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README.md

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#### insert_by_period ([source](macros/materializations/insert_by_period_materialization.sql))
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`insert_by_period` allows dbt to insert records into a table one period (i.e. day, week) at a time.
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This materialization is particularly useful for building large tables, especially where the initial run can be problematic.
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This materialization is appropriate for event data that can be processed in discrete periods. It is similar in concept to the built-in incremental materialization, but has the added benefit of building the model in chunks even during a full-refresh so is particularly useful for models where the initial run can be problematic.
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Should a run of a model using this materialization be interrupted, a subsequent run will continue building the target table from where it was interrupted (granted the `--full-refresh` flag is omitted).
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