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https://issues.apache.org/jira/browse/SPARK-11788?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15018928#comment-15018928
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Apache Spark commented on SPARK-11788:
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User 'huaxingao' has created a pull request for this issue:
https://github.com/apache/spark/pull/9872
> Using java.sql.Timestamp and java.sql.Date in where clauses on JDBC
> dataframes causes SQLServerException
> --------------------------------------------------------------------------------------------------------
>
> Key: SPARK-11788
> URL: https://issues.apache.org/jira/browse/SPARK-11788
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 1.5.2
> Reporter: Martin Tapp
>
> I have a MSSQL table that has a timestamp column and am reading it using
> DataFrameReader.jdbc. Adding a where clause which compares a timestamp range
> causes a SQLServerException.
> The problem is in
> https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala#L264
> (compileValue) which should surround timestamps/dates with quotes (only does
> it for strings).
> Sample pseudo-code:
> val beg = new java.sql.Timestamp(...)
> val end = new java.sql.Timestamp(...)
> val filtered = jdbcdf.where($"TIMESTAMP_COLUMN" >= beg && $"TIMESTAMP_COLUMN"
> < end)
> Generated SQL query: "TIMESTAMP_COLUMN >= 2015-01-01 00:00:00.0"
> Query should use quotes around timestamp: "TIMESTAMP_COLUMN >= '2015-01-01
> 00:00:00.0'"
> Fallback is to filter client-side which is extremely inefficient as the whole
> table needs to be downloaded to each Spark executor.
> Thanks
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