Write to BigQuery

This guide shows you how to create a BigQuery Write Component.

Prerequisites

• BigQuery Connection with write permissions
• An Ascend Flow with a Component that contains data

Create a new Write Component

From your Workspace Super Graph view, follow these steps to create your Write Component:

Form

1. Double-click the Flow where you want to create your Component
2. Right-click on any Component
3. Hover over Create Downstream -> Write, and select your target Connection
4. Complete the form with these details:
   • Select your Flow
   • Enter a descriptive Component Name like write_mysql

Files panel

1. Open the Files panel in the top left corner
2. Navigate to and select your desired Flow
3. Right-click on the components directory and choose New file
4. Name your file with a descriptive name like write_mysql.yaml and press enter

Configure your BigQuery Write Component

Follow these steps to configure your BigQuery Write Component:

1. Set up your Connection
   • Enter your BigQuery Connection name in the connection field
2. Define your data source
   • Set input to the Component that contains your source data
3. Configure the write destination
   • Set up the bigquery write connector options
   • Specify your target table name, schema, and other required properties
4. Choose a write strategy

   Select the strategy that best fits your use case:

   Strategy	Description	Best for
   full (default)	Replaces the entire target table during each Flow Run	Reference tables, complete data refreshes
   partitioned	Updates only the partitions that have changed	Time-series data, regional datasets, date-partitioned tables
   snapshot	Creates flexible output as a single file or multiple chunks	Data exports, analytical datasets, flexible output formats

For detailed guidance on when to use each strategy, see the write strategies guide.

Examples

Choose the write strategy that best fits your use case:

Full write strategy

This example shows a BigQuery Write Component that uses a full write strategy with drop_and_recreate mode. This strategy replaces all data in the target table during each Flow run, ensuring a complete refresh.

write_bigquery_full.yaml

component:
  write:
    connection: write_bigquery
    input:
      name: my_component
      flow: my_flow
    bigquery:
      table:
        name: my_table
        dataset: my_output_dataset
    strategy:
      full:
        mode: drop_and_recreate

Partitioned write strategy

This example shows a BigQuery Write Component that uses a partitioned write strategy with sync mode. This strategy only updates modified partitions while preserving existing partitions, which is more efficient for large datasets.

write_bigquery_partitioned.yaml

component:
  write:
    connection: write_bigquery
    input:
      name: my_component
      flow: my_flow
    strategy:
      partitioned:
        mode: sync
    bigquery:
      table:
        name: my_partitioned_table
        dataset: my_output_dataset

🎉 Congratulations! You successfully created a BigQuery Write Component in Ascend.