Francesco Guardiani created FLINK-26549:
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Summary: INSERT INTO with VALUES leads to wrong type inference
with nested types
Key: FLINK-26549
URL: https://issues.apache.org/jira/browse/FLINK-26549
Project: Flink
Issue Type: Bug
Components: Table SQL / Planner
Reporter: Francesco Guardiani
While working on casting, I've found out we have an interesting bug in the
insert values type inference. This comes from the
{{KafkaTableITCase#testKafkaSourceSinkWithMetadata}} (look at this version in
particular
https://github.com/apache/flink/blob/567440115bcacb5aceaf3304e486281c7da8c14f/flink-connectors/flink-connector-kafka/src/test/java/org/apache/flink/streaming/connectors/kafka/table/KafkaTableITCase.java).
The test scenario is an INSERT INTO VALUES query which is also pushing some
metadata to a Kafka table, in particular is writing the headers metadata.
The table is declared like that:
{code:sql}
CREATE TABLE kafka (
`physical_1` STRING,
`physical_2` INT,
`timestamp-type` STRING METADATA VIRTUAL,
`timestamp` TIMESTAMP(3) METADATA,
`leader-epoch` INT METADATA VIRTUAL,
`headers` MAP<STRING, BYTES> METADATA,
`partition` INT METADATA VIRTUAL,
`topic` STRING METADATA VIRTUAL,
`physical_3` BOOLEAN
) WITH (
'connector' = 'kafka',
[...]
)
{code}
The insert into query looks like:
{code:sql}
INSERT INTO kafka VALUES
('data 1', 1, TIMESTAMP '2020-03-08 13:12:11.123', MAP['k1', x'C0FFEE', 'k2',
x'BABE'], TRUE),
('data 2', 2, TIMESTAMP '2020-03-09 13:12:11.123', CAST(NULL AS MAP<STRING,
BYTES>), FALSE),
('data 3', 3, TIMESTAMP '2020-03-10 13:12:11.123', MAP['k1', X'10', 'k2',
X'20'], TRUE)
{code}
Note that in the first row, the byte literal is of length 3, while in the last
row the byte literal is of length 1.
The generated plan of this INSERT INTO is:
{code}
== Abstract Syntax Tree ==
LogicalSink(table=[default_catalog.default_database.kafka], fields=[physical_1,
physical_2, physical_3, headers, timestamp])
+- LogicalProject(physical_1=[$0], physical_2=[$1], physical_3=[$4],
headers=[CAST($3):(VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP],
timestamp=[CAST($2):TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)])
+- LogicalUnion(all=[true])
:- LogicalProject(EXPR$0=[_UTF-16LE'data 1'], EXPR$1=[1],
EXPR$2=[2020-03-08 13:12:11.123:TIMESTAMP(3)], EXPR$3=[MAP(_UTF-16LE'k1',
X'c0ffee':VARBINARY(3), _UTF-16LE'k2', X'babe':VARBINARY(3))], EXPR$4=[true])
: +- LogicalValues(tuples=[[{ 0 }]])
:- LogicalProject(EXPR$0=[_UTF-16LE'data 2'], EXPR$1=[2],
EXPR$2=[2020-03-09 13:12:11.123:TIMESTAMP(3)],
EXPR$3=[null:(VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP], EXPR$4=[false])
: +- LogicalValues(tuples=[[{ 0 }]])
+- LogicalProject(EXPR$0=[_UTF-16LE'data 3'], EXPR$1=[3],
EXPR$2=[2020-03-10 13:12:11.123:TIMESTAMP(3)], EXPR$3=[MAP(_UTF-16LE'k1',
X'10':BINARY(1), _UTF-16LE'k2', X'20':BINARY(1))], EXPR$4=[true])
+- LogicalValues(tuples=[[{ 0 }]])
== Optimized Physical Plan ==
Sink(table=[default_catalog.default_database.kafka], fields=[physical_1,
physical_2, physical_3, headers, timestamp])
+- Union(all=[true], union=[physical_1, physical_2, physical_3, headers,
timestamp])
:- Calc(select=[_UTF-16LE'data 1' AS physical_1, 1 AS physical_2, true AS
physical_3, CAST(CAST(MAP(_UTF-16LE'k1', X'c0ffee':VARBINARY(3), _UTF-16LE'k2',
X'babe':VARBINARY(3)) AS (CHAR(2) CHARACTER SET "UTF-16LE" NOT NULL, BINARY(1)
NOT NULL) MAP) AS (VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP) AS headers, CAST(2020-03-08
12:12:11.123:TIMESTAMP_WITH_LOCAL_TIME_ZONE(3) AS
TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS timestamp])
: +- Values(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
:- Calc(select=[_UTF-16LE'data 2' AS physical_1, 2 AS physical_2, false AS
physical_3, null:(VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP AS headers, CAST(2020-03-09
12:12:11.123:TIMESTAMP_WITH_LOCAL_TIME_ZONE(3) AS
TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS timestamp])
: +- Values(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
+- Calc(select=[_UTF-16LE'data 3' AS physical_1, 3 AS physical_2, true AS
physical_3, CAST(MAP(_UTF-16LE'k1', X'10':BINARY(1), _UTF-16LE'k2',
X'20':BINARY(1)) AS (VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP) AS headers, CAST(2020-03-10
12:12:11.123:TIMESTAMP_WITH_LOCAL_TIME_ZONE(3) AS
TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS timestamp])
+- Values(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
== Optimized Execution Plan ==
