title: Read from BigQuery into Spark in efficient way?
body: <p>When using <a href="https://cloud.google.com/hadoop/examples/bigquery-connector-spark-example" rel="noreferrer">BigQuery Connector</a> to read data from BigQuery I found that it copies all data first to Google Cloud Storage. Then reads this data in parallel into Spark, but when reading big table it takes very long time in copying data stage. So is there more efficient way to read data from BigQuery into Spark?</p>
  
  <p>Another Question: reading from BigQuery composed of 2 stages (copying to GCS, reading in parallel from GCS). does copying stage affected by Spark cluster size or it take fixed time?</p>