google-big-queryHow can I use Knime to connect to Google BigQuery?
Knime can be used to connect to Google BigQuery using the Google BigQuery Connector node. This connector node can be found in the Big Data Connectors section of the node repository.
The Google BigQuery Connector node can be used to read from and write to BigQuery tables. To use the node, a Google Cloud Platform project must be created and configured with the proper credentials.
Example code
# create a Google BigQuery Connector node
node = KNIME.createNode('org.knime.bigdata.connector.gcp.bigquery.BigQueryConnectorNodeFactory');
# set the Google Cloud Platform project ID
node.setProjectId('[PROJECT_ID]');
# set the BigQuery table name
node.setTableName('[TABLE_NAME]');The Google BigQuery Connector node also allows for the configuration of other BigQuery parameters, such as the query, the query type, the query parameters, the query result type, the query result limit, and the query result timeout.
The output of the node is a table that contains the query result.
Helpful links
More of Google Big Query
- How do I use a JSON service account with Google Big Query?
- How do I set up permissions for Google BigQuery?
- How can I use Google Big Query to analyze Reddit data?
- How do I use wildcards in Google BigQuery?
- How do I find the Google BigQuery project ID?
- How do I sign in to Google Big Query?
- How can I use Google BigQuery to create a pivot table?
- How do I use Google Big Query with npm?
- How can I compare Google BigQuery and AWS Redshift for software development?
- How do I use Google Big Query to merge data?
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