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Hi,Use case.We are load data from Teradata to Snowflake.as we not doing any transformation just extract the Data and loading in Snowflake.Right now, I am using.1.JDBC query consumer (origin) 2.Snowflake (Destination)Note. In our sources we don’t have any primary key or Unique key So, not able to define offset column because of that not able achieve partition the data.   

I was trying to add a MongoDB Atlas connection and on clicking the test connection button, I am getting an error “[unauthorized] not authorized on local to execute command”. I tested the connection string and credentials in Mongo Compass and there it was working fine. So, I could not understand why the test connection is failing. After many tries, I just thought of saving the connection as it is and try it in the pipeline. Magically when used in the pipeline I was able to fetch the data from MongoDB. Then again when I tried the test connection and was getting the same error.Can anyone help me understand this behavior. 

I am trying to load data from Teradata to Snowflake. I am using Transformer for spark as engine.Origin: JDBC query consumer. Destination:SnowflakeI am able to load 12 million data in 1 hour. but I want to improve the performance.Below is the configuration of my pipeline.   

Hello everyone,Welcome to the new StreamSets Community Platform. This Platform will encompass all of our users, customers, partners, and technical employees to assist with peer to peer questions, conversations, and knowledge base articles.  If you have platform feedback, suggestions, or ideas please leave a reply within this thread.  We are continuing to learn and grown. We hope to see you in the community platform. :)   

Hi Team,We are currently working on creating a pipeline which will consume Json data from Kafka and transform it into XML then will post the xml data using a particular REST API.Using Kafka stage we are able to consume the data successfully.Using Jython evaluator we are able to generate a desired XML from Json (can’t use ‘data generator’ as did not find a way add namespaces in the final XML).The output of Jython Evaluator is xml string. Now using HTTP client I have to post that XML to a particular API. In the HTTP Client I don’t see the option for xml in Data Format. How can I output data in XML format from Jython evaluator and how can I set the data format to XML.I have already tried the Content-Type = application/xml in headers but no luck. Regards,Dixit

Hi ,I have created Metadata Driven Data Ingestion Framework.Step 1:I am reading the Metadata from source and passing the runtime parameter(Database name and table name) to the job .Step 2:I am able to load one table at one time. Is there any way to create Mutiple job instance for each record? Please reach out to me If you any solution.email: hrishikeshe143143@gmail.com

  I use Streamsets Data Collector to Load data from Stage 2 database tables (JDBC Query Consumer) using a query and Write loaded data to another Stage 2 Database table (JDBC Producer). I use Init Query as below to delete the previous records before loading data. But this does not delete any record from the table. It would be great if someone can help me. 

HiI am trying to connect to Solace event broker using JMS Producer and  configured all JMS parameters (user name and password ) but still pipeline throwing below error:RETRY: JMS_00 - Could not create initial context 'com.solacesystems.jndi.SolJNDIInitialContextFactory' with provider URL 'tcps://mr-connection-irj89q7fz0j.messaging.solace.cloud:55443' : javax.naming.NamingException: Username must be specified I have already uploaded all solace lib files in external resources section of engine.Please suggest.

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Participate in the 2023 Wisdom of Crowds mid-year research process and receive a complimentary report of study findings and a gift from StreamSets as a thank you. Dresner Advisory Services is inviting all business and IT users to participate in its annual examination of the state of the BI, analytics, and information infrastructure marketplaces focusing on drivers, usage, and products.  The 2023 mid-year survey covers Analytical Data Infrastructure (ADI), as well as Embedded BI, Data Engineering, Workforce Planning and Analysis, and Supply Chain Planning and Analysis. Participants only need to fill in areas that are relevant to their current usage and experience. Users in all roles and throughout all industries are invited to contribute their insight via an online survey. The corresponding Dresner Advisory Services research will be published beginning in 4Q23 and throughout 1Q24. Qualified survey participants will receive complimentary copies of the findings.    Click here to start the

I want to validate the address column by using google address api  how to do that .this is my record : I want to validate the address .how to do any one can help this scenario.

Do you have ideas and want to help shape StreamSets products? Join the Product Advisory Council and innovate WITH us! To sweeten the deal, you can even get rewarded for being a member. 🎉To join and learn more about the council, visit https://streamsets.com/product-advisory-council/

Am trying to listen some of the port from tcp server origin but its not giving any results, the same port am when using in linux console which we deploy streamsets server am able to listen the message currently am using Version:StreamSets Data Collector 3.19.1  in log am getting TCP_00 - Cannot bind to port [0.0.0.0/0.0.0.0:******]: java.net.BindException: Address already in usehere am hiding port number for confidential with *Could you please help me how to listen messages from streamsets tcp server origin. Thanks in advance 

The next Build It with Brenna event is happening Wednesday, August 30th. And Brenna is inviting you to join her!   Don’t miss it and register now! 

