能否在IBM InfoSphere Streams（含NA版）通过hdfs2FileSink算子写入ORC格式至HDFS？

Let’s walk through your two questions one by one to keep things clear:

1. Can the hdfs2FileSink operator write data to HDFS in ORC format in IBM InfoSphere Streams? #

Yes, the hdfs2FileSink operator does support writing data to HDFS in ORC format—you just need to get a few key configurations right:

• First, confirm your Streams environment has the required Hadoop and ORC dependencies available. This usually means ensuring the ORC JAR files are in the classpath that Streams uses for HDFS interactions.
• In your Streams application code, set the fileFormat parameter of hdfs2FileSink to ORC. Here’s a quick example snippet:

  hdfs2FileSink(
    fileFormat: "ORC",
    hdfsUri: "hdfs://your-hdfs-namenode:8020",
    directory: "/your/output/directory",
    // Add other parameters like rollSize, batchSize as needed for your use case
  )
  

• Also, make sure the schema of your tuples aligns with ORC’s columnar structure. ORC relies on well-defined schemas for proper serialization, so double-check that your tuple schema matches the expected ORC column definitions.

2. Does the IBM InfoSphere Streams NA (Native Architecture) version support this operation? #

Absolutely, the NA version of InfoSphere Streams does support using hdfs2FileSink to write ORC format to HDFS, though there are a couple of things to note:

• You’ll need to ensure the NA runtime environment has compatible Hadoop client libraries (including ORC support) installed and configured correctly. Since NA runs on native Linux environments, make sure these dependencies are accessible to Streams processes (for example, by setting the appropriate environment variables or including paths in the Streams configuration).
• Older releases of Streams NA might have limited support for newer ORC versions. It’s a good idea to cross-check your Streams version’s compatibility matrix to confirm which ORC versions are supported—newer Streams releases typically support ORC 1.5 and above, while older ones may be restricted to earlier formats.

内容的提问来源于stack exchange，提问作者Gandhi Sree