Elasticsearch for Apache Hadoop 2.1.0.Beta2
Release Notes
New features:
- Integration with Apache Storm #267
- Return metadata (not just source) to clients #275
Enhancements:
- Allow LinkedMapWritable to include document meta fields like _version #261
- Issue with inserting/parsing timestamps from hive to elasticsearch. #259
- Add explicit example plus API for RDD operations #246
- EsSpout : define max number of replays #285
Bug fixes:
- Missing commons-cli dependency? #288
- Hadoop's uber mode causes job failure #280
- Rich JSON objects cannot be used as script parameters #277
- Issue with named queries #273
- ArrayIndexOutOfBoundsException on Spark on 'pining' tasks #272
- date fields with long values are not properly returned #271
- Escape fields to prevent incorrect URIs #264
- Fix manifest in snapshot builds #262
- Tasks are not correctly pinned to their target shards #258
- Keep original nodes when adding discoveredHosts in SettingsUtils #256
- Docs say version is 2.1.0.M1, but is really 2.1.0.Beta1 #247
- Is it possible to set the "_id" of a document being written in this API? #237
- elasticsearch-hadoop support multi-hosts in Map/Reduce job #211
- Could not resolve org.elasticsearch.hadoop.pig.ESStorage #291
- Allow arbitrary RDDs to have a header describing their content #281
- not compatible for hadoop 0.20.0 #270
- Issue while joining two tables stored on Elasticsearch using HiveQL #266
- Hive and Elasticsearch work together #257
- Upgrade Gradle to 2.0 #252
- Hadoop Elasticsearch JDBC connector question - potential issue? #250
- ES-Hadoop with SSL proxy #249
- writing data from HIVE to ES #245
- add support for SchemaRDD/Spark SQL #244
- java.lang.IllegalAccessError: tried to access method org.apache.spark.TaskContext.interrupted()Z from class org.elasticsearch.spark.rdd.AbstractEsRDDIterator #292
Docs:
- Got ClassNotFoundException[org.elasticsearch.repositories.hdfs.HdfsRepositoryModule] error when using repository-hdfs plugin #290
- .set is a method of SparkConf not a SparkContext #279
- Document setting ID per each module #263
- Improvement on documentation - setting ids in spark #254
- link to Cascading 2.5 javadoc #248