The load-reduce-check tool provides a single command to perform the final steps to convert data loaded through the Hadoop applier into a final, Hive-compatible table providing a carbon copy of the data within Hive as extracted from the source database.
See Section 4.6, “Deploying the Hadoop Applier” for more details on configuring the Hadoop Applier.
The four steps, each of which can be enabled or disabled individually are:
Accesses the source database, reads the schema definition, and generates
the necessary DDL for the staging tables within Hive. Tables are by
default prefixed with
and created in a Hive schema matching the source schema.
Accesses the source database, reads the schema definition, and generates the necessary DDL for the tables within Hive. Tables are created with an identical table and schema name to the source schema.
Execute a view materialization, where the data in any existing table, and the staging table are merged into the final table data. This step is identical to the process executed when running the materialize tool.
Compares the data within the source and materialized tables and reports any differences.
The load-reduce-check tool