如何在Apache Spark预构建版本中添加像spark-csv这样的新库

Question

我已经构建了Spark-csv,并且可以使用以下命令从pyspark shell中使用它

bin/spark-shell --packages com.databricks:spark-csv_2.10:1.0.3

得到错误

>>> df_cat.save("k.csv","com.databricks.spark.csv")
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/Users/abhishekchoudhary/bigdata/cdh5.2.0/spark-1.3.1/python/pyspark/sql/dataframe.py", line 209, in save
    self._jdf.save(source, jmode, joptions)
  File "/Users/abhishekchoudhary/bigdata/cdh5.2.0/spark-1.3.1/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py", line 538, in __call__
  File "/Users/abhishekchoudhary/bigdata/cdh5.2.0/spark-1.3.1/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line 300, in get_return_value
py4j.protocol.Py4JJavaError

我应该将jar文件放在我的spark预构建设置中,以便我也可以spark-csv直接从python编辑器访问.

Answer 1

当我使用spark-csv时,我也不得不下载commons-csvjar(不确定它是否仍然相关).两个罐子里面都有火花分布文件夹.

1. 我下载了以下罐子:

   wget http://search.maven.org/remotecontent?filepath=org/apache/commons/commons-csv/1.1/commons-csv-1.1.jar -O commons-csv-1.1.jar<br/>    
   wget http://search.maven.org/remotecontent?filepath=com/databricks/spark-csv_2.10/1.0.0/spark-csv_2.10-1.0.0.jar -O spark-csv_2.10-1.0.0.jar
   

2. 然后用参数启动python spark shell:

   ./bin/pyspark --jars "spark-csv_2.10-1.0.0.jar,commons-csv-1.1.jar"
   

3. 并从csv文件中读取spark数据帧:

   from pyspark.sql import SQLContext
   sqlContext = SQLContext(sc)
   df = sqlContext.load(source="com.databricks.spark.csv", path = "/path/to/you/file.csv")
   df.show()
   

Answer 2

另一个选择是将以下内容添加到spark-defaults.conf:

spark.jars.packages com.databricks:spark-csv_2.11:1.2.0

Answer 3

而不是将jar放在任何特定的文件夹中,一个简单的解决方法是使用以下参数启动pyspark shell:

bin/pyspark --packages com.databricks:spark-csv_2.10:1.0.3

这将自动加载所需的spark-csv罐子.

然后执行以下操作以阅读csv文件:

from pyspark.sql import SQLContext
sqlContext = SQLContext(sc)
df = sqlContext.read.format('com.databricks.spark.csv').options(header='true').load('file.csv')
df.show()