https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/Recent content in Vertica onHugo -- gohugo.ioSun, 11 Dec 2022 19:37:55 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/vertica-connection/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/vertica-connection/For creating a Vertica connection, select Vertica from the Component Type drop-down list and provide connections details as explained below. Connection Configuration # Configure the fields required to create the connection as explained below. Connection Name # Name of the connection to be created. Scope # Define the connection scope to customize their accessibility. Organization: Accessible to organization users across all Gathr projects for usage in applications. Project: Accessible to organization users limited to projects that are specified by the connection owner for usage in applications.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/vertica-etl-data-source/Sun, 11 Dec 2022 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/vertica-etl-data-source/VERTICA Channel supports Oracle, Postgres, MYSQL, MSSQL, DB2 connections. You can configure and connect above mentioned DB-engines with JDBC. It allows you to extract the data from DB2 and other sources into your data pipeline in batches after configuring JDBC channel. Prerequisite # Upload an appropriate driver jar as per the RDBMS used in JDBC Data Source. Use the upload jar option. For using DB2, create a DB2 Connection. Schema Type # See the topic Provide Schema for ETL Source → to know how schema details can be provided for data sources.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/vertica-incremental-configuration/Mon, 12 Dec 2022 19:50:16 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/vertica-incremental-configuration/Enable Incremental Read # Option to read the objects updated in the source since the last execution of the application for the given configuration. Provide the details for enabling incremental read as described below: Read By # Choose the incremental read condition to be applied and data to be read as per File Modification Time or Column Partition. If File Modification Time is chosen, provide the offset value. Offset # Specifies the last modified time of a file.https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/vertica-etl-target/Sun, 11 Dec 2022 21:01:49 +0530https://docs.gathr.ai/gathr-unlimited/7.6.0/docs/components/vertica/vertica-etl-target/Vertica emitter supports Oracle, Postgres, MYSQL, MSSQL, DB2 connections. You can configure and connect above mentioned DB-engines with JDBC. It allows you to emit data into DB2 and other sources into your data pipeline in batches after configuring JDBC channel. 👉 This is a batch component. For using DB2, create a successful DB2 Connection. Vertica Emitter Configuration # To add a Vertica emitter to your pipeline, drag it onto the canvas and connect it to a Data Source or processor.