Sink(table=[default_catalog.default_database.kafka], fields=[physical_1,
physical_2, physical_3, headers, timestamp])
+- Union(all=[true], union=[physical_1, physical_2, physical_3, headers,
timestamp])
:- Calc(select=['data 1' AS physical_1, 1 AS physical_2, true AS physical_3,
CAST(CAST(MAP('k1', X'c0ffee', 'k2', X'babe') AS (CHAR(2), BINARY(1)) MAP) AS
(VARCHAR(2147483647), VARBINARY(2147483647)) MAP) AS headers, CAST(2020-03-08
12:12:11.123 AS TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS timestamp])
: +- Values(tuples=[[{ 0 }]])(reuse_id=[1])
:- Calc(select=['data 2' AS physical_1, 2 AS physical_2, false AS
physical_3, null:(VARCHAR(2147483647), VARBINARY(2147483647)) MAP AS headers,
CAST(2020-03-09 12:12:11.123 AS TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS
timestamp])
: +- Reused(reference_id=[1])
+- Calc(select=['data 3' AS physical_1, 3 AS physical_2, true AS physical_3,
CAST(MAP('k1', X'10', 'k2', X'20') AS (VARCHAR(2147483647),
VARBINARY(2147483647)) MAP) AS headers, CAST(2020-03-10 12:12:11.123 AS
TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS timestamp])
+- Reused(reference_id=[1])
{code}
As you see, in the _Abstract Syntax Tree_ section a casting for the headers is
injected (although unnecessary, as it should be an identity cast), but then in
_Optimized Physical Plan_ another casting is injected:
{code}
CAST(CAST(MAP(_UTF-16LE'k1', X'c0ffee':VARBINARY(3), _UTF-16LE'k2',
X'babe':VARBINARY(3)) AS (CHAR(2) CHARACTER SET "UTF-16LE" NOT NULL, BINARY(1)
NOT NULL) MAP) AS (VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP) AS headers
{code}
Which makes no sense, as it's casting the values of the map first to
{{BINARY(1)}} and then to {{BYTES}}, causing to trigger the last 2 bytes.
Removing the last row to insert makes the VALUES type inference work properly:
{code}
== Abstract Syntax Tree ==
LogicalSink(table=[default_catalog.default_database.kafka], fields=[physical_1,
physical_2, physical_3, headers, timestamp])
+- LogicalProject(physical_1=[$0], physical_2=[$1], physical_3=[$4],
headers=[$3], timestamp=[CAST($2):TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)])
+- LogicalUnion(all=[true])
:- LogicalProject(EXPR$0=[_UTF-16LE'data 1'], EXPR$1=[1],
EXPR$2=[2020-03-08 13:12:11.123:TIMESTAMP(3)], EXPR$3=[MAP(_UTF-16LE'k1',
X'c0ffee':VARBINARY(3), _UTF-16LE'k2', X'babe':VARBINARY(3))], EXPR$4=[true])
: +- LogicalValues(tuples=[[{ 0 }]])
+- LogicalProject(EXPR$0=[_UTF-16LE'data 2'], EXPR$1=[2],
EXPR$2=[2020-03-09 13:12:11.123:TIMESTAMP(3)],
EXPR$3=[null:(VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP], EXPR$4=[false])
+- LogicalValues(tuples=[[{ 0 }]])
== Optimized Physical Plan ==
Sink(table=[default_catalog.default_database.kafka], fields=[physical_1,
physical_2, physical_3, headers, timestamp])
+- Union(all=[true], union=[physical_1, physical_2, physical_3, headers,
timestamp])
:- Calc(select=[_UTF-16LE'data 1' AS physical_1, 1 AS physical_2, true AS
physical_3, CAST(MAP(_UTF-16LE'k1', X'c0ffee':VARBINARY(3), _UTF-16LE'k2',
X'babe':VARBINARY(3)) AS (VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP) AS headers, CAST(2020-03-08
12:12:11.123:TIMESTAMP_WITH_LOCAL_TIME_ZONE(3) AS
TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS timestamp])
: +- Values(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
+- Calc(select=[_UTF-16LE'data 2' AS physical_1, 2 AS physical_2, false AS
physical_3, null:(VARCHAR(2147483647) CHARACTER SET "UTF-16LE",
VARBINARY(2147483647)) MAP AS headers, CAST(2020-03-09
12:12:11.123:TIMESTAMP_WITH_LOCAL_TIME_ZONE(3) AS
TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS timestamp])
+- Values(type=[RecordType(INTEGER ZERO)], tuples=[[{ 0 }]])
== Optimized Execution Plan ==
Sink(table=[default_catalog.default_database.kafka], fields=[physical_1,
physical_2, physical_3, headers, timestamp])
+- Union(all=[true], union=[physical_1, physical_2, physical_3, headers,
timestamp])
:- Calc(select=['data 1' AS physical_1, 1 AS physical_2, true AS physical_3,
CAST(MAP('k1', X'c0ffee', 'k2', X'babe') AS (VARCHAR(2147483647),
VARBINARY(2147483647)) MAP) AS headers, CAST(2020-03-08 12:12:11.123 AS
TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS timestamp])
: +- Values(tuples=[[{ 0 }]])(reuse_id=[1])
+- Calc(select=['data 2' AS physical_1, 2 AS physical_2, false AS
physical_3, null:(VARCHAR(2147483647), VARBINARY(2147483647)) MAP AS headers,
CAST(2020-03-09 12:12:11.123 AS TIMESTAMP_WITH_LOCAL_TIME_ZONE(3)) AS
timestamp])
+- Reused(reference_id=[1])
{code}
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