[Amazon](500310) Invalid operation: Assert - amazon-s3

I am using spark-redshift and querying redshift data using pyspark for processing.
The query works fine if i run on redshift using workbench etc.But spark-redshift unloads data to s3 and then retrieves it and it is throwing the following error when i run it.
py4j.protocol.Py4JJavaError: An error occurred while calling o124.save.
: java.sql.SQLException: [Amazon](500310) Invalid operation: Assert
Details:
-----------------------------------------------
error: Assert
code: 1000
context: !AmLeaderProcess -
query: 583860
location: scheduler.cpp:642
process: padbmaster [pid=31521]
-----------------------------------------------;
at com.amazon.redshift.client.messages.inbound.ErrorResponse.toErrorException(ErrorResponse.java:1830)
at com.amazon.redshift.client.PGMessagingContext.handleErrorResponse(PGMessagingContext.java:822)
at com.amazon.redshift.client.PGMessagingContext.handleMessage(PGMessagingContext.java:647)
at com.amazon.jdbc.communications.InboundMessagesPipeline.getNextMessageOfClass(InboundMessagesPipeline.java:312)
at com.amazon.redshift.client.PGMessagingContext.doMoveToNextClass(PGMessagingContext.java:1080)
at com.amazon.redshift.client.PGMessagingContext.getErrorResponse(PGMessagingContext.java:1048)
at com.amazon.redshift.client.PGClient.handleErrorsScenario2ForPrepareExecution(PGClient.java:2524)
at com.amazon.redshift.client.PGClient.handleErrorsPrepareExecute(PGClient.java:2465)
at com.amazon.redshift.client.PGClient.executePreparedStatement(PGClient.java:1420)
at com.amazon.redshift.dataengine.PGQueryExecutor.executePreparedStatement(PGQueryExecutor.java:370)
at com.amazon.redshift.dataengine.PGQueryExecutor.execute(PGQueryExecutor.java:245)
at com.amazon.jdbc.common.SPreparedStatement.executeWithParams(Unknown Source)
at com.amazon.jdbc.common.SPreparedStatement.execute(Unknown Source)
at com.databricks.spark.redshift.JDBCWrapper$$anonfun$executeInterruptibly$1.apply(RedshiftJDBCWrapper.scala:108)
at com.databricks.spark.redshift.JDBCWrapper$$anonfun$executeInterruptibly$1.apply(RedshiftJDBCWrapper.scala:108)
at com.databricks.spark.redshift.JDBCWrapper$$anonfun$2.apply(RedshiftJDBCWrapper.scala:126)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.liftedTree1$1(Future.scala:24)
at scala.concurrent.impl.Future$PromiseCompletingRunnable.run(Future.scala:24)
at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1149)
at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:624)
Caused by: com.amazon.support.exceptions.ErrorException: [Amazon](500310) Invalid operation: Assert
The query which gets generated:
UNLOAD ('SELECT “x”,”y" FROM (select x,y from table_name where
((load_date=20171226 and hour>=16) or (load_date between 20171227 and
20171226) or (load_date=20171227 and hour<=16))) ') TO ‘s3:s3path' WITH
CREDENTIALS ‘aws_access_key_id=xxx;aws_secret_access_key=yyy' ESCAPE
MANIFEST
What is the issue here and how can i resolve this.

Assert error usually happens when something is wrong with interpreting data types, for example for 2 parts of union query where column N in one part is varchar and in another part the same column is integer or null. Maybe your assertion error happens for data that comes from different nodes (just like in union query). Try to add explicit data formatting for each column like x::integer

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Thanks
This is wrong: set tablename=${hivevar:current_user()}; - it will not be resolved and substituted as is.
Hive does not calculate variables before substitution, it substitutes them as is, all functions in variables are NOT calculated. variables are just text replacement.
This:
set tablename=current_user();
CREATE TABLE `${hiveconf:tablename}_output_table` ...
gets resolved as
CREATE TABLE `current_user()_output_table` ...
And functions are not supported in table names, it will not work this way.
The solution is to calculate functions outside the script and pass them as parameters.
See this blog: https://prodlife.wordpress.com/2013/12/06/parameterizing-hive-actions-in-oozie-workflows/

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tbl_trans.hpp:398 process: padbmaster [pid=1572]
-----------------------------------------------;
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I found it. The problem is, oracle has not a stack trace type definition for errors. I was using a function in a select, but my db user had not got the grant to execute it, so Stupid Oracle tried to run it like, the function name is a column name. So it could not find a column name like it. So it hide the real problem...

Failing jdbc INSERT INTO statement to MS Access database

statement.executeUpdate("INSERT INTO countrylookup (Country, DialCode) VALUES('Iran', '957')")
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The access to the database itself is successful, and fetching values with a statement such as SELECT * FROM countrylookup succeeds.
I tried the preparedStatement approach aswell with the exact same result. The file is not open when I execute the command.
UPDATE: Stacktrace: (first row in Swedish means "INSERT INTO-expression contains the following unknown fieldname: 'Pa_RaM000'. Please check that the name is rightly spelled and try again.)
Exception in thread "main" java.sql.SQLException: [Microsoft][Drivrutin f?r ODBC Microsoft Access] INSERT INTO-uttrycket inneh?ller f?ljande ok?nda f?ltnamn: 'Pa_RaM000'. Kontrollera att namnet ?r r?ttstavat och f?rs?k igen.
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at MDBAccessor.insertValueIntoField(MDBAccessor.java:43)
at TestRunner.main(TestRunner.java:28)
Is dialcode numeric? If so, remove the quotes from the value.
VALUES('Iran', 957)
In order for the INSERT INTO statement to actually be reflected in the database you have to call connection.commit() followed by connection.close(). Another similar thread describing this: Java General Error On Insert...???