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From Ted Yu <yuzhih...@gmail.com>
Subject Re: How to create DataFrame from a binary file?
Date Mon, 10 Aug 2015 17:43:41 GMT
Umesh:
Please take a look at the classes under:
sql/core/src/main/scala/org/apache/spark/sql/parquet

FYI

On Mon, Aug 10, 2015 at 10:35 AM, Umesh Kacha <umesh.kacha@gmail.com> wrote:

> Hi Bo thanks much let me explain please see the following code
>
> JavaPairRDD<String,PortableDataStream> pairRdd =
> javaSparkContext.binaryFiles("/hdfs/path/to/binfile");
> JavaRDD<PortableDataStream> javardd = pairRdd.values();
>
> DataFrame binDataFrame = sqlContext.createDataFrame(javaBinRdd,
>  PortableDataStream.class);
> binDataFrame.show(); //shows just one row with above file path
> /hdfs/path/to/binfile
>
> I want binary data in DataFrame from above file so that I can directly do
> analytics on it. My data is binary so I cant use StructType
> with primitive data types rigth since everything is binary/byte. My custom
> data format in binary is same as Parquet I did not find any good example
> where/how parquet is read into DataFrame. Please guide.
>
>
>
>
>
> On Sun, Aug 9, 2015 at 11:52 PM, bo yang <bobyangbo@gmail.com> wrote:
>
>> Well, my post uses raw text json file to show how to create data frame
>> with a custom data schema. The key idea is to show the flexibility to deal
>> with any format of data by using your own schema. Sorry if I did not make
>> you fully understand.
>>
>> Anyway, let us know once you figure out your problem.
>>
>>
>>
>>
>> On Sun, Aug 9, 2015 at 11:10 AM, Umesh Kacha <umesh.kacha@gmail.com>
>> wrote:
>>
>>> Hi Bo I know how to create a DataFrame my question is how to create a
>>> DataFrame for binary files and in your blog it is raw text json files
>>> please read my question properly thanks.
>>>
>>> On Sun, Aug 9, 2015 at 11:21 PM, bo yang <bobyangbo@gmail.com> wrote:
>>>
>>>> You can create your own data schema (StructType in spark), and use
>>>> following method to create data frame with your own data schema:
>>>>
>>>> sqlContext.createDataFrame(yourRDD, structType);
>>>>
>>>> I wrote a post on how to do it. You can also get the sample code there:
>>>>
>>>> Light-Weight Self-Service Data Query through Spark SQL:
>>>>
>>>> https://www.linkedin.com/pulse/light-weight-self-service-data-query-through-spark-sql-bo-yang
>>>>
>>>> Take a look and feel free to  let me know for any question.
>>>>
>>>> Best,
>>>> Bo
>>>>
>>>>
>>>>
>>>> On Sat, Aug 8, 2015 at 1:42 PM, unk1102 <umesh.kacha@gmail.com> wrote:
>>>>
>>>>> Hi how do we create DataFrame from a binary file stored in HDFS? I was
>>>>> thinking to use
>>>>>
>>>>> JavaPairRDD<String,PortableDataStream> pairRdd =
>>>>> javaSparkContext.binaryFiles("/hdfs/path/to/binfile");
>>>>> JavaRDD<PortableDataStream> javardd = pairRdd.values();
>>>>>
>>>>> I can see that PortableDataStream has method called toArray which can
>>>>> convert into byte array I was thinking if I have JavaRDD<byte[]>
can I
>>>>> call
>>>>> the following and get DataFrame
>>>>>
>>>>> DataFrame binDataFrame =
>>>>> sqlContext.createDataFrame(javaBinRdd,Byte.class);
>>>>>
>>>>> Please guide I am new to Spark. I have my own custom format which is
>>>>> binary
>>>>> format and I was thinking if I can convert my custom format into
>>>>> DataFrame
>>>>> using binary operations then I dont need to create my own custom Hadoop
>>>>> format am I on right track? Will reading binary data into DataFrame
>>>>> scale?
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> View this message in context:
>>>>> http://apache-spark-user-list.1001560.n3.nabble.com/How-to-create-DataFrame-from-a-binary-file-tp24179.html
>>>>> Sent from the Apache Spark User List mailing list archive at
>>>>> Nabble.com.
>>>>>
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>>>>>
>>>>
>>>
>>
>

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