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https://issues.apache.org/jira/browse/SPARK-33813?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Apache Spark reassigned SPARK-33813:
------------------------------------
Assignee: (was: Apache Spark)
> JDBC datasource fails when reading spatial datatypes with the MS SQL driver
> ---------------------------------------------------------------------------
>
> Key: SPARK-33813
> URL: https://issues.apache.org/jira/browse/SPARK-33813
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 3.0.0, 3.1.0
> Reporter: Michał Świtakowski
> Priority: Major
>
> The MS SQL JDBC driver introduced support for spatial types since version
> 7.0. The JDBC data source lacks mappings for these types which results in an
> exception below. It seems that a mapping in
> MsSqlServerDialect.getCatalystType that maps -157 and -158 typecode to
> VARBINARY should address the issue.
>
> {noformat}
> java.sql.SQLException: Unrecognized SQL type -157
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.getCatalystType(JdbcUtils.scala:251)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$getSchema$1(JdbcUtils.scala:321)
> at scala.Option.getOrElse(Option.scala:189)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.getSchema(JdbcUtils.scala:321)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JDBCRDD$.resolveTable(JDBCRDD.scala:63)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JDBCRelation$.getSchema(JDBCRelation.scala:226)
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcRelationProvider.createRelation(JdbcRelationProvider.scala:35)
> at
> org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:364)
> at
> org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:366)
> at
> org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:355)
> at scala.Option.getOrElse(Option.scala:189)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:355)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:240)
> at
> org.apache.spark.sql.DataFrameReader.jdbc(DataFrameReader.scala:381){noformat}
>
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