How can the BQ load be performed on a csv file that is saved in storage using a Java client?

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To perform BQ load on a CSV file saved in storage using Java client, you can follow these steps:

1. Set up the Google Cloud Storage Java client library in your project.

2. Create a Storage object that points to the bucket containing the CSV file. Storage storage = StorageOptions.getDefaultInstance().getService(); Bucket bucket = storage.get("my-bucket");

3. Create a Blob object that represents the CSV file. Blob blob = bucket.get("path/to/myfile.csv");

4. Create a TableId object that represents the destination table in BigQuery. TableId tableId = TableId.of("my-project", "mydataset", "mytable");

5. Create a LoadJobConfiguration object that specifies the details of the load job, such as source format, destination table, schema, and other parameters. LoadJobConfiguration configuration = LoadJobConfiguration.builder(tableId, blob) .setFormatOptions(FormatOptions.csv()) .setSchema(mySchema) .setWriteDisposition(JobInfo.WriteDisposition.WRITE_TRUNCATE) .build();

6. Submit the job to BigQuery using the BigQuery client library. BigQuery bigquery = BigQueryOptions.getDefaultInstance().getService(); Job loadJob = bigquery.create(JobInfo.of(configuration));

7. Wait for the job to complete and check the result. loadJob = loadJob.waitFor(); if (loadJob.getStatus().getError() != null) { throw new RuntimeException("Failed to load CSV file to BigQuery: " + loadJob.getStatus().getError()); }

That's it! Once the job completes successfully, the CSV file data will be loaded into the specified BigQuery table.