mirror of
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synced 2026-01-01 18:00:30 -05:00
A recent change (IMPALA-5498) added the ability to do partial sorts,
which divide their input up into runs each of which is sorted
individually, avoiding the need to spill. Some of the debug output
wasn't updated vs. regular sorts, leading to confusion.
This patch removes the counters 'SpilledRuns' and 'MergesPerformed'
since they will always be 0, and it renames the 'IntialRunsCreated'
counter to 'RunsCreated' since the 'Initial' refers to the fact that
in a regular sort those runs may be spilled or merged.
It also adds a profile info string 'SortType' that can take the values
'Total', 'TopN', or 'Partial' to reflect the type of exec node being
used.
Example profile snippet for a partial sort:
SORT_NODE (id=2):(Total: 403.261us, non-child: 382.029us, % non-child: 94.73%)
SortType: Partial
ExecOption: Codegen Enabled
- NumRowsPerRun: (Avg: 44 (44) ; Min: 44 (44) ; Max: 44 (44) ; Number of samples: 1)
- InMemorySortTime: 34.201us
- PeakMemoryUsage: 2.02 MB (2117632)
- RowsReturned: 44 (44)
- RowsReturnedRate: 109.11 K/sec
- RunsCreated: 1 (1)
- SortDataSize: 572.00 B (572)
Testing:
- Manually ran several sorting queries and inspected their profiles
- Updated a kudu_insert test that relied on the 'SpilledRuns' counter
to be 0 for a partial sort.
Change-Id: I2b15af78d8299db8edc44ff820c85db1cbe0be1b
Reviewed-on: http://gerrit.cloudera.org:8080/8123
Reviewed-by: Tim Armstrong <tarmstrong@cloudera.com>
Tested-by: Impala Public Jenkins
454 lines
14 KiB
Plaintext
454 lines
14 KiB
Plaintext
====
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---- QUERY
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create table tdata
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(id int primary key, valf float null, vali bigint null, valv string null,
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valb boolean null, valt tinyint null, vals smallint null, vald double null,
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ts timestamp)
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PARTITION BY RANGE (PARTITION VALUES < 10, PARTITION 10 <= VALUES < 30,
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PARTITION 30 <= VALUES) STORED AS KUDU
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---- RESULTS
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====
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---- QUERY
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# VALUES, single row, all target cols, no errors
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insert into tdata values (1, 1, 1, 'one', true, 1, 1, 1,
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cast('1987-05-19 00:00:00' as timestamp))
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# VALUES, single row, all target cols, NULL
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insert into tdata values (2, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL)
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
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2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# VALUES, single row, all target cols, boundary values. The timestamp value is the max
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# possible value that Impala can represent; it gets truncated rather than rounded up to
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# the nearest microsecond. If it were rounded up, it wouldn't be readable by Impala.
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insert into tdata values
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(3, cast('nan' as float), max_bigint(), '', true, min_tinyint(), max_smallint(),
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cast('-inf' as double),
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nanoseconds_add(cast('9999-12-31 23:59:59' as timestamp), 999999999))
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
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2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
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3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# VALUES, single row, subset of target cols
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insert into tdata (valb, vald, id) values (true, 0, 4)
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
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2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
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3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
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4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# VALUES, multiple rows, all target cols
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insert into tdata values
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(5, 5.0, 5, 'five', false, NULL, NULL, NULL, NULL),
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(6, 16, 60, '', true, 0, -1, -6, cast('2010-12-31 23:59:59' as timestamp)),
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(7, NULL, 10, NULL, false, max_tinyint(), -7, 2, cast('1400-01-01 00:00:00' as timestamp))
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---- RUNTIME_PROFILE
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NumModifiedRows: 3
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
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2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
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3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
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4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
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5,5.0,5,'five',false,NULL,NULL,NULL,NULL
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6,16,60,'',true,0,-1,-6,2010-12-31 23:59:59
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7,NULL,10,'NULL',false,127,-7,2,1400-01-01 00:00:00
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# VALUES, multiple rows, subset of cols
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insert into tdata (valv, valf, vali, id) values
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('eight', 88, 888, 8),
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(NULL, -9, -99, 9)
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---- RUNTIME_PROFILE
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NumModifiedRows: 2
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
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2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
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3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
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4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
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5,5.0,5,'five',false,NULL,NULL,NULL,NULL
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6,16,60,'',true,0,-1,-6,2010-12-31 23:59:59
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7,NULL,10,'NULL',false,127,-7,2,1400-01-01 00:00:00
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8,88,888,'eight',NULL,NULL,NULL,NULL,NULL
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9,-9,-99,'NULL',NULL,NULL,NULL,NULL,NULL
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# SELECT, single row, all target cols
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insert into tdata
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select id, float_col, bigint_col, string_col, bool_col, tinyint_col, smallint_col,
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double_col, timestamp_col
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from functional.alltypes where id = 10
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
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2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
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3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
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4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
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5,5.0,5,'five',false,NULL,NULL,NULL,NULL
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6,16,60,'',true,0,-1,-6,2010-12-31 23:59:59
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7,NULL,10,'NULL',false,127,-7,2,1400-01-01 00:00:00
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8,88,888,'eight',NULL,NULL,NULL,NULL,NULL
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9,-9,-99,'NULL',NULL,NULL,NULL,NULL,NULL
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10,0,0,'0',true,0,0,0,2009-01-02 00:10:00.450000000
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# SELECT, single row, subset of cols
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insert into tdata (id, vald, valb, vali, ts)
