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 can I use Google BigQuery on a Windows system?
- How do Google BigQuery and MySQL compare in terms of performance and scalability?
- How do I use a Google BigQuery URL?
- How can I use Google Big Query to count the number of zeros in a given dataset?
- How do I use wildcards in Google BigQuery?
- How can I use Google Big Query to integrate with Zephyr?
- How do I use Google Big Query to zip files?
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
- How do I query Google BigQuery using XML?
- How can I use Google Big Query to process XML data?
See more codes...