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https://issues.apache.org/jira/browse/PARQUET-1822?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17792120#comment-17792120
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ASF GitHub Bot commented on PARQUET-1822:
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drealeed commented on PR #1111:
URL: https://github.com/apache/parquet-mr/pull/1111#issuecomment-1836333591
Our project needs this feature as well, is there a date for the next major
release?
> 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
> Priority: Minor
> Labels: documentation, newbie
> Fix For: 1.14.0
>
>
> 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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