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select id, double_col, bool_col, bigint_col, timestamp_col
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from functional.alltypes where id = 11
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
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2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
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3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
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4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
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5,5.0,5,'five',false,NULL,NULL,NULL,NULL
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6,16,60,'',true,0,-1,-6,2010-12-31 23:59:59
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7,NULL,10,'NULL',false,127,-7,2,1400-01-01 00:00:00
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8,88,888,'eight',NULL,NULL,NULL,NULL,NULL
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9,-9,-99,'NULL',NULL,NULL,NULL,NULL,NULL
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10,0,0,'0',true,0,0,0,2009-01-02 00:10:00.450000000
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11,NULL,10,'NULL',false,NULL,NULL,10.1,2009-01-02 00:11:00.450000000
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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delete tdata
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---- DML_RESULTS: tdata
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====
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---- QUERY
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# SELECT, multiple rows, all target cols
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insert into tdata
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select id, float_col, bigint_col, string_col, bool_col, tinyint_col, smallint_col,
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double_col, timestamp_col
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from functional.alltypes where id < 2
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---- RUNTIME_PROFILE
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NumModifiedRows: 2
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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0,0,0,'0',true,0,0,0,2009-01-01 00:00:00
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1,1.100000023841858,10,'1',false,1,1,10.1,2009-01-01 00:01:00
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# SELECT, multiple rows, subset of cols
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insert into tdata (vals, id, valt, vald, ts)
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select smallint_col, id, tinyint_col, double_col, timestamp_col
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from functional.alltypes where id > 2 and id < 6
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---- RUNTIME_PROFILE
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NumModifiedRows: 3
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NumRowErrors: 0
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---- LABELS
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ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
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---- DML_RESULTS: tdata
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0,0,0,'0',true,0,0,0,2009-01-01 00:00:00
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1,1.100000023841858,10,'1',false,1,1,10.1,2009-01-01 00:01:00
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3,NULL,NULL,'NULL',NULL,3,3,30.3,2009-01-01 00:03:00.300000000
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4,NULL,NULL,'NULL',NULL,4,4,40.4,2009-01-01 00:04:00.600000000
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5,NULL,NULL,'NULL',NULL,5,5,50.5,2009-01-01 00:05:00.100000000
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---- TYPES
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INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
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====
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---- QUERY
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# Make sure we can insert empty strings into string columns and that we can scan them
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# back.
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insert into tdata values (320, 2.0, 932, cast('' as string), false, 0, 0, 0, NULL)
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---- RESULTS
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: 1
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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====
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---- QUERY
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select id, valv, valb from tdata where id = 320;
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---- RESULTS
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320,'',false
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---- TYPES
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INT,STRING,BOOLEAN
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====
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---- QUERY
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insert into tdata values
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(666, cast(1.2 as float), 43, cast('z' as string), true, 0, 0, 0, NULL)
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---- RESULTS
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: 1
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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====
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---- QUERY
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# insert row with primary key that already exists
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insert into tdata values
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(666, cast(1.2 as float), 43, cast('z' as VARCHAR(20)), true, 0, 0, 0, NULL)
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---- RESULTS
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: 0
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---- RUNTIME_PROFILE
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NumModifiedRows: 0
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NumRowErrors: 1
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====
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---- QUERY
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create table kudu_test_tbl primary key(id)
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partition by range(id) (partition values < 100, partition 100 <= values <= 10000)
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stored as kudu as
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select * from functional_kudu.alltypes where id < 100;
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---- RESULTS
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'Inserted 100 row(s)'
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---- RUNTIME_PROFILE
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NumModifiedRows: 100
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NumRowErrors: 0
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====
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---- QUERY
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insert into kudu_test_tbl
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select * from functional_kudu.alltypes where id < 100;
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---- RESULTS
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: 0
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---- RUNTIME_PROFILE
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NumModifiedRows: 0
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NumRowErrors: 100
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====
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---- QUERY
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# large insert - 100 rows were already inserted above and result in errors
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insert into kudu_test_tbl
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select * from functional_kudu.alltypes;
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---- RESULTS
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: 7200
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---- RUNTIME_PROFILE
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NumModifiedRows: 7200
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NumRowErrors: 100
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====
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---- QUERY
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# Insert rows that are not covered by any of the existing range partitions
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# Only the row at 10000 is inserted.
