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spark sql中保存数据的几种方式

时间:2015-05-18 16:09:17      阅读:181      评论:0      收藏:0      [点我收藏+]

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从官网来copy过来的几种模式描述:

Scala/JavaPythonMeaning
SaveMode.ErrorIfExists(default) "error"(default) When saving a DataFrame to a data source, if data already exists, an exception is expected to be thrown.
SaveMode.Append "append" When saving a DataFrame to a data source, if data/table already exists, contents of the DataFrame are expected to be appended to existing data.
SaveMode.Overwrite "overwrite" Overwrite mode means that when saving a DataFrame to a data source, if data/table already exists, existing data is expected to be overwritten by the contents of the DataFrame.
SaveMode.Ignore "ignore" Ignore mode means that when saving a DataFrame to a data source, if data already exists, the save operation is expected to not save the contents of the DataFrame and to not change the existing data. This is similar to a `CREATE TABLE IF NOT EXISTS` in SQL.

 

ErrorIfExists就是出现错误后,抛出错误 

Append顾名思义,就是追加信息

Overwrite是覆盖

Ignore是如果存在则忽略

 

另外,如果没有指定存储模式,那么默认应该是SaveMode.ErrorIfExists,因为我重复保存后报了:already exists错误来着。

 

如何使用:

import org.apache.spark.sql._
val sqlContext = new org.apache.spark.sql.SQLContext(sc)
val df = sqlContext.load("/opt/modules/spark1.3.1/examples/src/main/resources/people.json")
 df.save("/opt/test/1","json", SaveMode.Overwrite)  //可以把SaveMode.Overwrite换成其他的几种形式喽

  

 

spark sql中保存数据的几种方式

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原文地址:http://www.cnblogs.com/hark0623/p/4511866.html

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