本文介绍了如何使用saveAsHadoopFile或MultiTextOutputFormat保存数据帧的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！
问题描述
基本上我需要基于DataPartition列创建输出文件.数据框中的最后一列
Basically i need to create output file based on the DataPartition column.Last column in the data frame
因此第一行和最后一行将保存在Fundamental.Fundamental.Fundamental.Japan.1.2018-09-24-0937.Full.txt中并且中间行将保存在Fundamental.Fundamental.Fundamental.ThirdParty.1.2018-09-24-0937.Full.txt
So First row and last row will be saved in Fundamental.Fundamental.Fundamental.Japan.1.2018-09-24-0937.Full.txtand middle row will be saved in Fundamental.Fundamental.Fundamental.ThirdParty.1.2018-09-24-0937.Full.txt
+--------------------------------+--------------+---------------------------+-------------------------+--------+------------------+--------+-----------------+---------------+--------------------------+---------------------------+---------------+-------------------------+-----------------------------+-----------------------------------+-----------------------+----------------------------+----------------------------------+--------------------+----------+-----------+------------------------------------------------------------------------------------------------------------------------------------------------+
|Fundamental_uniqueFundamentalSet|OrganizationId|OrganizationId_objectTypeId|OrganizationId_objectType|GaapCode|ConsolidationBasis|IsFiling|NonFilingDateTime|NonFilingReason|PrimaryReportingEntityCode|TotalPrimaryReportingShares|LocalLanguageId|Fundamental_effectiveFrom|Fundamental_effectiveFromPlus|Fundamental_effectiveFromPlusNaCode|Fundamental_effectiveTo|Fundamental_effectiveToMinus|Fundamental_effectiveToMinusNACode|ConsolidationBasisId|GaapCodeId|FFAction|!||DataPartition |
+--------------------------------+--------------+---------------------------+-------------------------+--------+------------------+--------+-----------------+---------------+--------------------------+---------------------------+---------------+-------------------------+-----------------------------+-----------------------------------+-----------------------+----------------------------+----------------------------------+--------------------+----------+-----------+------------------------------------------------------------------------------------------------------------------------------------------------+
|192730241374 |4295877894 |404010 |Organization |JPG |Consolidated |true | | |A51EF |117588807.00000 |505126 |2013-06-29T00:55:15Z | | |9999-12-31T00:00:00Z | | |3013598 |3011577 |I|!| |file:/C:/Users/u6034690/Desktop/SPARK/trfsmallfffile/Fundamental/FINALSPARK/Fundamental.Fundamental.Fundamental.Japan.1.2018-09-24-0937.Full.txt|
|192730391384 |4295877894 |404010 |Organization |AOG |Consolidated |true | | |A51EF |117588807.00000 |505126 |2018-09-19T09:51:46Z | | |9999-12-31T00:00:00Z | | |3013598 |1003042842|I|!| |file:/C:/Users/u6034690/Desktop/SPARK/trfsmallfffile/Fundamental/FINALSPARK/Fundamental.Fundamental.Fundamental.ThirdParty.1.2018-09-24-0937.Full.txt|
|192730241373 |4295877894 |404010 |Organization |JPG |Parent |true | | |A51EF |117588807.00000 |505126 |2013-06-29T00:55:15Z | | |9999-12-31T00:00:00Z | | |3013599 |3011577 |I|!| |file:/C:/Users/u6034690/Desktop/SPARK/trfsmallfffile/Fundamental/FINALSPARK/Fundamental.Fundamental.Fundamental.Japan.1.2018-09-24-0937.Full.txt|
+--------------------------------+--------------+---------------------------+-------------------------+--------+------------------+--------+-----------------+---------------+--------------------------+---------------------------+---------------+-------------------------+-----------------------------+-----------------------------------+-----------------------+----------------------------+----------------------------------+--------------------+----------+-----------+------------------------------------------------------------------------------------------------------------------------------------------------+
某种我正在寻找的东西无法正常工作.
import org.apache.hadoop.io.NullWritable
import org.apache.spark.HashPartitioner
import org.apache.hadoop.mapred.lib.MultipleTextOutputFormat
class RddMultiTextOutputFormat extends MultipleTextOutputFormat[Any, Any] {
override def generateActualKey(key: Any, value: Any): Any = NullWritable.get()
override def generateFileNameForKeyValue(key: Any, value: Any, name: String): String = key.asInstanceOf[String]
}
dataframe.partitionBy(new HashPartitioner(noOfHashPartitioner)).saveAsHadoopFile(output, classOf[String], classOf[String], classOf[RddMultiTextOutputFormat], classOf[GzipCodec])
预期输出.
Fundamental.uniqueFundamentalSet|^|OrganizationId|^|OrganizationId.objectTypeId|^|OrganizationId.objectType|^|GaapCode|^|ConsolidationBasis|^|IsFiling|^|NonFilingDateTime|^|NonFilingReason|^|PrimaryReportingEntityCode|^|TotalPrimaryReportingShares|^|LocalLanguageId|^|Fundamental.effectiveFrom|^|Fundamental.effectiveFromPlus|^|Fundamental.effectiveFromPlusNaCode|^|Fundamental.effectiveTo|^|Fundamental.effectiveToMinus|^|Fundamental.effectiveToMinusNACode|^|ConsolidationBasisId|^|GaapCodeId|^|FFAction|!|
192730241373|^|4295877894|^|404010|^|Organization|^|JPG|^|Parent|^|True|^||^||^|A51EF|^|117588807.00000|^|505126|^|2013-06-29T00:55:15Z|^||^||^|9999-12-31T00:00:00Z|^||^||^|3013599|^|3011577|^|I|!|
192730241374|^|4295877894|^|404010|^|Organization|^|JPG|^|Consolidated|^|True|^||^||^|A51EF|^|117588807.00000|^|505126|^|2013-06-29T00:55:15Z|^||^||^|9999-12-31T00:00:00Z|^||^||^|3013598|^|3011577|^|I|!|
推荐答案
您需要创建一个PairedRDD，其键为输出文件名，值为记录，然后可以调用saveAsHadoopFile()来保存文件您正在寻找的东西.
You need to create a PairedRDD with the key being your output file name and value being the record and then you can callsaveAsHadoopFile() to save the files the way that you are looking for.
import org.json.JSONObject
val dataframe = .... //this is the dataframe that you want to save
val pairedRDD = dataframe.toJSON.rdd.map(row => {
val record = new JSONObject(row)
val key = record.getString("DataPartition")
(key, row)
})
pairedRDD.partitionBy(new HashPartitioner(noOfHashPartitioner))
.saveAsHadoopFile("", classOf[String], classOf[String], classOf[RddMultiTextOutputFormat])
这将为您提供所需的输出.
This will give you, your desired output.
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