使用笔记本时,将jar添加到pyspark

Question

我正在尝试将mongodb hadoop与spark集成,但无法弄清楚如何让IPython笔记本可以访问jar.

这就是我要做的:

# set up parameters for reading from MongoDB via Hadoop input format
config = {"mongo.input.uri": "mongodb://localhost:27017/db.collection"}
inputFormatClassName = "com.mongodb.hadoop.MongoInputFormat"

# these values worked but others might as well
keyClassName = "org.apache.hadoop.io.Text"
valueClassName = "org.apache.hadoop.io.MapWritable"

# Do some reading from mongo
items = sc.newAPIHadoopRDD(inputFormatClassName, keyClassName, valueClassName, None, None, config)

当我使用以下命令在pyspark中启动它时,此代码工作正常:

spark-1.4.1/bin/pyspark --jars'mongo-hadoop-core-1.4.0.jar,mongo-java-driver-3.0.2.jar'

where mongo-hadoop-core-1.4.0.jar 和mongo-java-driver-2.10.1.jar允许从java使用mongodb.但是,当我这样做时:

IPYTHON_OPTS ="notebook"spark-1.4.1/bin/pyspark --jars'mongo-hadoop-core-1.4.0.jar,mongo-java-driver-3.0.2.jar'

这些罐子不再可用了,我收到以下错误:

java.lang.ClassNotFoundException:com.mongodb.hadoop.MongoInputFormat

有谁知道如何在IPython笔记本中为罐子提供罐子？我很确定这不是特定于mongo所以也许有人已经成功地在使用笔记本时将jar添加到类路径中？

Answer 1

非常相似，请告诉我这是否有帮助： https ://issues.apache.org/jira/browse/SPARK-5185