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https://issues.apache.org/jira/browse/BEAM-4562?focusedWorklogId=121660&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-121660
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ASF GitHub Bot logged work on BEAM-4562:
----------------------------------------
Author: ASF GitHub Bot
Created on: 10/Jul/18 22:26
Start Date: 10/Jul/18 22:26
Worklog Time Spent: 10m
Work Description: akedin commented on issue #5918: BEAM-4562: [SQL] Fix
INSERT VALUES in JDBC
URL: https://github.com/apache/beam/pull/5918#issuecomment-403985745
LGTM
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Issue Time Tracking
-------------------
Worklog Id: (was: 121660)
Time Spent: 0.5h (was: 20m)
> [SQL] Fix INSERT VALUES in JdbcDriver
> --------------------------------------
>
> Key: BEAM-4562
> URL: https://issues.apache.org/jira/browse/BEAM-4562
> Project: Beam
> Issue Type: Improvement
> Components: dsl-sql
> Reporter: Anton Kedin
> Assignee: Andrew Pilloud
> Priority: Major
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> Executing INSERT VALUES against JdbcDriver fails. Executing similar
> statements against BeamSqlEnv works fine. Example:
> {code:java}
> TestTableProvider tableProvider = new TestTableProvider();
> Connection connection = JdbcDriver.connect(tableProvider);
> connection
> .createStatement()
> .executeUpdate("CREATE TABLE person (id BIGINT, name VARCHAR) TYPE
> 'test'");
> connection.createStatement().executeQuery("INSERT INTO person VALUES(3,
> 'yyy')");
> {code}
> Output:
> {code}
> java.sql.SQLException: Error while executing SQL "INSERT INTO person
> VALUES(3, 'yyy')": Node [rel#9:Subset#1.ENUMERABLE.[]] could not be
> implemented; planner state:
> Root: rel#9:Subset#1.ENUMERABLE.[]
> Original rel:
> BeamIOSinkRel(subset=[rel#9:Subset#1.ENUMERABLE.[]], table=[[beam, person]],
> operation=[INSERT], flattened=[false]): rowcount = 1.0, cumulative cost =
> {1.0 rows, 0.0 cpu, 0.0 io}, id = 6
> LogicalValues(subset=[rel#5:Subset#0.NONE.[]], tuples=[[{ 3, 'yyy' }]]):
> rowcount = 1.0, cumulative cost = {1.0 rows, 1.0 cpu, 0.0 io}, id = 0
> Sets:
> Set#0, type: RecordType(BIGINT id, VARCHAR name)
> rel#5:Subset#0.NONE.[], best=null, importance=0.81
> rel#0:LogicalValues.NONE.[[0, 1], [1]](type=RecordType(BIGINT
> id, VARCHAR name),tuples=[{ 3, 'yyy' }]), rowcount=1.0, cumulative cost={inf}
> rel#14:Subset#0.BEAM_LOGICAL.[], best=null, importance=0.81
> rel#20:Subset#0.ENUMERABLE.[], best=rel#19, importance=0.405
> rel#19:EnumerableValues.ENUMERABLE.[[0, 1],
> [1]](type=RecordType(BIGINT id, VARCHAR name),tuples=[{ 3, 'yyy' }]),
> rowcount=1.0, cumulative cost={1.0 rows, 1.0 cpu, 0.0 io}
> Set#1, type: RecordType(BIGINT ROWCOUNT)
> rel#7:Subset#1.BEAM_LOGICAL.[], best=null, importance=0.9
>
> rel#6:BeamIOSinkRel.BEAM_LOGICAL.[](input=rel#5:Subset#0.NONE.[],table=[beam,
> person],operation=INSERT,flattened=false), rowcount=1.0, cumulative cost={inf}
>
> rel#15:BeamIOSinkRel.BEAM_LOGICAL.[](input=rel#14:Subset#0.BEAM_LOGICAL.[],table=[beam,
> person],operation=INSERT,flattened=false), rowcount=1.0, cumulative
> cost={inf}
> rel#9:Subset#1.ENUMERABLE.[], best=null, importance=1.0
>
> rel#10:AbstractConverter.ENUMERABLE.[](input=rel#7:Subset#1.BEAM_LOGICAL.[],convention=ENUMERABLE,sort=[]),
> rowcount=1.0, cumulative cost={inf}
>
> rel#11:BeamEnumerableConverter.ENUMERABLE.[](input=rel#7:Subset#1.BEAM_LOGICAL.[]),
> rowcount=1.0, cumulative cost={inf}{code}
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