Collibra DQ User Guide

Connectivity to BigQuery

We've moved! To improve customer experience, the Collibra Data Quality User Guide has moved to the Collibra Documentation Center as part of the Collibra Data Quality 2022.11 release. To ensure a seamless transition, will remain accessible, but the DQ User Guide is now maintained exclusively in the Documentation Center.

Steps for the BigQuery Connection

  1. 1.
    Driver: com.simba.googlebigquery.jdbc42.Driver
  2. 2.
    Locate your service account owl-gcp.json (your org auth key in JSON format)
  3. 3.
    Create a JDBC connection (for example only do not use this JDBC URL): jdbc:bigquery://;ProjectId=;OAuthType=0;OAuthServiceAcctEmail=<1234567890>[email protected];OAuthPvtKeyPath=/opt/ext/bq-gcp.json;Timeout=86400
  4. 4.
    Requires a path to a JSON file that contains the service account for authorization. That same file is provided to the Spark session to make a direct to storage connection for maximum parallelism once Core fires up.”
    1. 1.
      Helpful tip: This JSON file can be uploaded to your bigquery directory using the "add driver"
The above and explained there are actually a number of others steps which must be performed to achieve success:
  1. 1.
    Password for the BigQuery Connector form in Collibra DQ must be a base64 encoded string created from the json file (see step 3. above) and input as password. For example: base64 your_json.json -w 0 or cat your_json.json | base64 -w 0
  2. 2.
    Check that this JAR exists and is on the path of the Collibra DQ Web UI server (eg. <INSTALL_PATH>/owl/drivers/bigquery/core). Look at your driver directory location which contains this BigQuery JAR: spark-bigquery_2.12-0.18.1.jar
  3. 3.
    Make sure these JARs present in <INSTALL_PATH>/owl/drivers/bigquery/: ****animal-sniffer-annotations-1.19.jar google-api-services-bigquery-v2-rev20201030-1.30.10.jar grpc-google-cloud-bigquerystorage-v1beta1-0.106.4.jar listenablefuture-9999.0-empty-to-avoid-conflict-with-guava.jar annotations- google-auth-library-credentials-0.22.0.jar grpc-google-cloud-bigquerystorage-v1beta2-0.106.4.jar opencensus-api-0.24.0.jar api-common-1.10.1.jar google-auth-library-oauth2-http-0.22.0.jar grpc-grpclb-1.33.1.jar opencensus-contrib-http-util-0.24.0.jar auto-value-annotations-1.7.4.jar GoogleBigQueryJDBC42.jar grpc-netty-shaded-1.33.1.jar perfmark-api-0.19.0.jar avro-1.10.0.jar google-cloud-bigquery-1.125.0.jar grpc-protobuf-1.33.1.jar protobuf-java-3.13.0.jar checker-compat-qual-2.5.5.jar google-cloud-bigquerystorage-1.6.4.jar grpc-protobuf-lite-1.33.1.jar protobuf-java-util-3.13.0.jar commons-codec-1.11.jar google-cloud-core-1.93.10.jar grpc-stub-1.33.1.jar proto-google-cloud-bigquerystorage-v1-1.6.4.jar commons-compress-1.20.jar google-cloud-core-http-1.93.10.jar gson-2.8.6.jar proto-google-cloud-bigquerystorage-v1alpha2-0.106.4.jar commons-lang3-3.5.jar google-http-client-1.38.0.jar guava-23.0.jar proto-google-cloud-bigquerystorage-v1beta1-0.106.4.jar commons-logging-1.2.jar google-http-client-apache-v2-1.38.0.jar httpclient-4.5.13.jar proto-google-cloud-bigquerystorage-v1beta2-0.106.4.jar conscrypt-openjdk-uber-2.5.1.jar google-http-client-appengine-1.38.0.jar httpcore-4.4.13.jar proto-google-common-protos-2.0.1.jar core google-http-client-jackson2-1.38.0.jar j2objc-annotations-1.3.jar proto-google-iam-v1-1.0.3.jar error_prone_annotations-2.4.0.jar google-oauth-client-1.31.1.jar jackson-annotations-2.11.0.jar grpc-alts-1.33.1.jar jackson-core-2.11.3.jar slf4j-api-1.7.30.jar failureaccess-1.0.1.jar grpc-api-1.33.1.jar jackson-databind-2.11.0.jar gax-1.60.0.jar grpc-auth-1.33.1.jar javax.annotation-api-1.3.2.jar threetenbp-1.5.0.jar gax-grpc-1.60.0.jar grpc-context-1.33.1.jar joda-time-2.10.1.jar gax-httpjson-0.77.0.jar grpc-core-1.33.1.jar json-20200518.jar google-api-client-1.31.1.jar grpc-google-cloud-bigquerystorage-v1-1.6.4.jar jsr305-3.0.2.jar
  4. 4.
    You may get a CLASSPATH conflict regarding the JAR files.
  5. 5.
    Make sure the BigQuery connector Scala version matches your Spark Scala version.


Please account for these urls from a networking and firewall perspective.


Make sure the project and account have appropriate permissions. These are common permissions to provide to the account.


Support for BigQuery views is available from the 2021.11 release onward. There are BigQuery limitations on creating views from different data sets (collections). Optionally, you can add the viewsEnabled=true parameter to the connection property when defining the connection.
For read/write access to BigQuery, you can use the Spark BigQuery connector. To use this connector, ensure that the following configurations are set:
  • viewsEnabled is set to true.
  • materializationDataset is set to a data set where the GCP user has table creation permission.
  • materializationProject is optional.

Spark Version 2

Be sure to use the Spark BigQuery connector that is compatible with your version of Spark.
Also when using Spark < 3 and Scala 2.11 please add the following props to the connection properties:,viewsEnabled=true