apache-spark-xml | 易学教程

Install com.databricks.spark.xml on emr cluster

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问题 Does anyone knows how do I do to install the com.databricks.spark.xml package on EMR cluster. I succeeded to connect to master emr but don't know how to install packages on the emr cluster. code sc.install_pypi_package("com.databricks.spark.xml") 回答1: On EMR Master node: cd /usr/lib/spark/jars sudo wget https://repo1.maven.org/maven2/com/databricks/spark-xml_2.11/0.9.0/spark-xml_2.11-0.9.0.jar Make sure to select the correct jar according to your Spark version and the guidelines provided in

how to convert multiple row tag xml files to dataframe

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问题 I have xml file having multiple rowstags. i need to convert this xml to proper dataframe. i have used spark-xml which is only handling single row tag. xml data is below <?xml version='1.0' encoding='UTF-8' ?> <generic xmlns="http://xactware.com/generic.xsd" majorVersion="28" minorVersion="300" transactionId="0000"> <HEADER compName="ABGROUP" dateCreated="2018-03-09T09:38:51"/> <COVERSHEET> <ESTIMATE_INFO estimateName="2016-09-28-133907" priceList="YHTRDF" laborEff="Restoration/Service/Remodel

Read XML in spark

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问题 i am trying to read xml/nested xml in pysaprk uing spark-xml jar. df = sqlContext.read \ .format("com.databricks.spark.xml")\ .option("rowTag", "hierachy")\ .load("test.xml" when i execute, dataframe is not creating properly. +--------------------+ | att| +--------------------+ |[[1,Data,[Wrapped...| +--------------------+ xml format i have is mentioned below : 回答1: heirarchy should be rootTag and att should be rowTag as df = spark.read \ .format("com.databricks.spark.xml") \ .option("rootTag

Spark-Xml: Array within an Array in Dataframe to generate XML

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问题 I have a requirement to generate a XML which has a below structure <parent> <name>parent</name <childs> <child> <name>child1</name> </child> <child> <name>child1</name> <grandchilds> <grandchild> <name>grand1</name> </grandchild> <grandchild> <name>grand2</name> </grandchild> <grandchild> <name>grand3</name> </grandchild> </grandchilds> </child> <child> <name>child1</name> </child> </childs> </parent> As you see a parent will have child(s) and a child node may have grandchild(s) nodes. https:

javax.xml.stream.XMLStreamException: Trying to output second root Spark-XML Spark Program

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问题 I am trying to run this small spark-xml example and it fails with exception when i do a spark-submit. Sample REPO : https://github.com/punithmailme/spark-xml-new command : ./dse spark-submit --class MainDriver /Users/praj3/Desktop/projects/spark/main/build/libs/main.jar import java.io.Serializable; import java.nio.file.Paths; import java.util.ArrayList; import java.util.Arrays; import java.util.List; import lombok.Builder; import lombok.Data; import org.apache.hadoop.conf.Configuration;

Out of Memory Error when Reading large file in Spark 2.1.0

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问题 I want to use spark to read a large (51GB) XML file (on an external HDD) into a dataframe (using spark-xml plugin), do simple mapping / filtering, reordering it and then writing it back to disk, as a CSV file. But I always get a java.lang.OutOfMemoryError: Java heap space no matter how I tweak this. I want to understand why doesn't increasing the number of partitions stop the OOM error Shouldn't it split the task into more parts so that each individual part is smaller and doesn't cause memory

Out of Memory Error when Reading large file in Spark 2.1.0

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I want to use spark to read a large (51GB) XML file (on an external HDD) into a dataframe (using spark-xml plugin ), do simple mapping / filtering, reordering it and then writing it back to disk, as a CSV file. But I always get a java.lang.OutOfMemoryError: Java heap space no matter how I tweak this. I want to understand why doesn't increasing the number of partitions stop the OOM error Shouldn't it split the task into more parts so that each individual part is smaller and doesn't cause memory problems? (Spark can't possibly be trying to stuff everything in memory and crashing if it doesn't

Adding part of the parent Schema column to child in nested json in spark data frame

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问题 I have below xml that i am trying to load in to spark data frame. <?xml version="1.0"?> <env:ContentEnvelope xsi:schemaLocation="http"> <env:Header> <env:Info> <env:Id>urn:uuid:6d2af93bfbfc49da9805aebb6a38996d</env:Id> <env:TimeStamp>20171122T07:56:09+00:00</env:TimeStamp> </env:Info> <fun:OrgId>18227</fun:OrgId> <fun:DataPartitionId>1</fun:DataPartitionId> </env:Header> <env:Body minVers="0.0" majVers="1" contentSet="Fundamental"> <env:ContentItem action="Overwrite"> <env:Data xsi:type="sr