Set up your Apache Spark cluster

Download a Spark distribution from Spark download page.

Preliminary

  1. Set up a password-less SSH on your cluster. Each master-worker pair should have bidirectional password-less SSH.
  2. Make sure you have installed JRE 1.8 or later.
  3. Add the list of your workers' IP address in ./conf/slaves
  4. Besides the necessary Spark settings, you may need to add the following lines in the Spark configuration files to avoid Sedona memory errors:

In ./conf/spark-defaults.conf

spark.driver.memory 10g
spark.network.timeout 1000s
spark.driver.maxResultSize 5g
  • spark.driver.memory tells Spark to allocate enough memory for the driver program because Sedona needs to build global grid files (global index) on the driver program. If you have a large amount of data (normally, over 100 GB), set this parameter to 2~5 GB will be good. Otherwise, you may observe “out of memory” error.
  • spark.network.timeout is the default timeout for all network interactions. Sometimes, spatial join query takes longer time to shuffle data. This will ensure Spark has enough patience to wait for the result.
  • spark.driver.maxResultSize is the limit of total size of serialized results of all partitions for each Spark action. Sometimes, the result size of spatial queries is large. The “Collect” operation may throw errors.

For more details of Spark parameters, please visit Spark Website.

Start your cluster

Go the root folder of the uncompressed Apache Spark folder. Start your Spark cluster via a terminal

./sbin/start-all.sh