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From "Greg Michalopoulos (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (SPARK-10856) SQL Server dialect needs to map java.sql.Timestamp to DATETIME instead of TIMESTAMP
Date Tue, 27 Feb 2018 16:43:00 GMT

    [ https://issues.apache.org/jira/browse/SPARK-10856?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16378904#comment-16378904
] 

Greg Michalopoulos commented on SPARK-10856:
--------------------------------------------

I am facing an issue with one of the datatypes (bit) suggested by [~henrikbehrens] for patching. 
Was this addressed in another bug?  I am using Spark 2.1.1.

> SQL Server dialect needs to map java.sql.Timestamp to DATETIME instead of TIMESTAMP
> -----------------------------------------------------------------------------------
>
>                 Key: SPARK-10856
>                 URL: https://issues.apache.org/jira/browse/SPARK-10856
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 1.4.0, 1.4.1, 1.5.0
>            Reporter: Henrik Behrens
>            Assignee: Liang-Chi Hsieh
>            Priority: Major
>              Labels: patch
>             Fix For: 1.6.0
>
>
> When saving a DataFrame to MS SQL Server, en error is thrown if there is more than one
TIMESTAMP column:
> df.printSchema
> root
>  |-- Id: string (nullable = false)
>  |-- TypeInformation_CreatedBy: string (nullable = false)
>  |-- TypeInformation_ModifiedBy: string (nullable = true)
>  |-- TypeInformation_TypeStatus: integer (nullable = false)
>  |-- TypeInformation_CreatedAtDatabase: timestamp (nullable = false)
>  |-- TypeInformation_ModifiedAtDatabase: timestamp (nullable = true)
> df.write.mode("overwrite").jdbc(url, tablename, props)
> com.microsoft.sqlserver.jdbc.SQLServerException: A table can only have one timestamp
column. Because table 'DebtorTypeSet1' already has one, the column 'TypeInformation_ModifiedAtDatabase'
cannot be added.
>         at com.microsoft.sqlserver.jdbc.SQLServerException.makeFromDatabaseError
> (SQLServerException.java:217)
>         at com.microsoft.sqlserver.jdbc.SQLServerStatement.getNextResult(SQLServ
> erStatement.java:1635)
>         at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.doExecutePrep
> aredStatement(SQLServerPreparedStatement.java:426)
>         at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement$PrepStmtExecC
> md.doExecute(SQLServerPreparedStatement.java:372)
>         at com.microsoft.sqlserver.jdbc.TDSCommand.execute(IOBuffer.java:6276)
>         at com.microsoft.sqlserver.jdbc.SQLServerConnection.executeCommand(SQLSe
> rverConnection.java:1793)
>         at com.microsoft.sqlserver.jdbc.SQLServerStatement.executeCommand(SQLSer
> verStatement.java:184)
>         at com.microsoft.sqlserver.jdbc.SQLServerStatement.executeStatement(SQLS
> erverStatement.java:159)
>         at com.microsoft.sqlserver.jdbc.SQLServerPreparedStatement.executeUpdate
> (SQLServerPreparedStatement.java:315)
> I tested this on Windows and SQL Server 12 using Spark 1.4.1.
> I think this can be fixed in a similar way to Spark-10419.
> As a refererence, here is the type mapping according to the SQL Server JDBC driver (basicDT.java,
extracted from sqljdbc_4.2.6420.100_enu.exe):
>    private static void displayRow(String title, ResultSet rs) {
>       try {
>          System.out.println(title);
>          System.out.println(rs.getInt(1) + " , " +  		// SQL integer type.
>                rs.getString(2) + " , " +            		// SQL char type.
>                rs.getString(3) + " , " +            		// SQL varchar type.
>                rs.getBoolean(4) + " , " +           		// SQL bit type.
>                rs.getDouble(5) + " , " +            		// SQL decimal type.
>                rs.getDouble(6) + " , " +            		// SQL money type.
>                rs.getTimestamp(7) + " , " +        		// SQL datetime type.
>                rs.getDate(8) + " , " +              		// SQL date type.
>                rs.getTime(9) + " , " +              		// SQL time type.
>                rs.getTimestamp(10) + " , " +            	// SQL datetime2 type.
>                ((SQLServerResultSet)rs).getDateTimeOffset(11)); // SQL datetimeoffset
type. 



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