[
https://issues.apache.org/jira/browse/SPARK-32393?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Jakub Korzeniowski updated SPARK-32393:
---------------------------------------
Description:
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$2(DataFrameReader.scala:268)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:268)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:203)
{code}
non-array and varchar equivalents are fine.
I've tracked it down to an internal function of the postgres dialect, that
accounts for the special 1-byte char, but doesn't deal with different length
ones, which postgres represents as bpchar:
[https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala#L60-L61].
I'll submit a fix shortly
was:
Attempting to read the following table:
{code:java}
CREATE TABLE test_table (
parent_ids char(64)[]
)
{code}
results in the following exception:
{code:java}
java.sql.SQLException: Unsupported type ARRAY
at
org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.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$2(DataFrameReader.scala:268)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:268)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:203)
{code}
non-array and varchar equivalents are fine.
I've tracked it down to an internal function of the postgres dialect, that
accounts for the special 1-byte char, but doesn't deal with different length
ones, which postgres represents as bpchar:
[https://github.com/apache/spark/blob/master/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala#L60-L61].
I'll submit a fix shortly
> PostgreSQL: blank-padded, fixed length character arrays are not supported
> -------------------------------------------------------------------------
>
> Key: SPARK-32393
> URL: https://issues.apache.org/jira/browse/SPARK-32393
> Project: Spark
> Issue Type: Bug
> Components: Input/Output
> Affects Versions: 3.0.0
> Reporter: Jakub Korzeniowski
> Priority: Minor
>
> Attempting to read the following table:
> {code:java}
> CREATE TABLE test_table (
> test_column char(64)[]
> )
> {code}
> results in the following exception:
> {code:java}
> java.sql.SQLException: Unsupported type ARRAY
> at
> org.apache.spark.sql.execution.datasources.jdbc.JdbcUtils$.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].
> I'll submit a fix shortly
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
