apache / apache/arrow-java

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

Aperta
#279 8 commenti 1 reazione 0 assegnatari Vedi su GitHub
Type: enhancement
Lingua principale
Java
Stelle
94
Fork
152
Merge medio
3g 16h
PR unite (30g)
11

Descrizione

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.*

Guida per i contributori

Apri la guida per i contributori

Direzione di ricerca

Inizia esaminando java/adapter/parquet e cpp/src/jni/parquet, quindi confronta le pull request collegate #5522, #5717 e #5719 con le issue relative ai dataset. Controlla le API Java per la lettura e la scrittura di Parquet in HDFS e nei file locali, insieme ai relativi test; il lavoro è completato quando il supporto richiesto è presente senza duplicare il lavoro sui dataset già incorporato.

Scritto dal modello di indicizzazione a partire dal testo della issue.

Valutazione

Stack tecnologico
cpp, java
Ambito
backend, data
Tipo di issue
Funzionalità
Difficoltà
4/5
Tempo stimato
3-5 giorni
Stato di attività
Ferma
Chiarezza
Abbastanza chiara
Idoneità per principianti
20/100

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