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impala/testdata/workloads/functional-query/queries/QueryTest/kudu_insert.test
Matthew Jacobs a16a0fa84d IMPALA-5137: Support Kudu UNIXTIME_MICROS as Impala TIMESTAMP 
Adds Impala support for TIMESTAMP types stored in Kudu.

Impala stores TIMESTAMP values in 96-bits and has nanosecond
precision. Kudu's timestamp is a 64-bit microsecond delta
from the Unix epoch (called UNIXTIME_MICROS), so a conversion
is necessary.

When writing to Kudu, TIMESTAMP values in nanoseconds are
averaged to the nearest microsecond.

When reading from Kudu, the KuduScanner returns
UNIXTIME_MICROS with 8bytes of padding so Impala can convert
the value to a TimestampValue in-line and copy the entire
row.

Testing:
Updated the functional_kudu schema to use TIMESTAMPs instead
of converting to STRING, so this provides some decent
coverage. Some BE tests were added, and some EE tests as
well.

TODO: Support pushing down TIMESTAMP predicates
TODO: Support TIMESTAMPs in range partitioning expressions

Change-Id: Iae6ccfffb79118a9036fb2227dba3a55356c896d
Reviewed-on: http://gerrit.cloudera.org:8080/6526
Reviewed-by: Matthew Jacobs <mj@cloudera.com>
Tested-by: Impala Public Jenkins
2017-05-11 20:55:51 +00:00

