I've been trying to connect to RedShift following Databrick's documentation and validated that I'm using runtime version 11.3 on my cluster and that I have read/write privileges on the tempdir bucket. But, I'm unable to load data from RedShift to a Spark data frame in a notebook.
My code:
rsSQL = f"select * from {schema}.{tbl_name} where {field} in ('{data_date}')"
rsRDD = (spark.read
.format("redshift")
.option("query", rsSQL)
.option("tempdir", "s3://MYBUCKET")
.option("url", f"jdbc:redshift://{rs['host']}")
.option("user", rs['user'])
.option("password", rs['pwd'])
.option("forward_spark_s3_credentials", True)
.load()
)
Error received:
Py4JJavaError: An error occurred while calling o659.load.
: java.lang.NullPointerException
at com.databricks.spark.redshift.RedshiftRelation.$anonfun$schema$1(RedshiftRelation.scala:80)
at scala.Option.getOrElse(Option.scala:189)
at com.databricks.spark.redshift.RedshiftRelation.schema$lzycompute(RedshiftRelation.scala:73)
at com.databricks.spark.redshift.RedshiftRelation.schema(RedshiftRelation.scala:72)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:498)
at org.apache.spark.sql.DataFrameReader.loadV1Source(DataFrameReader.scala:375)
at org.apache.spark.sql.DataFrameReader.$anonfun$load$2(DataFrameReader.scala:331)
at scala.Option.getOrElse(Option.scala:189)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:331)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:223)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:244)
at py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:380)
at py4j.Gateway.invoke(Gateway.java:306)
at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)
at py4j.commands.CallCommand.execute(CallCommand.java:79)
at py4j.ClientServerConnection.waitForCommands(ClientServerConnection.java:195)
at py4j.ClientServerConnection.run(ClientServerConnection.java:115)
at java.lang.Thread.run(Thread.java:750)
According to the documentation, for runtime 11.2 and above, Databricks Runtime includes the Redshift JDBC driver, accessible using the Redshift keyword for the format option, but this doesn't seems to be working for me, is there something I'm missing?
