lanyuanxiaoyao/hudi

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Prasanna Rajaperumal 8974e11161 Make sure properties set in HoodieWriteConfig is propogated down to individual configs. Fix a race condition which lets InputFormat to think file size is 0 when it is actually not

2017-04-27 10:52:25 -07:00

Add ossrh profile to publish maven artifacts to oss.sonatype.org (synced with maven central)

2016-12-21 14:17:35 -08:00

Adding docs for deltastreamer, hivesync tool usage

2017-04-03 21:27:49 -07:00

CR feedback

2017-04-03 18:28:01 -07:00

Make sure properties set in HoodieWriteConfig is propogated down to individual configs. Fix a race condition which lets InputFormat to think file size is 0 when it is actually not

2017-04-27 10:52:25 -07:00

Make sure properties set in HoodieWriteConfig is propogated down to individual configs. Fix a race condition which lets InputFormat to think file size is 0 when it is actually not

2017-04-27 10:52:25 -07:00

hoodie-hadoop-mr

Make sure properties set in HoodieWriteConfig is propogated down to individual configs. Fix a race condition which lets InputFormat to think file size is 0 when it is actually not

2017-04-27 10:52:25 -07:00

Rebase with generic partition support

2017-04-03 21:27:49 -07:00

hoodie-utilities

Adding a config to control whether date partitioning can be assumed

2017-04-03 18:28:01 -07:00

_config.yml

Set theme jekyll-theme-minimal

2016-12-29 16:53:39 -08:00

.gitignore

Importing Hoodie Client from internal repo

2016-12-16 14:34:42 -08:00

.travis.yml

Make hoodie run on travis-ci

2016-12-20 19:26:48 -08:00

LICENSE.txt

Importing Hoodie Client from internal repo

2016-12-16 14:34:42 -08:00

pom.xml

Fixes needed to run merge-on-read testing on production scale data

2017-04-02 22:25:47 -07:00

README.md

Hoodie operability with S3

2017-03-28 05:08:54 -07:00

README.md

Hoodie

Hoodie manages storage of large analytical datasets on HDFS and serve them out via two types of tables

Read Optimized Table - Provides excellent query performance via purely columnar storage (e.g. Parquet)
Near-Real time Table (WIP) - Provides queries on real-time data, using a combination of columnar & row based storage (e.g Parquet + Avro)

For more, head over here

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Java 81.4%

Scala 16.7%

ANTLR 0.9%

Shell 0.8%

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