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insert into kudu_test_tbl SELECT cast(id + 10000 as int), bool_col, tinyint_col,
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smallint_col, int_col, bigint_col, float_col, double_col, date_string_col, string_col,
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timestamp_col, year, month
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from functional_kudu.alltypes
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 7299
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====
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---- QUERY
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# Table with all supported types as primary key and distribution columns
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create table allkeytypes (i1 tinyint, i2 smallint, i3 int, i4 bigint, name string,
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valt timestamp, valf float, vald double, primary key (i1, i2, i3, i4, name, valt))
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partition by hash partitions 3, range
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(partition value = (1,1,1,1,'1','2009-01-01 00:01:00'),
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partition value = (2,2,2,2,'2','2009-01-01 00:02:00.100000000'),
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partition value = (3,3,3,3,'3','2009-01-01 00:03:00.300000000')) stored as kudu
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---- RESULTS
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====
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---- QUERY
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insert into allkeytypes select cast(id as tinyint), smallint_col, int_col,
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cast (bigint_col/10 as bigint), string_col, timestamp_col, float_col, double_col
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from functional.alltypes where id > 1 and id < 10
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---- RESULTS
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: 2
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---- RUNTIME_PROFILE
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NumModifiedRows: 2
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NumRowErrors: 6
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====
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---- QUERY
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# IMPALA-5871 - test that a cast is correctly added when inserting a string into a Kudu
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# timestamp partition column with distributed exec.
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set exec_single_node_rows_threshold=0;
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insert into allkeytypes values (1,1,1,1,'1','2009-01-01 00:01:00',null,null)
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---- RESULTS
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: 1
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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====
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---- QUERY
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# Table with default values
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create table tbl_with_defaults (a int primary key, b int null default 10,
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c int not null default 100, d int default 1000, e int null, f int not null,
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g string default 'test', h boolean default true) partition by hash (a)
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partitions 3 stored as kudu
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---- RESULTS
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====
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---- QUERY
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insert into tbl_with_defaults (a, f) values (1, 1), (2, 2), (3, 3), (4, 4)
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---- RUNTIME_PROFILE
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NumModifiedRows: 4
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NumRowErrors: 0
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---- LABELS
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A, B, C, D, E, F, G, H
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---- DML_RESULTS: tbl_with_defaults
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1,10,100,1000,NULL,1,'test',true
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2,10,100,1000,NULL,2,'test',true
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3,10,100,1000,NULL,3,'test',true
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4,10,100,1000,NULL,4,'test',true
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---- TYPES
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INT,INT,INT,INT,INT,INT,STRING,BOOLEAN
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====
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---- QUERY
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insert into tbl_with_defaults values (5, 5, 5, 5, 5, 5, 'row', false)
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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---- LABELS
