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REFRESH CACHE

  • Άρθρο

Applies to: check marked yes Databricks Runtime

Invalidates and refreshes all the cached data (and the associated metadata) in Apache Spark cache for all Datasets that contains the given data source path. Path matching is by prefix, that is, / would invalidate everything that is cached.

See REFRESH (MATERIALIZED VIEW or STREAMING TABLE) for refreshing the data in streaming tables and materialized views.

Syntax

REFRESH resource_path

See Disk cache vs. Spark cache for the differences between disk caching and the Apache Spark cache.

Parameters

  • resource_path

    The path of the resource that is to be refreshed.

Examples

-- The Path is resolved using the datasource's File Index.
> CREATE TABLE test(ID INT) using parquet;
> INSERT INTO test SELECT 1000;
> CACHE TABLE test;
> INSERT INTO test SELECT 100;
> REFRESH "hdfs://path/to/table";