Zingg
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      • Field Definitions
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    • Working With Training Data
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    • Persistent ZINGG ID
  • Data Sources and Sinks
    • Zingg Pipes
    • Databricks
    • Snowflake
    • JDBC
      • Postgres
      • MySQL
    • AWS S3
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    • MongoDB
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    • BigQuery
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  • Working With Python
    • Python API
  • Running Zingg On Cloud
    • Running On AWS
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    • Running On Databricks
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  • Zingg Models
    • Pre-Trained Models
  • Improving Accuracy
    • Ignoring Commonly Occuring Words While Matching
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  • Documenting The Model
  • Interpreting Output Scores
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  1. Data Sources and Sinks

JDBC

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Last updated 5 months ago

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Zingg can connect to various databases such as MySQL, DB2, MariaDB, MS SQL, Oracle, PostgreSQL, etc. using JDBC. One just needs to download the appropriate driver and made it accessible to the application.

To include the JDBC driver for your particular database on the Spark classpath, please add the property spark.jars in 

spark.jars=<location of jdbc driver jar>

Connection details are given in the following sections for a few common JDBC sources.

Zingg's runtime properties.