​Load​From​Gcs

id: gcp_bq_load_from_gcs
namespace: company.team

tasks:
  - id: http_download
    type: io.kestra.plugin.core.http.Download
    uri: https://huggingface.co/datasets/kestra/datasets/raw/main/csv/orders.csv

  - id: csv_to_ion
    type: io.kestra.plugin.serdes.csv.CsvToIon
    from: "{{ outputs.http_download.uri }}"
    header: true

  - id: ion_to_avro
    type: io.kestra.plugin.serdes.avro.IonToAvro
    from: "{{ outputs.csv_to_ion.uri }}"
    schema: |
      {
        "type": "record",
        "name": "Order",
        "namespace": "com.example.order",
        "fields": [
          {"name": "order_id", "type": "int"},
          {"name": "customer_name", "type": "string"},
          {"name": "customer_email", "type": "string"},
          {"name": "product_id", "type": "int"},
          {"name": "price", "type": "double"},
          {"name": "quantity", "type": "int"},
          {"name": "total", "type": "double"}
        ]
      }

  - id: load_from_gcs
    type: io.kestra.plugin.gcp.bigquery.LoadFromGcs
    from:
      - "{{ outputs.ion_to_avro.uri }}"
    destinationTable: "my_project.my_dataset.my_table"
    format: AVRO
    avroOptions:
      useAvroLogicalTypes: true

id: gcp_bq_load_files_test
namespace: company.team

tasks:
  - id: load_files_test
    type: io.kestra.plugin.gcp.bigquery.LoadFromGcs
    destinationTable: "myDataset.myTable"
    ignoreUnknownValues: true
    schema:
      fields:
        - name: colA
          type: STRING
        - name: colB
          type: NUMERIC
        - name: colC
          type: STRING
    format: CSV
    csvOptions:
      allowJaggedRows: true
      encoding: UTF-8
      fieldDelimiter: ","
    from:
      - gs://myBucket/myFile.csv