Redshift - Glue Dynamic Data Frame Error

Question

Hi,  
  
First time glue user and would like some help.  
  
Having trouble building a custom data frame connecting to redshift cluster and moving data from one table to another within the same cluster, i had no issues connecting to aurora or rds and doing the same activity. _The weird thing about this is that the crawler connects to redshift cluster successfully and populates the data catalog with the desired tables._  
  
Glue Job Run Feedback (Job Id:: jr_4968961060836ce01c57a6d9a5f0f1873b44292dccbd06706da031164383f481)  
  
Error: Py4JJavaError: An error occurred while calling o59.getDynamicFrame.  
  
Script:  
  
import sys  
from awsglue.transforms import *  
from awsglue.utils import getResolvedOptions  
from pyspark.context import SparkContext  
from awsglue.context import GlueContext  
from awsglue.job import Job  
  
args = getResolvedOptions(sys.argv, \['TempDir','JOB_NAME'])  
  
sc = SparkContext()  
glueContext = GlueContext(sc)  
spark = glueContext.spark_session  
job = Job(glueContext)  
job.init(args\['JOB_NAME'], args)  
datasource0 = glueContext.create_dynamic_frame.from_catalog(database = "rsft_beta_glue_views", table_name = "mgdwstage_glue_views_daily_unique_opens_by_cust_table_stg", redshift_tmp_dir = args\["TempDir"], transformation_ctx = "datasource0")  
applymapping1 = ApplyMapping.apply(frame = datasource0, mappings = \[("activity_date", "date", "activity_date", "date"), ("customer_id", "int", "customer_id", "int"), ("num_unique_opens", "long", "num_unique_opens", "long")], transformation_ctx = "applymapping1")  
selectfields2 = SelectFields.apply(frame = applymapping1, paths = \["activity_date", "customer_id", "num_unique_opens"], transformation_ctx = "selectfields2")  
datasink5 = glueContext.write_dynamic_frame.from_catalog(frame = selectfields2, database = "rsft_beta_glue_views", table_name = "mgdwstage_glue_views_daily_unique_opens_by_cust_table", redshift_tmp_dir = args\["TempDir"], transformation_ctx = "datasink5")  
job.commit()  
  
Thanks  
KI  
  
Edited by: DatumVeritas on Aug 29, 2017 12:51 PM

Answer

Hi,  
  
I am getting similar error with Zeppelin notebook on complaining about "Py4JJavaError: An error occurred while calling getDynamicFrame".  
  
I am having Glue connecting with RDS. Below is the exception stack:  
  
_Traceback (most recent call last):_  
  _File "/tmp/zeppelin_pyspark-1897882756365177437.py", line 349, in _  
    _raise Exception(traceback.format_exc())_  
_Exception: Traceback (most recent call last):_  
  _File "/tmp/zeppelin_pyspark-1897882756365177437.py", line 337, in _  
    _exec(code)_  
  _File "", line 1, in _  
  _File "/usr/share/aws/glue/etl/python/PyGlue.zip/awsglue/dynamicframe.py", line 508, in from_catalog_  
    _return self._glue_context.create_dynamic_frame_from_catalog(db, table_name, redshift_tmp_dir, transformation_ctx, **kwargs)_  
  _File "/usr/share/aws/glue/etl/python/PyGlue.zip/awsglue/context.py", line 120, in create_dynamic_frame_from_catalog_  
    _return source.getFrame(**kwargs)_  
  _File "/usr/share/aws/glue/etl/python/PyGlue.zip/awsglue/data_source.py", line 36, in getFrame_  
    _jframe = self._jsource.getDynamicFrame()_  
  _File "/usr/lib/spark/python/lib/py4j-0.10.4-src.zip/py4j/java_gateway.py", line 1133, in __call___  
    _answer, self.gateway_client, self.target_id, self.name)_  
  _File "/usr/lib/spark/python/pyspark/sql/utils.py", line 63, in deco_  
    _return f(*a, **kw)_  
  _File "/usr/lib/spark/python/lib/py4j-0.10.4-src.zip/py4j/protocol.py", line 319, in get_return_value_  
    _format(target_id, ".", name), value)_  
_Py4JJavaError: An error occurred while calling o1201.getDynamicFrame._  
_: java.lang.NullPointerException_  
_	at java.util.Hashtable.put(Hashtable.java:459)_  
_	at java.util.Hashtable.putAll(Hashtable.java:523)_  
_	at com.amazonaws.services.glue.util.JDBCUtils$class.mergeProperties(JDBCUtils.scala:40)_  
_	at com.amazonaws.services.glue.util.OracleUtils$.mergeProperties(JDBCUtils.scala:69)_  
_	at com.amazonaws.services.glue.util.JDBCWrapper.getRawConnection(JDBCUtils.scala:549)_  
_	at com.amazonaws.services.glue.JDBCDataSource.getPrimaryKeys(DataSource.scala:392)_  
_	at com.amazonaws.services.glue.JDBCDataSource.getDynamicFrame(DataSource.scala:354)_  
_	at com.amazonaws.services.glue.DataSource$class.getDynamicFrame(DataSource.scala:45)_  
_	at com.amazonaws.services.glue.SparkSQLDataSource.getDynamicFrame(DataSource.scala:317)_  
_	at sun.reflect.GeneratedMethodAccessor76.invoke(Unknown Source)_  
_	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:357)_  
_	at py4j.Gateway.invoke(Gateway.java:280)_  
_	at py4j.commands.AbstractCommand.invokeMethod(AbstractCommand.java:132)_  
_	at py4j.commands.CallCommand.execute(CallCommand.java:79)_  
_	at py4j.GatewayConnection.run(GatewayConnection.java:214)_  
_	at java.lang.Thread.run(Thread.java:748)_

Answer

Update: AWS Glue Tech Support solved my case.  
  
AWS Community: It seems like a limitation with Glue ETL job doesn't liking a special char Redshift Password but the Data Catalog has no issues with it.

Redshift - Glue Dynamic Data Frame Error

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