count(*) > 0
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from alltypesagg as a, alltypesagg as b
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where (a.tinyint_col IS NOT DISTINCT FROM b.tinyint_col)
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and a.tinyint_col is null
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---- RESULTS
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true
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---- TYPES
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BOOLEAN
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====
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---- QUERY
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select count(*) > 0
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from alltypesagg as a, alltypesagg as b
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where (a.tinyint_col <=> b.tinyint_col)
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and a.tinyint_col is null
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---- RESULTS
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true
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---- TYPES
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BOOLEAN
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====
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---- QUERY
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# left joins with <=> are different from left joins with =
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select P.d, Q.d, Q.b, Q.b is null
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from nulltable P left join nulltable Q
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on P.d = Q.d
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---- RESULTS
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NULL,NULL,'NULL',true
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---- TYPES
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INT,INT,STRING,BOOLEAN
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====
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---- QUERY
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select P.d, Q.d, Q.b
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from nulltable P left join nulltable Q
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on P.d <=> Q.d
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---- RESULTS
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NULL,NULL,''
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---- TYPES
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INT,INT,STRING
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====
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---- QUERY
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select count(*)
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from nulltable P left anti join nulltable Q
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on P.d = Q.d
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---- RESULTS
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1
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---- TYPES
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BIGINT
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====
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---- QUERY
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select count(*)
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from nulltable P left anti join nulltable Q
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on P.d <=> Q.d
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---- RESULTS
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0
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---- TYPES
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BIGINT
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====
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---- QUERY
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# Test that 'IS DISTINCT FROM' works in nested loop joins
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select count(*) from nulltable t1, nulltable t2 where not(t1.d != t2.d)
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---- RESULTS
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0
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---- TYPES
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BIGINT
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====
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---- QUERY
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select t1.d, t2.d from nulltable t1, nulltable t2 where not(t1.d IS DISTINCT FROM t2.d)
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---- RESULTS
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NULL,NULL
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---- TYPES
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INT,INT
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====
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---- QUERY
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select count(*) from nulltable t1, nulltable t2
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where t1.d != length(t2.a)
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---- RESULTS
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0
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---- TYPES
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BIGINT
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====
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---- QUERY
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select t1.d, t2.a from nulltable t1, nulltable t2
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where t1.d IS DISTINCT FROM length(t2.a)
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---- RESULTS
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NULL,'a'
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---- TYPES
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INT,STRING
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====
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---- QUERY
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select t1.a, t1.b, t2.a, t2.b from
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(values
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(NULL a, NULL b), (NULL, 0), (NULL, 1),
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(0, NULL), (0, 0), (0, 1),
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(1, NULL), (1, 0), (1, 1)) as t1,
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(values
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(NULL a, NULL b), (NULL, 0), (NULL, 1),
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(0, NULL), (0, 0), (0, 1),
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(1, NULL), (1, 0), (1, 1)) as t2
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where t1.a <=> t2.a
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and t1.b <=> t2.b
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order by t1.a, t1.b, t2.a, t2.b
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---- RESULTS
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0,0,0,0
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0,1,0,1
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0,NULL,0,NULL
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1,0,1,0
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1,1,1,1
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1,NULL,1,NULL
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NULL,0,NULL,0
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NULL,1,NULL,1
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NULL,NULL,NULL,NULL
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---- TYPES
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TINYINT,TINYINT,TINYINT,TINYINT
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====
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---- QUERY
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select t1.a, t1.b, t2.a, t2.b from
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(values
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(NULL a, NULL b), (NULL, 0), (NULL, 1),
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(0, NULL), (0, 0), (0, 1),
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(1, NULL), (1, 0), (1, 1)) as t1,
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(values
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(NULL a, NULL b), (NULL, 0), (NULL, 1),
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(0, NULL), (0, 0), (0, 1),
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(1, NULL), (1, 0), (1, 1)) as t2
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where t1.a <=> t2.a
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and t1.b = t2.b
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order by t1.a, t1.b, t2.a, t2.b
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---- RESULTS
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0,0,0,0
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0,1,0,1
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1,0,1,0
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1,1,1,1
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NULL,0,NULL,0
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NULL,1,NULL,1
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---- TYPES
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TINYINT,TINYINT,TINYINT,TINYINT
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====
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---- QUERY
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# Regression test for IMPALA-3645. Certain UDFs may do local allocations in Expr::Open().
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# Make sure the DCHECK in PartitionedHashJoinNode::ProcessBuildInput() doesn't fire.
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select count(*) from functional.alltypesagg t1 join functional.alltypesagg t2
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on extract(minute from t1.timestamp_col) = extract(hour from t2.timestamp_col);
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---- RESULTS
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2042200
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---- TYPES
|
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BIGINT
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====
|