I am executing a simple transformer pipeline on EMR cluster (6.5.0). EMR logs show that the job is successful, but the transformer pipeline fails with error “START_ERROR: Application has completed. Clearing staged files..”. What could be the issue here? Pipeline logs are as below:2023-01-27 10:44:46,788 INFO Current Step Status is PENDING. Waiting for 30 seconds before checking status again.. EMRAppLauncher *842bf273-5a66-11ed-b52a-ab8a97a1d11f@b601f953-5a66-11ed-b8e4-b31442db6663 runner-pool-2-thread-292023-01-27 10:45:16,824 INFO Application started successfully. Current Status is RUNNING EMRAppLauncher *842bf273-5a66-11ed-b52a-ab8a97a1d11f@b601f953-5a66-11ed-b8e4-b31442db6663 runner-pool-2-thread-292023-01-27 10:45:16,824 INFO DataTransformerLauncher start method finished DataTransformerLauncher *842bf273-5a66-11ed-b52a-ab8a97a1d11f@b601f953-5a66-11ed-b8e4-b31442db6663 runner-pool-2-thread-292023-01-27 10:46:16,857 INFO
HiI have created a simple transformer pipeline trying to run on EMR cluster. In Cluster configuration I have used required configuration details.Facing below issue, Can anyone help me this?
how to write rest api in python code..
We were trying to configure, JDBC multitable consumer using python SDK 5.0. We were able to set below configurations:JDBC_consumer = pipeline_builder.add_stage('JDBC Multitable Consumer')JDBC_consumer.jdbc_connection_string = 'jdbc:mysql://mysqldb:3306/zomato'JDBC_consumer.username = '****'JDBC_consumer.password = '****'However, not able to set table config. Same with Azure Data Lake Storage, we are able to set below configurations:Azure_storage.data_format = 'DELIMITED'Azure_storage.authentication_method = 'Shared Key'Azure_storage.account_shared_key = '***'However, not able to set Account FQDN & Storage Container / File System Please guide us with these configurations.
Hi teami using streamset control hub 3.x ,if possible to read and write parquet file in data collector ?
After creating an environment through python sdk, when I am trying to create a deployment using the scripts I am getting the error described bellow: >>>deployment_builder = sch.get_deployment_builder(deployment_type='SELF')>>> # sample_environment is an instance of streamsets.sdk.sch_models.SelfManagedEnvironment>>> deployment = deployment_builder.build(deployment_name='Sample Deployment',... environment=sample_environment,... engine_type='DC',... engine_version='4.1.0',... deployment_tags=['self-managed-tag'])Traceback (most recent call last): File "<stdin>", line 2, in <module>NameError: name 'sample_environment' is not definedPlease help me regarding this.
if it possibile to convert data type by field mapper
We are using postgres CDC client to ingest the data from postges to ADLS. It’s working for other pipeline which are getting the CDC records lesser than 1 GB. While we drop and recreate the slots its working fine. But after sometime CDC files are generating from Streamsets. In pipeline logs we are not find error logs and jobs is active and running.while querying pg_replication_slots volume of data reaches more than 1 GB to several. until drop the replication slots CDC pipeline is not streaming.So, please suggest how to fix the issue. Do, we need to change the Streamsets configuration or postgres configuration. please let us know.Our Streamsets config. as below,Max Batch Size : 15000Streamsets engine : 4.4.1Batch Wait Time : 15000Query Timeout : {45 * MINUTES}Poll Interval: {1 * SECONDS}Status Interval : ${30 * SECONDS}CDC Generator Queue Size : 20000
I am trying to run the following command:“pip3 install streamsets~=5.0” in my VM to activate the sdk for python without using the activation key as shown in the documentation but unfortunately I am receiving the following error: WARNING: Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLError("bad handshake: Error([('SSL routines', 'tls_process_server_certificate', 'certificate verify failed')])"))': /simple/streamsets/WARNING: Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLError("bad handshake: Error([('SSL routines', 'tls_process_server_certificate', 'certificate verify failed')])"))': /simple/streamsets/WARNING: Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'SSLError(SSLError("bad handshake: Error([('SSL routines', 'tls_process_server_certificate', 'certificate verify failed')])"))': /
Hello Everyone I am facing following issue. Any inputs will be helpful. We are using Streamsets to load data into Snowflake. Our Snowflake instance is hosted in the region [EU-WEST-1] and S3 (for Stage) is in [EU-WEST-2] We configured Snowflake connector [Staging] in the StreamSets to use S3 region same as Snowflake. With this setting in place, we see following errors getting logged in S3 bucket (which is meant to capture the errors):"errorMessage": "SNOWFLAKE_59 - Could not get a Stage File Writer instance to write the records: 'The bucket is in this region: eu-west-2. Please use this region to retry the request", If we change S3 Region for the Snowflake connector in the Streamsets to [EU-WEST-2], we see following error in the Streamsets UI.SNOWFLAKE_19 - Could not access the S3 bucket associated with the stage: com.amazonaws.SdkClientException: Unable to execute HTTP request: s3.eu-west-2.aws.amazonaws.com: Name or service not known Streamset documentation says following: “To stage d
How to write a Grok pattern to match for a pattern, if fail go to next grok pattern.eg first pattern is specific and second one is generic one.
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