spark = SparkSession.builder.appName("ReadXML").getOrCreate() 使用Spark的XML库读取XML文件: 代码语言:txt 复制 df = spark.read.format('xml').options(rowTag='rootTag').load('path/to/xml/file.xml') 在上述代码中,'rootTag'是XML文件中每个记录的根标签,'path/to/xml/file.xml'是XML文件的路...
读取文件并指定分隔符:data = spark.read.text("path/to/file.txt").rdd.map(lambda x: x[0]) split_data = data.map(lambda x: x.split("|"))在上述代码中,"path/to/file.txt"是文件的路径,可以是本地文件系统或分布式文件系统中的路径。split("|")表示使用"|"作为分隔符,可以根据实际情况修改。
pysparkrddpysparkrdd读取xml 文章目录pyspark读取数据参数介绍formatschemaloadtableoption读取文件jsoncsvparquet和orc读取数据表hivejdbcpyspark读取数据参数介绍formatDataFrameReader.format(source)指定不同格式来读取文件,例如以下为指定json格式读取数据:df = spark.read.format('json').load( ...
df = spark.read.load("examples/src/main/resources/people.csv", format="csv", sep=":", inferSchema="true", header="true") 1. 2. 写csv文件: coalesce(1)表示只写一个文件 save 表示目标文件夹的位置 hdfs格式: hdfs://hp1:8020/user/juzhen 本地格式: file:///tmp/ df3.coalesce(1).wri...
logFile = "file:///usr/local/spark/README.md" logData = sc.textFile(logFile, 2).cache() numAs = logData.filter(lambda line: 'a' in line).count() numBs = logData.filter(lambda line: 'b' in line).count() print('Lines with a: %s, Lines with b: %s' % (numAs, numBs)) ...
方式1：hive-site.xml配置文件 在$HIVE_HOME/conf路径下，可以添加一个hive-site.xml文件，把需要定义...
#8.配置pyspark访问hive1.将被访问的hadoop集群中的相关配置文件复制到本地hadoop集群中,具体文件是$HADOOP_HOME/etc/hadoop/下的`yarn-site.xml、core-site.xml、hdfs-site.xml、hadoop-env.sh、mapred-site.xml、workers`2.将$HADOOP_HOME/etc/hadoop/下的相关文件复制到本地%SPARK_HOME%\conf下,具体文件有...
Makefile README.md build.sbt log4j.properties scalastyle-config.xml tox.ini version.txt Repository files navigation README Apache-2.0 license PySpark Cassandra pyspark-cassandrais a Python port of the awesomeDataStax Cassandra Connector. This module provides Python support for Apache Spark's Resilient...
Python - Read files from hdfs, 0. You're not using the API properly: format is used to specify the input data source format you want. Here, you're reading text file so all you have to do is: t = spark.read.text ("hdfs://test/a.txt") t.collect () See related doc. Share. ...
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