pyspark.sql.DataFrameReader.table¶
-
DataFrameReader.
table
(tableName: str) → DataFrame¶ Returns the specified table as a
DataFrame
.- Parameters
- tableNamestr
string, name of the table.
Examples
>>> df = spark.read.parquet('python/test_support/sql/parquet_partitioned') >>> df.createOrReplaceTempView('tmpTable') >>> spark.read.table('tmpTable').dtypes [('name', 'string'), ('year', 'int'), ('month', 'int'), ('day', 'int')]