spark-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Nicholas Chammas <nicholas.cham...@gmail.com>
Subject Re: How to get the HDFS path for each RDD
Date Mon, 28 Sep 2015 03:09:43 GMT
Shouldn't this discussion be held on the user list and not the dev list?
The dev list (this list) is for discussing development on Spark itself.

Please move the discussion accordingly.

Nick
2015년 9월 27일 (일) 오후 10:57, Fengdong Yu <fengdongy@everstring.com>님이
작성:

> Hi Anchit,
> cat you create more than one data in each dataset to test again?
>
>
>
> On Sep 26, 2015, at 18:00, Fengdong Yu <fengdongy@everstring.com> wrote:
>
> Anchit,
>
> please ignore my inputs. you are right. Thanks.
>
>
>
> On Sep 26, 2015, at 17:27, Fengdong Yu <fengdongy@everstring.com> wrote:
>
> Hi Anchit,
>
> this is not my expected, because you specified the HDFS directory in your
> code.
> I've solved like this:
>
>        val text = sc.hadoopFile(Args.input,
>                    classOf[TextInputFormat], classOf[LongWritable],
> classOf[Text], 2)
>         val hadoopRdd = text.asInstanceOf[HadoopRDD[LongWritable, Text]]
>
>           hadoopRdd.mapPartitionsWithInputSplit((inputSplit, iterator) => {
>               val file = inputSplit.asInstanceOf[FileSplit]
>               terator.map ( tp => {tp._1, new Text(file.toString + “,” +
> tp._2.toString)})
>           }
>
>
>
>
> On Sep 25, 2015, at 13:12, Anchit Choudhry <anchit.choudhry@gmail.com>
> wrote:
>
> Hi Fengdong,
>
> So I created two files in HDFS under a test folder.
>
> test/dt=20100101.json
> { "key1" : "value1" }
>
> test/dt=20100102.json
> { "key2" : "value2" }
>
> Then inside PySpark shell
>
> rdd = sc.wholeTextFiles('./test/*')
> rdd.collect()
> [(u'hdfs://localhost:9000/user/hduser/test/dt=20100101.json', u'{ "key1"
> : "value1" }), (u'hdfs://localhost:9000/user/hduser/test/dt=20100102.json',
> u'{ "key2" : "value2" })]
> import json
> def editMe(y, x):
>       j = json.loads(y)
>       j['source'] = x
>       return j
>
> rdd.map(lambda (x,y): editMe(y,x)).collect()
> [{'source': u'hdfs://localhost:9000/user/hduser/test/dt=20100101.json',
> u'key1': u'value1'}, {u'key2': u'value2', 'source': u'hdfs://localhost
> :9000/user/hduser/test/dt=20100102.json'}]
>
> Similarly you could modify the function to return 'source' and 'date' with
> some string manipulation per your requirements.
>
> Let me know if this helps.
>
> Thanks,
> Anchit
>
>
> On 24 September 2015 at 23:55, Fengdong Yu <fengdongy@everstring.com>
> wrote:
>
>>
>> yes. such as I have two data sets:
>>
>> date set A: /data/test1/dt=20100101
>> data set B: /data/test2/dt=20100202
>>
>>
>> all data has the same JSON format , such as:
>> {“key1” : “value1”, “key2” : “value2” }
>>
>>
>> my output expected:
>> {“key1” : “value1”, “key2” : “value2” , “source” : “test1”,
“date” :
>> “20100101"}
>> {“key1” : “value1”, “key2” : “value2” , “source” : “test2”,
“date” :
>> “20100202"}
>>
>>
>> On Sep 25, 2015, at 11:52, Anchit Choudhry <anchit.choudhry@gmail.com>
>> wrote:
>>
>> Sure. May I ask for a sample input(could be just few lines) and the
>> output you are expecting to bring clarity to my thoughts?
>>
>> On Thu, Sep 24, 2015, 23:44 Fengdong Yu <fengdongy@everstring.com> wrote:
>>
>>> Hi Anchit,
>>>
>>> Thanks for the quick answer.
>>>
>>> my exact question is : I want to add HDFS location into each line in my
>>> JSON  data.
>>>
>>>
>>>
>>> On Sep 25, 2015, at 11:25, Anchit Choudhry <anchit.choudhry@gmail.com>
>>> wrote:
>>>
>>> Hi Fengdong,
>>>
>>> Thanks for your question.
>>>
>>> Spark already has a function called wholeTextFiles within sparkContext
>>> which can help you with that:
>>>
>>> Python
>>>
>>> hdfs://a-hdfs-path/part-00000hdfs://a-hdfs-path/part-00001
>>> ...hdfs://a-hdfs-path/part-nnnnn
>>>
>>> rdd = sparkContext.wholeTextFiles(“hdfs://a-hdfs-path”)
>>>
>>> (a-hdfs-path/part-00000, its content)
>>> (a-hdfs-path/part-00001, its content)
>>> ...
>>> (a-hdfs-path/part-nnnnn, its content)
>>>
>>> More info: http://spark.apache.org/docs/latest/api/python/pyspark
>>> .html?highlight=wholetext#pyspark.SparkContext.wholeTextFiles
>>>
>>> ------------
>>>
>>> Scala
>>>
>>> val rdd = sparkContext.wholeTextFile("hdfs://a-hdfs-path")
>>>
>>> More info: https://spark.apache.org/docs/latest/api/scala
>>> /index.html#org.apache.spark.SparkContext@wholeTextFiles(String,Int):RDD
>>> [(String,String)]
>>>
>>> Let us know if this helps or you need more help.
>>>
>>> Thanks,
>>> Anchit Choudhry
>>>
>>> On 24 September 2015 at 23:12, Fengdong Yu <fengdongy@everstring.com>
>>> wrote:
>>>
>>>> Hi,
>>>>
>>>> I have  multiple files with JSON format, such as:
>>>>
>>>> /data/test1_data/sub100/test.data
>>>> /data/test2_data/sub200/test.data
>>>>
>>>>
>>>> I can sc.textFile(“/data/*/*”)
>>>>
>>>> but I want to add the {“source” : “HDFS_LOCATION”} to each line,
then
>>>> save it the one target HDFS location.
>>>>
>>>> how to do it, Thanks.
>>>>
>>>>
>>>>
>>>>
>>>>
>>>>
>>>> ---------------------------------------------------------------------
>>>> To unsubscribe, e-mail: dev-unsubscribe@spark.apache.org
>>>> For additional commands, e-mail: dev-help@spark.apache.org
>>>>
>>>>
>>>
>>>
>>
>
>
>
>

Mime
View raw message