Spark SQL parquet文件

Parquet文件

Parquet是一種柱狀(columnar)格式，可以被許多其它的數(shù)據(jù)處理系統(tǒng)支持。Spark SQL提供支持讀和寫Parquet文件的功能，這些文件可以自動地保留原始數(shù)據(jù)的模式。

加載數(shù)據(jù)

// sqlContext from the previous example is used in this example.
// createSchemaRDD is used to implicitly convert an RDD to a SchemaRDD.
import sqlContext.createSchemaRDD

val people: RDD[Person] = ... // An RDD of case class objects, from the previous example.

// The RDD is implicitly converted to a SchemaRDD by createSchemaRDD, allowing it to be stored using Parquet.
people.saveAsParquetFile("people.parquet")

// Read in the parquet file created above.  Parquet files are self-describing so the schema is preserved.
// The result of loading a Parquet file is also a SchemaRDD.
val parquetFile = sqlContext.parquetFile("people.parquet")

//Parquet files can also be registered as tables and then used in SQL statements.
parquetFile.registerTempTable("parquetFile")
val teenagers = sqlContext.sql("SELECT name FROM parquetFile WHERE age >= 13 AND age <= 19")
teenagers.map(t => "Name: " + t(0)).collect().foreach(println)

配置

可以在SQLContext上使用setConf方法配置Parquet或者在用SQL時運行SET key=value命令來配置Parquet。