Spark DataSet - Parquet

Card Puncher Data Processing

About

Parquet formats is a data source

Configuration

See http://spark.apache.org/docs/latest/sql-programming-guide.html#configuration

Class

Spark Reader




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Card Puncher Data Processing
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You can read and write data in : CSV, JSON, and Parquet formats. Data can be stored in : HDFS, hdfs:// and compatible such as S3 s3a://, wasb ... on the local filesystem file:// of cluster...
Card Puncher Data Processing
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The data frame is a dataset of rows (ie organized into named columns). Technically, a data frame is an untyped view of a dataset. A SparkDataFrame is a distributed collection of data organized into...
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Parquet is a read-optimized encoding format (write once, read many) for columnar tabular data Parquet is built from the ground up with complex nested data structures and implements...



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