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Posted to issues@spark.apache.org by "antonkulaga (JIRA)" <ji...@apache.org> on 2018/08/22 17:02:00 UTC
[jira] [Created] (SPARK-25198)
org.apache.spark.sql.catalyst.parser.ParseException: DataType json is not
supported.
antonkulaga created SPARK-25198:
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Summary: org.apache.spark.sql.catalyst.parser.ParseException: DataType json is not supported.
Key: SPARK-25198
URL: https://issues.apache.org/jira/browse/SPARK-25198
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.3.1
Environment: Ubuntu 18.04, Spark 2.3.1, org.postgresql:postgresql:42.2.4
Reporter: antonkulaga
Whenever I try to save the dataframe with one of the columns with JSON string inside to the latest Postgres I get org.apache.spark.sql.catalyst.parser.ParseException: DataType json is not supported. As Postgres supports JSON well and I use the latest postgresql client I expect it to work. Here is an example of the code that crashes
val columnTypes = """id integer, parameters json, title text, gsm text, gse text, organism text, characteristics text, molecule text, model text, description text, treatment_protocol text, extract_protocol text, source_name text,data_processing text, submission_date text,last_update_date text, status text, type text, contact text, gpl text"""
myDataframe.write.format("jdbc").option("url", "jdbc:postgresql://db/sequencing").option("customSchema", columnTypes).option("dbtable", "test").option("user", "postgres").option("password", "changeme").save()
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