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Posted to issues@spark.apache.org by "Dongjoon Hyun (Jira)" <ji...@apache.org> on 2020/08/10 01:41:00 UTC
[jira] [Updated] (SPARK-32393) Add tests for all the character
types in PostgresIntegrationSuite
[ https://issues.apache.org/jira/browse/SPARK-32393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Dongjoon Hyun updated SPARK-32393:
----------------------------------
Summary: Add tests for all the character types in PostgresIntegrationSuite (was: PostgreSQL: blank-padded, fixed length character arrays are not supported)
> Add tests for all the character types in PostgresIntegrationSuite
> -----------------------------------------------------------------
>
> Key: SPARK-32393
> URL: https://issues.apache.org/jira/browse/SPARK-32393
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 3.0.0
> Reporter: Jakub Korzeniowski
> Assignee: Takeshi Yamamuro
> Priority: Minor
> Fix For: 3.0.1, 3.1.0
>
>
> Attempting to read the following table:
> {code:java}
> CREATE TABLE test_table (
> test_column char(64)[]
> )
> {code}
> results in the following exception:
> {code:java}
> java.sql.SQLException: Unsupported type ARRAY
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.getCatalystType(JdbcUtils.scala:256)
> at org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.$anonfun$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:339)
> at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:279)
> at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:268)
> at scala.Option.getOrElse(Option.scala:189)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:268)
> at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:203)
> {code}
> non-array and varchar equivalents are fine.
>
> I've tracked it down to an internal function of the postgres dialect, that accounts for the special 1-byte char, but doesn't deal with different length ones, which postgres represents as bpchar: [https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala#L60-L61].
> Relevant driver code can be found here: [https://github.com/pgjdbc/pgjdbc/blob/master/pgjdbc/src/main/java/org/postgresql/jdbc/TypeInfoCache.java#L85-L87]
>
> I'll submit a fix shortly
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