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A, B, C, D, E, F, G, H
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---- DML_RESULTS: tbl_with_defaults
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1,10,100,1000,NULL,1,'test',true
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2,10,100,1000,NULL,2,'test',true
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3,10,100,1000,NULL,3,'test',true
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4,10,100,1000,NULL,4,'test',true
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5,5,5,5,5,5,'row',false
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---- TYPES
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INT,INT,INT,INT,INT,INT,STRING,BOOLEAN
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====
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---- QUERY
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alter table tbl_with_defaults add columns (i int null, j int not null default 10000)
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---- RESULTS
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====
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---- QUERY
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select * from tbl_with_defaults
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---- RESULTS
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1,10,100,1000,NULL,1,'test',true,NULL,10000
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2,10,100,1000,NULL,2,'test',true,NULL,10000
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3,10,100,1000,NULL,3,'test',true,NULL,10000
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4,10,100,1000,NULL,4,'test',true,NULL,10000
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5,5,5,5,5,5,'row',false,NULL,10000
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---- TYPES
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INT,INT,INT,INT,INT,INT,STRING,BOOLEAN,INT,INT
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====
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---- QUERY
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insert into tbl_with_defaults values (6,6,6,6,6,6,'another row',false,6,6)
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---- RUNTIME_PROFILE
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NumModifiedRows: 1
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NumRowErrors: 0
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---- LABELS
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A, B, C, D, E, F, G, H, I, J
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---- DML_RESULTS: tbl_with_defaults
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1,10,100,1000,NULL,1,'test',true,NULL,10000
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|
2,10,100,1000,NULL,2,'test',true,NULL,10000
|
|
3,10,100,1000,NULL,3,'test',true,NULL,10000
|
|
4,10,100,1000,NULL,4,'test',true,NULL,10000
|
|
5,5,5,5,5,5,'row',false,NULL,10000
|
|
6,6,6,6,6,6,'another row',false,6,6
|
|
---- TYPES
|
|
INT,INT,INT,INT,INT,INT,STRING,BOOLEAN,INT,INT
|
|
====
|
|
---- QUERY
|
|
# IMPALA-5217: Try to insert NULL to a 'NOT NULL' col with a target col list that leaves
|
|
# out some cols.
|
|
insert into tbl_with_defaults (a, c, f) values (0, null, 1)
|
|
---- RUNTIME_PROFILE
|
|
NumModifiedRows: 0
|
|
NumRowErrors: 1
|
|
====
|
|
---- QUERY
|
|
# IMPALA-5217: Insert NULL into a nullable col when a non-nullable col has been left out
|
|
# of the target col list.
|
|
insert into tbl_with_defaults (a, b, d, f) values (0, 0, null, 0)
|
|
---- RUNTIME_PROFILE
|
|
NumModifiedRows: 1
|
|
NumRowErrors: 0
|
|
---- LABELS
|
|
A, B, C, D, E, F, G, H, I, J
|
|
---- DML_RESULTS: tbl_with_defaults
|
|
0,0,100,NULL,NULL,0,'test',true,NULL,10000
|
|
1,10,100,1000,NULL,1,'test',true,NULL,10000
|
|
2,10,100,1000,NULL,2,'test',true,NULL,10000
|
|
3,10,100,1000,NULL,3,'test',true,NULL,10000
|
|
4,10,100,1000,NULL,4,'test',true,NULL,10000
|
|
5,5,5,5,5,5,'row',false,NULL,10000
|
|
6,6,6,6,6,6,'another row',false,6,6
|
|
---- TYPES
|
|
INT,INT,INT,INT,INT,INT,STRING,BOOLEAN,INT,INT
|
|
====
|
|
---- QUERY
|
|
create table multiple_partition_cols (x bigint, y bigint, z string, primary key(x, y))
|
|
partition by hash(x, y) partitions 8 stored as kudu
|
|
---- RESULTS
|
|
====
|
|
---- QUERY
|
|
# SELECT with constant
|
|
insert into multiple_partition_cols select 0, bigint_col, string_col
|
|
from functional.alltypes where id = 0
|
|
---- RUNTIME_PROFILE
|
|
NumModifiedRows: 1
|
|
NumRowErrors: 0
|
|
---- LABELS
|
|
X,Y,Z
|
|
---- DML_RESULTS: multiple_partition_cols
|
|
0,0,'0'
|
|
---- TYPES
|
|
BIGINT,BIGINT,STRING
|
|
====
|
|
---- QUERY
|
|
# SELECT with constant NULL
|
|
insert into multiple_partition_cols select bigint_col, null, string_col
|
|
from functional.alltypes where id = 1
|
|
---- RESULTS
|
|
: 0
|
|
---- RUNTIME_PROFILE
|
|
NumModifiedRows: 0
|
|
NumRowErrors: 1
|
|
====
|
|
---- QUERY
|
|
# IMPALA-5611 - test a large insert with a memory limit
|
|
set mem_limit=400m;
|
|
create table kudu_test primary key(a, b) partition by hash(a, b) partitions 8 stored as kudu as
|
|
select l_orderkey a, concat(l_comment, l_comment, l_comment) b from tpch.lineitem
|
|
---- RUNTIME_PROFILE
|
|
row_regex: .*SortType: Partial
|
|
====
|