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====
---- QUERY
create table tdata
(id int primary key, valf float null, vali bigint null, valv string null,
valb boolean null, valt tinyint null, vals smallint null, vald double null,
ts timestamp)
PARTITION BY RANGE (PARTITION VALUES < 10, PARTITION 10 <= VALUES < 30,
PARTITION 30 <= VALUES) STORED AS KUDU
---- RESULTS
====
---- QUERY
# VALUES, single row, all target cols, no errors
insert into tdata values (1, 1, 1, 'one', true, 1, 1, 1,
cast('1987-05-19 00:00:00' as timestamp))
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# VALUES, single row, all target cols, NULL
insert into tdata values (2, NULL, NULL, NULL, NULL, NULL, NULL, NULL, NULL)
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# VALUES, single row, all target cols, boundary values. The timestamp value is the max
# possible value that Impala can represent; it gets truncated rather than rounded up to
# the nearest microsecond. If it were rounded up, it wouldn't be readable by Impala.
insert into tdata values
(3, cast('nan' as float), max_bigint(), '', true, min_tinyint(), max_smallint(),
cast('-inf' as double),
nanoseconds_add(cast('9999-12-31 23:59:59' as timestamp), 999999999))
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# VALUES, single row, subset of target cols
insert into tdata (valb, vald, id) values (true, 0, 4)
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# VALUES, multiple rows, all target cols
insert into tdata values
(5, 5.0, 5, 'five', false, NULL, NULL, NULL, NULL),
(6, 16, 60, '', true, 0, -1, -6, cast('2010-12-31 23:59:59' as timestamp)),
(7, NULL, 10, NULL, false, max_tinyint(), -7, 2, cast('1400-01-01 00:00:00' as timestamp))
---- RUNTIME_PROFILE
NumModifiedRows: 3
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
5,5.0,5,'five',false,NULL,NULL,NULL,NULL
6,16,60,'',true,0,-1,-6,2010-12-31 23:59:59
7,NULL,10,'NULL',false,127,-7,2,1400-01-01 00:00:00
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# VALUES, multiple rows, subset of cols
insert into tdata (valv, valf, vali, id) values
('eight', 88, 888, 8),
(NULL, -9, -99, 9)
---- RUNTIME_PROFILE
NumModifiedRows: 2
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
5,5.0,5,'five',false,NULL,NULL,NULL,NULL
6,16,60,'',true,0,-1,-6,2010-12-31 23:59:59
7,NULL,10,'NULL',false,127,-7,2,1400-01-01 00:00:00
8,88,888,'eight',NULL,NULL,NULL,NULL,NULL
9,-9,-99,'NULL',NULL,NULL,NULL,NULL,NULL
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# SELECT, single row, all target cols
insert into tdata
select id, float_col, bigint_col, string_col, bool_col, tinyint_col, smallint_col,
double_col, timestamp_col
from functional.alltypes where id = 10
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
5,5.0,5,'five',false,NULL,NULL,NULL,NULL
6,16,60,'',true,0,-1,-6,2010-12-31 23:59:59
7,NULL,10,'NULL',false,127,-7,2,1400-01-01 00:00:00
8,88,888,'eight',NULL,NULL,NULL,NULL,NULL
9,-9,-99,'NULL',NULL,NULL,NULL,NULL,NULL
10,0,0,'0',true,0,0,0,2009-01-02 00:10:00.450000000
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# SELECT, single row, subset of cols
insert into tdata (id, vald, valb, vali, ts)
select id, double_col, bool_col, bigint_col, timestamp_col
from functional.alltypes where id = 11
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
1,1,1,'one',true,1,1,1,1987-05-19 00:00:00
2,NULL,NULL,'NULL',NULL,NULL,NULL,NULL,NULL
3,NaN,9223372036854775807,'',true,-128,32767,-Infinity,9999-12-31 23:59:59.999999000
4,NULL,NULL,'NULL',true,NULL,NULL,0,NULL
5,5.0,5,'five',false,NULL,NULL,NULL,NULL
6,16,60,'',true,0,-1,-6,2010-12-31 23:59:59
7,NULL,10,'NULL',false,127,-7,2,1400-01-01 00:00:00
8,88,888,'eight',NULL,NULL,NULL,NULL,NULL
9,-9,-99,'NULL',NULL,NULL,NULL,NULL,NULL
10,0,0,'0',true,0,0,0,2009-01-02 00:10:00.450000000
11,NULL,10,'NULL',false,NULL,NULL,10.1,2009-01-02 00:11:00.450000000
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
delete tdata
---- DML_RESULTS: tdata
====
---- QUERY
# SELECT, multiple rows, all target cols
insert into tdata
select id, float_col, bigint_col, string_col, bool_col, tinyint_col, smallint_col,
double_col, timestamp_col
from functional.alltypes where id < 2
---- RUNTIME_PROFILE
NumModifiedRows: 2
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
0,0,0,'0',true,0,0,0,2009-01-01 00:00:00
1,1.100000023841858,10,'1',false,1,1,10.1,2009-01-01 00:01:00
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# SELECT, multiple rows, subset of cols
insert into tdata (vals, id, valt, vald, ts)
select smallint_col, id, tinyint_col, double_col, timestamp_col
from functional.alltypes where id > 2 and id < 6
---- RUNTIME_PROFILE
NumModifiedRows: 3
NumRowErrors: 0
---- LABELS
ID, VALF, VALI, VALV, VALB, VALT, VALS, VALD, TS
---- DML_RESULTS: tdata
