Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

SnowflakeSQLLoggedException: No response or invalid response from GET request. Error: {} #537

Open
mauriciojost opened this issue Dec 19, 2023 · 3 comments

Comments

@mauriciojost
Copy link

mauriciojost commented Dec 19, 2023

We're using this library, in version v2.12.0-spark_3.4. We're running a Spark 3.4 streaming query with foreachBatch(...) in append mode that writes into Snowflake.

The function called by foreachBatch(...) looks something like this:

    inputStreamingDf.write
      .format(SNOWFLAKE_SOURCE_SHORT_NAME)
      .option("column_mapping", "name")
      .options(options)
      .option("dbtable", outputTableName)
      .mode(SaveMode.Append)
      .save()

While running the query, we observe failures with this stacktrace:

Caused by: net.snowflake.client.jdbc.SnowflakeSQLLoggedException: No response or invalid response from GET request. Error: {}
    at net.snowflake.client.core.SFSession.getQueryStatus(SFSession.java:190)
    at net.snowflake.client.jdbc.SFAsyncResultSet.getStatus(SFAsyncResultSet.java:101)
    at net.snowflake.client.jdbc.SFAsyncResultSet.getRealResults(SFAsyncResultSet.java:162)
    at net.snowflake.client.jdbc.SFAsyncResultSet.getMetaData(SFAsyncResultSet.java:277)
    at net.snowflake.spark.snowflake.io.StageWriter$.executeCopyIntoTable(StageWriter.scala:603)
    at net.snowflake.spark.snowflake.io.StageWriter$.writeToTableWithStagingTable(StageWriter.scala:471)
    at net.snowflake.spark.snowflake.io.StageWriter$.writeToTable(StageWriter.scala:299)
    at net.snowflake.spark.snowflake.io.StageWriter$.writeToStage(StageWriter.scala:238)
    at net.snowflake.spark.snowflake.io.package$.writeRDD(package.scala:106)
    at net.snowflake.spark.snowflake.SnowflakeWriter.save(SnowflakeWriter.scala:91)
    at net.snowflake.spark.snowflake.DefaultSource.createRelation(DefaultSource.scala:156)
    at org.apache.spark.sql.execution.datasources.SaveIntoDataSourceCommand.run(SaveIntoDataSourceCommand.scala:49)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.$anonfun$sideEffectResult$1(commands.scala:82)
    at com.databricks.spark.util.FrameProfiler$.record(FrameProfiler.scala:94)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult$lzycompute(commands.scala:80)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.sideEffectResult(commands.scala:79)
    at org.apache.spark.sql.execution.command.ExecutedCommandExec.executeCollect(commands.scala:91)
    at org.apache.spark.sql.execution.QueryExecution$$anonfun$$nestedInanonfun$eagerlyExecuteCommands$1$1.$anonfun$applyOrElse$3(QueryExecution.scala:272)
    at org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:166)
  ...

Interestingly we observe that despite the failures, everything is correctly pushed to Snowflake. The failures occur randomly, we failed to correlate it with variables like number of rows transfered, duration or write, etc.

We understand that StageWriter.executeCopyIntoTable(...) (https://github.com/snowflakedb/spark-snowflake/blob/v2.12.0-spark_3.4/src/main/scala/net/snowflake/spark/snowflake/io/StageWriter.scala#L489) can be run in two modes, depending on the value of params.isExecuteQueryWithSyncMode.

  1. Could you share some insight on why this could be happening?
  2. What is your advice in the short-term as a workaround? Would you recommend tweaking params.isExecuteQueryWithSyncMode to bypass that section of the code, if not, why?

Thanks for your help,

Mauricio & @danjok

@XinEDprob
Copy link

Hi @mauriciojost, did you solve this issue? I encountered the same error a few weeks ago and could not find a solution.

@mauriciojost
Copy link
Author

mauriciojost commented Mar 25, 2024

For now all is working perfectly with this streaming option:

...
.option("params.isExecuteQueryWithSyncMode", "true")
...

It completely bypasses the call status async wait code section, which is where the original issue occurs (see stack-trace).

@XinEDprob
Copy link

@mauriciojost thanks for the update. I also noticed that it seems the root cause of this issue is from snowflake JDBC and it was confirmed that is something needed to improve.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

2 participants