Hi, I am new to Streamsets, started using it today.I have a task to create some backup data from sqlserver to hadoop and hive, the jdbc connection has been changed to sqlserver but it still doesn't work, please help me

I am trying to build CDC pipeline to migrate MySQL database to MySQL database in different server.Here’s the data collector pipeline I’ve created.  As per the documentation here, JDBC producers should be able to process binlog data. I’ve used Field remover to only use /Data and /Table fields.  When I run the pipeline I am getting error that input record has no data for <schema>.<table> . How can I create a pipeline to consume binlog records?

Can anyone let me know on how to use the HTTP Server Origin stage to fetch large volume of recordsMy problem statement is, I need to fetch large volume of data from a source using GET call. We can use HTTP Client stage for the same but since the source application doesn't have pagination configured , we will receive all the records at once . Thus i want to use HTTP server stage to achieve the same. Can anyone suggest how to achieve this. Appreciate your help!!Thanks in Advance!!

Use Case:-We have a dataset, in which we have columns as follows:-FIRST_NAME, LAST_NAME, EMAIL, PHONE, GENDER, DEPARTMENT, JOB_TITLE, YEARS_OF_EXPEREIENCE, SALARY.  Lets sort the column SALARY in ascending order and write to a new table with just 4 columns, FIRST_NAME, LAST_NAME, YEARS_OF_EXPEREIENCE, SALARY. Pipeline Design:-Snowflake Table (origin) Sort (Processor) Column Remover (Processor) Snowflake Table (Destination) Pipeline Working:-Snowflake Origin will fetch the table and columns and pass the records to Sort processor Sort processor will sort the data based on the configuration and pass it to Column Remover. (SALARY column, Ascending order) Column Remover will keep or remove the columns based on the configuration. Snowflake Table Destination will write the data to a new snowflake table.  

Hi,We need to connect AWS S3 Select using Groovy scripting. For that need to upload jar files. While uploading below Jar files, getting the subject line error. The size of these jars is less than 1MB.joda-time.jarhttpclient.jarhttpcore.jaraws-java-sdk-s3.jarCan you please help me resolving this?Error: java.util.concurrent.TimeoutException: Idle timeout expired: 30000/30000 ms 

To operate on an EMR cluster, I have developed a straightforward transformer pipeline. I used the required configuration information during cluster configuration.I have the following problem: 

In Transformer, i sent data from file(directory) to file(local fs)but the destination will got errorJOBRUNNER_63 - Pipeline status: 'RUN_ERROR', message: 'Operator File_3 failed due to org.apache.spark.sql.AnalysisException, check Driver Logs for further information'RUN_ERROR: Operator File_3 failed due to org.apache.spark.sql.AnalysisException, check Driver Logs for further information (View Stack Trace... ) how to clear the error and I need  help to clear the errorThanks Tamilarasu 

Hinow i am working in streamsets data-ops transformer platform. i try to connect databricks cluster in streamsets. But i facing some issues.  JOBRUNNER_63 - Pipeline status: 'START_ERROR', message: 'Failed to start pipeline, check logs for error. The Transformer Spark application in the Spark cluster might not be able to reach Transformer at ‘http://661f1312d1e9:19630’. If this is not the correct URL, update the transformer.base.http.url property in the Transformer configuration file or define a cluster callback URL for the pipeline and restart Transformer.'START_ERROR: Failed to start pipeline, check logs for error. The Transformer Spark application in the Spark cluster might not be able to reach Transformer at ‘http://661f1312d1e9:19630’. If this is not the correct URL, update the transformer.base.http.url property in the Transformer configuration file or define a cluster callback URL for the pipeline and restart Transformer. how to clear this error? and how to connect the cluster to

Is possible to perform cdc in mongodb atlas using mongodb oplog? The mongodb oplog connection string will be satisfied for MongoDB atlas but i got time out errorplease give some guidance to clear that error.

 Input data:[  {    "product_id": 1,    "unit_price": 23.2  },  {    "product_id": 4,    "unit_price": 21.64  },  {    "product_id": 2,    "unit_price": 10.87  }]Delta lake lookup table. This is same for all operations performedReturn all matching rows, generating a record for each match:  Return first matching row:There won’t be change in the output from above since there are no duplicates in input. Return a count of matching rows:Return true if matches exist, otherwise false:Input data:[  {    "product_id": 1,    "unit_price": 23.2  },  {    "product_id": 2,    "unit_price": 21.64  },  {    "product_id": 4,    "unit_price": 10.87  },    {    "product_id": 5,    "unit_price": 99.32  },    {    "product_id": 4,    "unit_price": 20.33  }]Return all matching rows, generating a record for each match:Return first matching row:Return true if matches exist, otherwise false: Return a count of matching rows: