Validate Parquet Data with QuerySurge

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Parquet JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Parquet.



Access and validate Parquet data in QuerySurge using the CData JDBC Driver.

QuerySurge is a smart data testing solution that automates data validation and testing. When paired with the CData JDBC Driver for Parquet, QuerySurge can work with live Parquet data. This article walks through connecting to Parquet data from QuerySurge.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Parquet data. When you issue complex SQL queries to Parquet, the driver pushes supported SQL operations, like filters and aggregations, directly to Parquet and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Parquet data using native data types.

Connecting to Parquet Data in QuerySurge

To connect to live Parquet data from QuerySurge, you need to deploy the JDBC Driver JAR file to your QuerySurge Agent(s) and add a new connection from the QuerySurge Admin view.

Deploy the JDBC Driver

  1. Download the CData JDBC Driver for Parquet installer, unzip the package, and run the JAR file to install the driver.
  2. Once the driver is installed, stop the Agent Service.
  3. Copy the JAR File (and license file if it exists) from the installation location (typically C:\Program Files\CData\CData JDBC Driver for Parquet\lib\) to your Agent(s) (QuerySurge_install_dir\agent\jdbc).
  4. Restart the Agent Service.

For more information on deploying JDBC drivers for QuerySurge, refer to the QuerySurge Knowledge Base.

Configure a New Connection to Parquet

  1. Log into QuerySurge and navigate to the Admin view.
  2. Click Configuration -> Connections in the Administration Tree.
  3. Click Add to create a new connection.
  4. In the QuerySurge Connection Wizard, click Next.
  5. Name the connection (e.g. CData JDBC Connection to Parquet).
  6. Set the Data Source to "All Other JDBC Connections (Connection Extensibility)" and click Next.
  7. Set the Driver Class to cdata.jdbc.parquet.ParquetDriver and click Next.
  8. Set the Connection URL using the necessary connection properties to authenticate with Parquet. Your Connection URL will look something like the following:

    jdbc:parquet:URI=C:/folder/table.parquet;

    Built-in Connection String Designer

    For assistance in constructing the JDBC URL, use the connection string designer built into the Parquet JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

    java -jar cdata.jdbc.parquet.jar

    Fill in the connection properties and copy the connection string to the clipboard.

    Connect to your local Parquet file(s) by setting the URI connection property to the location of the Parquet file.

  9. Set the Test Query to enable the Test Connection button for the Connection (e.g. SELECT * FROM SampleTable_1 LIMIT 1) and click Next.
  10. Click Test Connection to ensure the connection is configured properly and click Save to add the connection.

Once the connection is added, you can write SQL queries against your Parquet data in QuerySurge.

Compare Parquet Data Queries with a QueryPair

With the connection configured, you can follow the steps below to compare querying Parquet data with a QueryPair.

  1. Select "Design Library" from the Design Menu
  2. Click QueryPairs under QuerySurge Design
  3. Click "Create New QueryPair"
  4. Name the QueryPair and click Save
  5. In either the Source or Target panes, select the connection created above (select the same connection to query Parquet twice or another connection to perform a comparison)
  6. Write queries in the Editor for each pane, e.g. SELECT * FROM SampleTable_1
  7. Click the "Design-Time Run" tab to execute the queries
  8. When the query execution is finished, click "View Query Results" to see the Parquet data returned by the query

Download a free, 30-day trial of the CData JDBC Driver for Parquet and start working with your live Parquet data in QuerySurge. Reach out to our Support Team if you have any questions.