Pyspark 1.6 documentation
Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that ...,PySpark is the Python API for Spark. Public classes: ... Configuration for a Spark application. Used to set various Spark parameters as key-value pairs. Most of ... ,createDataFrame(data, schema=None, samplingRatio=None)¶. Creates a DataFrame from an RDD of tuple/list, list or pandas.DataFrame.,Module Context¶. Important classes of Spark SQL and DataFrames: pyspark.sql.SQLContext Main entry point for DataFrame and SQL ... ,Module Context¶. Important classes of Spark SQL and DataFrames: pyspark.sql.SQLContext Main entry point for DataFrame and SQL ... ,sql.Row A row of data in a DataFrame. pyspark.sql.HiveContext Main entry point for accessing data stored in Apache Hive ... ,pyspark.SparkContext. Main entry point for Spark functionality. pyspark.RDD. A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. ,pyspark.SparkContext. Main entry point for Spark functionality. pyspark.RDD. A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. ,pyspark.SparkContext. Main entry point for Spark functionality. pyspark.RDD. A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. ,pyspark.SparkContext. Main entry point for Spark functionality. pyspark.RDD. A Resilient Distributed Dataset (RDD), the basic abstraction in Spark.
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 Pyspark 1.6 documentation 相關參考資料
Overview - Spark 1.6.0 Documentation
Apache Spark is a fast and general-purpose cluster computing system. It provides high-level APIs in Java, Scala, Python and R, and an optimized engine that ... https://spark.apache.org PySpark 1.6.0 documentation - Apache Spark
PySpark is the Python API for Spark. Public classes: ... Configuration for a Spark application. Used to set various Spark parameters as key-value pairs. Most of ... https://spark.apache.org pyspark.sql module — PySpark 1.6.0 documentation - Apache ...
createDataFrame(data, schema=None, samplingRatio=None)¶. Creates a DataFrame from an RDD of tuple/list, list or pandas.DataFrame. https://spark.apache.org pyspark.sql module — PySpark 1.6.1 documentation - Apache ...
Module Context¶. Important classes of Spark SQL and DataFrames: pyspark.sql.SQLContext Main entry point for DataFrame and SQL ... https://spark.apache.org pyspark.sql module — PySpark 1.6.2 documentation - Apache ...
Module Context¶. Important classes of Spark SQL and DataFrames: pyspark.sql.SQLContext Main entry point for DataFrame and SQL ... https://spark.apache.org pyspark.sql module — PySpark 1.6.3 documentation - Apache ...
sql.Row A row of data in a DataFrame. pyspark.sql.HiveContext Main entry point for accessing data stored in Apache Hive ... https://spark.apache.org Spark Python API Docs! — PySpark 1.6.0 documentation
pyspark.SparkContext. Main entry point for Spark functionality. pyspark.RDD. A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. https://spark.apache.org Spark Python API Docs! — PySpark 1.6.1 documentation
pyspark.SparkContext. Main entry point for Spark functionality. pyspark.RDD. A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. https://spark.apache.org Spark Python API Docs! — PySpark 1.6.2 documentation
pyspark.SparkContext. Main entry point for Spark functionality. pyspark.RDD. A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. https://spark.apache.org Spark Python API Docs! — PySpark 1.6.3 documentation
pyspark.SparkContext. Main entry point for Spark functionality. pyspark.RDD. A Resilient Distributed Dataset (RDD), the basic abstraction in Spark. https://spark.apache.org |