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Hadoop Properties for Spark in Cloud (s3a, buckets)
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hadoop-spark-properties.md

Hadoop Properties for Spark in Cloud

The following is a list of Hadoop properties for Spark to use HDFS more effective.

spark.hadoop.-prefixed Spark properties are used to configure a Hadoop Configuration that Spark broadcast to tasks. Use spark.sparkContext.hadoopConfiguration to review the properties.

  • spark.hadoop.mapreduce.fileoutputcommitter.algorithm.version = 2

Google Cloud Storage

Read Google Cloud Storage Connector for Spark and Hadoop

Amazon S3

Read Hadoop-AWS module

  • fs.s3a.impl = org.apache.hadoop.fs.s3a.S3AFileSystem
  • fs.s3a.multiobjectdelete.enable = false
  • fs.s3a.fast.upload = true
  • fs.s3a.endpoint
  • fs.s3a.access.key
  • fs.s3a.secret.key
  • fs.s3a.path.style.access = true
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