To read data from BigQuery into a Spark DataFrame, you can use the `spark-bigquery` connector. This connector allows you to read data from BigQuery tables directly into Spark DataFrames.
Make sure you replace `"project_id.dataset_id.table_name"` with the appropriate BigQuery table path, and provide the correct path to your GCP service account JSON key file.
Additionally, you can specify more options like `filter`, `partitionField`, `parallelism`, etc., according to your needs. You can find more information about the options in the official documentation of the `spark-bigquery` connector.
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