In this tutorial, the table name is data_source_table. Set the default value of the high watermark with the table name of source data store. Run the following SQL command against your SQL database to create a table named watermarktable to store the watermark value: create table watermarktable The data in the data source store is shown in the following table: PersonID | Name | LastModifytimeĬreate another table in your SQL database to store the high watermark value In this tutorial, you use LastModifytime as the watermark column. Run the following SQL command against your SQL database to create a table named data_source_table as the data source store: create table data_source_table In Server Explorer, right-click the database, and choose New Query. Create a container named adftutorial.Ĭreate a data source table in your SQL database If you don't have a storage account, see Create a storage account for steps to create one. You use the blob storage as the sink data store. If you don't have a database in Azure SQL Database, see Create a database in Azure SQL Database for steps to create one. You use the database as the source data store.
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If you don't have an Azure subscription, create a free account before you begin. Create a StoredProcedure activity that updates the watermark value for the pipeline that runs next time.Then, it copies the delta data from the source data store to Blob storage as a new file. Create a Copy activity that copies rows from the source data store with the value of the watermark column greater than the old watermark value and less than the new watermark value.These watermark values are passed to the Copy activity. Use the second Lookup activity to retrieve the new watermark value. Use the first Lookup activity to retrieve the last watermark value. The pipeline in this solution has the following activities: In this tutorial, you store the watermark value in a SQL database.Ĭreate a pipeline with the following workflow: Prepare a data store to store the watermark value.
The maximum value in this column is used as a watermark. Normally, the data in this selected column (for example, last_modify_time or ID) keeps increasing when rows are created or updated. Select one column in the source data store, which can be used to slice the new or updated records for every run. Here are the important steps to create this solution:
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