0,0,0,'0',true,0,0,0,2009-01-01 00:00:00
1,1.100000023841858,10,'1',false,1,1,10.1,2009-01-01 00:01:00
3,NULL,NULL,'NULL',NULL,3,3,30.3,2009-01-01 00:03:00.300000000
4,NULL,NULL,'NULL',NULL,4,4,40.4,2009-01-01 00:04:00.600000000
5,NULL,NULL,'NULL',NULL,5,5,50.5,2009-01-01 00:05:00.100000000
---- TYPES
INT,FLOAT,BIGINT,STRING,BOOLEAN,TINYINT,SMALLINT,DOUBLE,TIMESTAMP
====
---- QUERY
# Make sure we can insert empty strings into string columns and that we can scan them
# back.
insert into tdata values (320, 2.0, 932, cast('' as string), false, 0, 0, 0, NULL)
---- RESULTS
: 1
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
====
---- QUERY
select id, valv, valb from tdata where id = 320;
---- RESULTS
320,'',false
---- TYPES
INT,STRING,BOOLEAN
====
---- QUERY
insert into tdata values
(666, cast(1.2 as float), 43, cast('z' as string), true, 0, 0, 0, NULL)
---- RESULTS
: 1
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
====
---- QUERY
# insert row with primary key that already exists
insert into tdata values
(666, cast(1.2 as float), 43, cast('z' as VARCHAR(20)), true, 0, 0, 0, NULL)
---- RESULTS
: 0
---- RUNTIME_PROFILE
NumModifiedRows: 0
NumRowErrors: 1
====
---- QUERY
create table kudu_test_tbl primary key(id)
partition by range(id) (partition values < 100, partition 100 <= values <= 10000)
stored as kudu as
select * from functional_kudu.alltypes where id < 100;
---- RESULTS
'Inserted 100 row(s)'
---- RUNTIME_PROFILE
NumModifiedRows: 100
NumRowErrors: 0
====
---- QUERY
insert into kudu_test_tbl
select * from functional_kudu.alltypes where id < 100;
---- RESULTS
: 0
---- RUNTIME_PROFILE
NumModifiedRows: 0
NumRowErrors: 100
====
---- QUERY
# large insert - 100 rows were already inserted above and result in errors
insert into kudu_test_tbl
select * from functional_kudu.alltypes;
---- RESULTS
: 7200
---- RUNTIME_PROFILE
NumModifiedRows: 7200
NumRowErrors: 100
====
---- QUERY
# Insert rows that are not covered by any of the existing range partitions
# Only the row at 10000 is inserted.
insert into kudu_test_tbl SELECT cast(id + 10000 as int), bool_col, tinyint_col,
smallint_col, int_col, bigint_col, float_col, double_col, date_string_col, string_col,
timestamp_col, year, month
from functional_kudu.alltypes
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 7299
====
---- QUERY
# Table with all supported types as primary key and distribution columns
create table allkeytypes (i1 tinyint, i2 smallint, i3 int, i4 bigint, name string,
valf float, vald double, primary key (i1, i2, i3, i4, name)) partition by
hash partitions 3, range (partition value = (1,1,1,1,'1'),
partition value = (2,2,2,2,'2'), partition value = (3,3,3,3,'3')) stored as kudu
---- RESULTS
====
---- QUERY
insert into allkeytypes select cast(id as tinyint), smallint_col, int_col,
cast (bigint_col/10 as bigint), string_col, float_col, double_col
from functional.alltypes where id > 0 and id < 10
---- RESULTS
: 3
---- RUNTIME_PROFILE
NumModifiedRows: 3
NumRowErrors: 6
====
---- QUERY
# Table with default values
create table tbl_with_defaults (a int primary key, b int null default 10,
c int not null default 100, d int default 1000, e int null, f int not null,
g string default 'test', h boolean default true) partition by hash (a)
partitions 3 stored as kudu
---- RESULTS
====
---- QUERY
insert into tbl_with_defaults (a, f) values (1, 1), (2, 2), (3, 3), (4, 4)
---- RUNTIME_PROFILE
NumModifiedRows: 4
NumRowErrors: 0
---- LABELS
A, B, C, D, E, F, G, H
---- DML_RESULTS: tbl_with_defaults
1,10,100,1000,NULL,1,'test',true
2,10,100,1000,NULL,2,'test',true
3,10,100,1000,NULL,3,'test',true
4,10,100,1000,NULL,4,'test',true
---- TYPES
INT,INT,INT,INT,INT,INT,STRING,BOOLEAN
====
---- QUERY
insert into tbl_with_defaults values (5, 5, 5, 5, 5, 5, 'row', false)
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
---- LABELS
A, B, C, D, E, F, G, H
---- DML_RESULTS: tbl_with_defaults
1,10,100,1000,NULL,1,'test',true
2,10,100,1000,NULL,2,'test',true
3,10,100,1000,NULL,3,'test',true
4,10,100,1000,NULL,4,'test',true
5,5,5,5,5,5,'row',false
---- TYPES
INT,INT,INT,INT,INT,INT,STRING,BOOLEAN
====
---- QUERY
alter table tbl_with_defaults add columns (i int null, j int not null default 10000)
---- RESULTS
====
---- QUERY
select * from tbl_with_defaults
---- RESULTS
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
---- TYPES
INT,INT,INT,INT,INT,INT,STRING,BOOLEAN,INT,INT
====
---- QUERY
insert into tbl_with_defaults values (6,6,6,6,6,6,'another row',false,6,6)
---- RUNTIME_PROFILE
NumModifiedRows: 1
NumRowErrors: 0
---- LABELS
A, B, C, D, E, F, G, H, I, J
---- DML_RESULTS: tbl_with_defaults
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
# 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
====
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