apache / apache/arrow-java

[JAVA][C++]Support Parquet Read and Write in Java

Open
#279 8 comments 1 reaction 0 assignees View on GitHub
Type: enhancement
Dominant language
Java
Stars
94
Forks
152
Avg merge
3d 16h
Merged PRs (30d)
11

Description

We added a new java interface to support parquet read and write from hdfs or local file.

The purpose of this implementation is that when we loading and dumping parquet data in Java, we can only use rowBased put and get methods. Since arrow already has C++ implementation to load and dump parquet, so we wrapped those codes as Java APIs.

After test, we noticed in our workload, performance improved more than 2x comparing with rowBased load and dump. So we want to contribute codes to arrow.

since this is a total independent change, there is no codes change to current arrow codes. We added two folders as listed:  java/adapter/parquet and cpp/src/jni/parquet

**Reporter**: [Chendi.Xue](https://issues.apache.org/jira/browse/ARROW-6720)
#### Related issues:
- [[Java][Dataset] Implement Datasets Java API ](https://github.com/apache/arrow/issues/17055) (incorporates)
- [[Java][Dataset] Support writing to files within dataset scanner via JNI](https://github.com/apache/arrow/issues/27628) (incorporates)
#### PRs and other links:
- [GitHub Pull Request apache/arrow#5522](https://github.com/apache/arrow/pull/5522)
- [GitHub Pull Request apache/arrow#5717](https://github.com/apache/arrow/pull/5717)
- [GitHub Pull Request apache/arrow#5719](https://github.com/apache/arrow/pull/5719)

**Note**: *This issue was originally created as [ARROW-6720](https://issues.apache.org/jira/browse/ARROW-6720). Please see the [migration documentation](https://github.com/apache/arrow/issues/14542) for further details.*

Contributor guide

Open the contributing guide

Research direction

Start by reviewing java/adapter/parquet and cpp/src/jni/parquet, then compare the linked pull requests #5522, #5717, and #5719 with the related dataset issues. Check the Java APIs for HDFS and local-file Parquet read/write and their tests; done means the required support is present without duplicating the incorporated dataset work.

Written by the indexing model from the issue text.

Assessment

Tech stack
cpp, java
Domain
backend, data
Issue type
Feature
Difficulty
4/5
Estimated time
3-5 days
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
20/100

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