Operate OSS files - E-MapReduce
are already seamlessly compatible with OSS in E-MapReduce, and you can operate OSS files as you are using HDFS.
The current E-MapReduce environment supports MetaService, which allows you to access OSS data in the E-MapReduce environment ...
Use Spark to access OSS - E-MapReduce
E-MapReduce supports MetaService, which allows you to access OSS data in the E-MapReduce environment without an;count: $cnt")
val outputPath = "oss://bucket/path/to/write"
val outpuData = inputData.map(e = s"$e ...
OSS ACL - E-MapReduce
E-MapReduce supports using RAM to isolate the data of different sub-accounts. The, use the corresponding sub-account to log on to E-MapReduce with following limits:
All buckets can be seen in the ...
E-MapReduce Cluster Operation Guide - E-MapReduce
This document provides instructions on how to operate E-MapReduce clusters.
Note: In E-MapReduce cluster version that is 3.2 on the Web interface of E-MapReduce. The operation procedure for each service are similar. Here, we take HDFS as an example to ...
E-MapReduce SDK release notes - E-MapReduce
E-MapReduce SDK release notesDescription
emr-core package: implements interaction between Hadoop/Spark and OSS data sources. It native Snappy files. Now, E-MapReduce supports processing files archived in OSS in Snappy format by Log Service.
Solve the problem ...