[jira] [Created] (PARQUET-1822) Parquet without Hadoop dependencies

["mark juchems (Jira)" <ji...@apache.org>]

mark juchems created PARQUET-1822:
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             Summary: Parquet without Hadoop dependencies
                 Key: PARQUET-1822
                 URL: https://issues.apache.org/jira/browse/PARQUET-1822
             Project: Parquet
          Issue Type: Improvement
          Components: parquet-avro
    Affects Versions: 1.11.0
         Environment: Amazon Fargate (linux), Windows development box.

We are writing Parquet to be read by the Snowflake and Athena databases.
            Reporter: mark juchems


I have been trying for weeks to create a parquet file from avro and write to S3 in Java.  This has been incredibly frustrating and odd as Spark can do it easily (I'm told).

I have assembled the correct jars through luck and diligence, but now I find out that I have to have hadoop installed on my machine. I am currently developing in Windows and it seems a dll and exe can fix that up but am wondering about Linus as the code will eventually run in Fargate on AWS.

*Why do I need external dependencies and not pure java?*

The thing really is how utterly complex all this is.  I would like to create an avro file and convert it to Parquet and write it to S3, but I am trapped in "ParquetWriter" hell! 

*Why can't I get a normal OutputStream and write it wherever I want?*

I have scoured the web for examples and there are a few but we really need some documentation on this stuff.  I understand that there may be reasons for all this but I can't find them on the web anywhere.  Any help?  Can't we get the "SimpleParquet" jar that does this:

 

ParquetWriter writer = AvroParquetWriter.<GenericData.Record>builder(outputStream)
 .withSchema(avroSchema)
 .withConf(conf)
 .withCompressionCodec(CompressionCodecName.SNAPPY)
 .withWriteMode(Mode.OVERWRITE)//probably not good for prod. (overwrites files).
 .build();

 



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