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Sometimes, there is no unique id in the data source. In this case, we can generate an id by combining and hashing the data in columns of that row.
In some scenarios, even if we combine the data in the columns, there may be duplicate rows in the data source. For those situations, we can add a condition to check duplicate ids for each batch (if not in the same batch, the resource with the same id is updated because we are using PUT) and eliminate the duplicate ones.
And we can log the duplicate rows for better identification.
The text was updated successfully, but these errors were encountered:
Sometimes, there is no unique id in the data source. In this case, we can generate an id by combining and hashing the data in columns of that row.
In some scenarios, even if we combine the data in the columns, there may be duplicate rows in the data source. For those situations, we can add a condition to check duplicate ids for each batch (if not in the same batch, the resource with the same id is updated because we are using PUT) and eliminate the duplicate ones.
And we can log the duplicate rows for better identification.
The text was updated successfully, but these errors were encountered: