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isCached

Returns true if the table is currently cached in-memory.

Syntax

isCached(tableName: str)

Parameters

Parameter Type Description
tableName str Name of the table to get. Can be qualified with catalog name.

Returns

bool

Examples

_ = spark.sql("DROP TABLE IF EXISTS tbl1")
_ = spark.sql("CREATE TABLE tbl1 (name STRING, age INT) USING parquet")
spark.catalog.cacheTable("tbl1")
spark.catalog.isCached("tbl1")
# True

# Throw an analysis exception when the table does not exist.
spark.catalog.isCached("not_existing_table")
# Traceback (most recent call last):
#     ...
# AnalysisException: ...

# Using the fully qualified name for the table.
spark.catalog.isCached("spark_catalog.default.tbl1")
# True
spark.catalog.uncacheTable("tbl1")
_ = spark.sql("DROP TABLE tbl1")
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