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+---
+id: 2b59e8e6c1
+question: How do I use Spark with BigQuery as a data source and sink?
+sort_order: 62
+---
+
+Add the connector package: `com.google.cloud.spark:spark-bigquery-with-dependencies_2.12` 
+
+Read from BigQuery:
+
+```python
+df = spark.read.format("bigquery") \
+.option("table", "project.dataset.table") \
+.load()
+```
+
+Write to BigQuery:
+
+```python
+df.write.format("bigquery") \
+.option("table", "project.dataset.output_table") \
+.mode("overwrite") \
+.save()
+```
+
+Make sure:
+- your GCP credentials are configured
+- dataset location matches your query location
+- the output dataset exists
+
+This enables distributed processing on top of warehouse data.
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