This sample demonstrates the usage of the Spotfire Streaming CSV File Writer Adapter for Apache Hadoop Distributed File System (HDFS).
You must also open the
CVSWriterTest.sbapp file in the
src/main/eventflow/ folder. Select the Parameters tab and edit the
HDFS_USER values to represent your current HDFS setup and where you would like to store the sample data.
In StreamBase Studio, import this sample with the following steps:
From the top-level menu, click> .
csvto narrow the list of options.
Select HDFS CSV file output adapter from the Large Data Storage and Analysis category.
StreamBase Studio creates a project for this sample.
In the Project Explorer view, open the sample you just loaded.
If you see red marks on a project folder, wait a moment for the project to load its features.
If the red marks do not resolve themselves after a minute, select the project, right-click, and select> from the context menu.
CSVWriterTest.sbappfile and click the Run button. This opens the SB Test/Debug perspective and starts the module.
Select the Manual Input tab.
Enter the value
10for a and click .
Press F9 or click the Terminate EventFlow Fragment button.
The file specified in the HDFS_FILE_PATH parameter value should now contain tuples formatted as shown in this example:
a,b,Timestamp 10,100,2013-06-15 22:48:44.502-0400
You must use an HDFS file browser (such as Hue) to open the file from your HDFS file system to view this information.
When you load the sample into StreamBase® Studio, Studio copies the sample project's files to your Studio workspace, which is normally part of your home directory, with full access rights.
Load this sample in StreamBase® Studio, and thereafter use the Studio workspace copy of the sample to run and test it, even when running from the command prompt.
Using the workspace copy of the sample avoids permission problems. The default workspace location for this sample is:
See Default Installation Directories for the default location of
studio-workspace on your system.