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

Begin from your workspace Super Graph view. Follow these steps to create your Write Component:

Using the 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

Using the 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 set up your BigQuery Write Component:

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

   Choose one of these strategies based on your use case:

   Strategy	Description	Best For
   partitioned	Updates only modified partitions	Time-series data, regional datasets, date-partitioned data
   full	Replaces entire target during each Flow Run	Reference tables, complete data refreshes
   snapshot	Flexible output - single file or chunked based on path	Data exports, analytical datasets, flexible output requirements

For complete details on output format options and when to use each approach, see the write output formats 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.