Batch Table Schema¶
From a schema standpoint there are 2 types of batches generally speaking: static and dynamic.
Static batch types have 2 “dedicated” tables within the default
schema of
the DB: one table for the batch “headers” and another for its “data”. For
instance the basic inventory batch uses these tables:
batch_inventory
batch_inventory_row
When a new inventory batch is created, 1 new batch_inventory
record is
created but multiple new batch_inventory_row
records may be created. The
latter table contains all rows for all inventory batches.
Dynamic batch types however are just that, and do not have a dedicated “data”
table, although they still do have a dedicated “header” table. For instance
this approach is used for “importer batches” - when running an importer creates
a batch, it will create 1 new batch_importer
record but then will create a
brand new table with custom schema based on the importer, to hold the data.
To avoid cluttering the default
schema within the DB, dynamic batch data
tables are not stored there. Instead they are kept within the batch
schema, which must be manually created if you need it.