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Aqua data studio tutorial
Aqua data studio tutorial






aqua data studio tutorial
  1. Aqua data studio tutorial how to#
  2. Aqua data studio tutorial update#
  3. Aqua data studio tutorial series#

Update the checkpoint_log table with the to_snapshot_id for the source data that DIM_TABLE_ABC processed successfully.This allows the processed data from the source table between from_snapshot_id and to_snapshot_id, to be incrementally appended to the destination table. The destination table persists the processed data from the source dataset ( DIM_TABLE_ABC). Use the CREATE keyword to create DIM_TABLE_ABC_Incremenal as the destination table.In the example, this is queried from the metadata table of the source table. Set the to_snapshot_id as the current snapshot ID of the source table ( DIM_TABLE_ABC).On the initial run, the snapshot ID will be null meaning that the entire dataset will be processed. The from_snapshot_id in the example is queried from the checkpoint_log table for use with DIM_TABLE_ABC. Set the from_snapshot_id which indicates where the processing starts from.The anonymous block in the required execution section of the SQL example below, as described in steps one to four, is executed sequentially to process data incrementally. INSERT INTOģ Next, initialize DIM_TABLE_ABC_Incremental to contain processed output from DIM_TABLE_ABC. This allows you to process the entire dataset on the first occasion and incrementally thereafter. On the first occasion of processing DIM_TABLE_ABC, the last_snapshot_id is initialized as null. DIM_TABLE_ABC is the dataset to be processed in the example below. DROP TABLE IF EXISTS checkpoint_log Ĭast(NULL AS TIMESTAMP) process_timestampĢ Populate the checkpoint_log table with one empty record for the dataset that needs incremental processing. The tracking table ( checkpoint_log in this example) must first be initialized to null in order to incrementally process a dataset. The design pattern can be used as a template for your own sequence of queries.ġ Create a checkpoint_log table to track the most recent snapshot used to process data successfully.

aqua data studio tutorial

Aqua data studio tutorial how to#

The steps below demonstrate how to create and incrementally load data using snapshots and the anonymous block feature. It is recommended that you read the sample anonymous block queries documentation and also the snapshot clause documentation.įor guidance on any terminology used within this guide, refer to the SQL syntax guide. The SQL examples throughout this document require you to have an understanding of the anonymous block and snapshot capabilities. These steps can be used as a template to create your own incremental data load queries.

Aqua data studio tutorial series#

This document provides a series of instructions to build a design pattern for incremental processing. It can be used with both streaming and batch data processing. This design pattern increases processing efficiency as any data already processed from the source is skipped. Incremental load uses various features provided by Adobe Experience Platform Query Service such as anonymous block and snapshots. The pattern only processes information in the dataset that has been created or modified since the last load execution. The incremental load design pattern is a solution for managing data.








Aqua data studio tutorial