Connection Databricks Postgresql

[nadia]

I use Databricks and I try to connect to posgresql via the following code

"jdbcHostname = "xxxxxxx"

jdbcDatabase = "xxxxxxxxxxxx"

jdbcPort = "5432"

username = "xxxxxxx"

password = "xxxxxxxx"

jdbcUrl = "jdbc:postgresql://{0}:{1}/{2}".format(jdbcHostname, jdbcPort, jdbcDatabase)

connectionProperties = {

      "user" : username,

      "password" : password,

      "driver" : "org.postgresql.Driver"

    }

df = spark.read.jdbc(url=jdbcUrl, table= "xxxxxxxxx" , properties=connectionProperties)"

I try to read a table that is 28 million rows and here is the error message;

"SparkException: Job aborted due to stage failure: Task 0 in stage 3.0 failed 4 times, most recent failure: Lost task 0.3 in stage 3.0 (TID 6) (10.139.64.5 executor 4): ExecutorLostFailure (executor 4 exited caused by one of the running tasks) Reason: Executor heartbeat timed out after 150527 ms"

Could you help me please

Thanks

[Prabakar · Accepted solution]

hi @Boumaza nadia​ Please check the Ganglia metrics for the cluster. This could be a scalability issue where cluster is overloading. This can happen due to a large partition not fitting into the given executor's memory. To fix this we recommend bumping up the worker node type. Switch to a bigger worker node instance to mitigate the issue.