Jakub Korzeniowski created SPARK-32393:
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Summary: 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
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
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