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#todo improve to summarize semantics relative to def~commits lifecycle, before and after

Design details


In this def~table-type, records written to the def~table, are quickly first written to def~log-files, which are at a later time merged with the def~base-file, using a def~compaction action on the timeline. Various def~query-types can be supported depending on whether the query reads the merged snapshot or the change stream in the logs or the un-merged base-file alone.

At a high level, 135860486 writer goes through same stages as def~copy-on-write (COW) writer in ingesting data. The updates are appended to latest log (delta) file belonging to the latest file slice without merging. For inserts, Hudi supports 2 modes:

  1. Inserts to Log Files - This is done for def~tables that have an indexable log files (for eg def~hbase-index)
  2. Inserts to parquet files - This is done for def~tables that do not have indexable log files, for eg def~bloom-index

As in the case of def~copy-on-write (COW), the input tagged records are partitioned such that all upserts destined to a def~file-id are grouped together. This upsert-batch is written as one or more log-blocks written to def~log-files. Hudi allows clients to control log file sizes. The WriteClient API is same for both def~copy-on-write (COW) and 135860486 writers. With 135860486, several rounds of data-writes would have resulted in accumulation of one or more log-files. All these log-files along with base-parquet (if exists) constitute a  def~file-slice which represents one complete version of the file.

This table type is the most versatile, highly advanced and offers much flexibility for writing (ability specify different compaction policies, absorb bursty write traffic etc) and querying (e.g: tradeoff data freshness and query performance). At the same time, it can involve a learning curve for mastering it operationally. 

Kind of

Related concepts

  1. def~copy-on-write (COW)