You can't.
Thin client can only be used as a generic JDBC data source in Spark.
The point of the connector is improving performance by spreading out the
query with the Spark/MR integration, but the thin client only talks to the
pqs server, and cannot access the cluster otherwise.
Istvan
On Fri, Dec 22, 2023 at 4:58 AM luoc <l...@apache.org> wrote:
> Hi all,
>
> How can I using pyspark connect PQS with sqlContext?
>
> // fat client
> df = sqlContext.read \
> .format("org.apache.phoenix.spark") \
> .option("table", "TABLE1") \
> .option("zkUrl", "localhost:2181") \
> .load()
>
> How to do this using the thin client?
>
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