Vertica Analytics Platform Version 9.2.x Documentation

Load Parallelism

Vertica can divide the work of loading data, taking advantage of parallelism to speed up the operation. Vertica supports several types of parallelism:

  • Distributed load: Vertica distributes files in a multi-file load to several nodes to load in parallel, instead of loading all of them on a single node. Vertica manages distributed load; you do not need to do anything special in your UDL.
  • Cooperative parse: A source being loaded on a single node uses multi-threading to parallelize the parse. Cooperative parse divides a load at execution time, based on how threads are scheduled. You must enable cooperative parse in your parser. See Cooperative Parse.
  • Apportioned load: Vertica divides a single large file or other single source into segments, which it assigns to several nodes to load in parallel. Apportioned load divides the load at planning time, based on available nodes and cores on each node. You must enable apportioned load in your source and parser. See Apportioned Load.

You can support both cooperative parse and apportioned load in the same UDL. Vertica decides which to use for each load operation and might use both. See Combining Cooperative Parse and Apportioned Load.