Splunk Search

How to manage memory consumption while returning data from a search using the Java SDK?

clomeli
Engager

This may be a silly question, but how does one manage memory while returning data from a search? The results are being placed in a Map and I think there must be some way of streaming the data or throttling the output - to manage memory.

Tags (4)
0 Karma
1 Solution

clomeli
Engager

I think I understand how this works. I can count the records and fetch in smaller increments using

    int resultCount = job.getResultCount(); // Number of results this job returned
    int x = 0;          // Result counter
    int offset = 0;     // Start at result 0
    int count = 10;     // Get sets of 10 results at a time                    

    // Loop through each set of results
    while (offset < resultCount) {
        CollectionArgs outputArgs = new CollectionArgs();
        outputArgs.setCount(count);
        outputArgs.setOffset(offset);

        // Get the search results and display them
        InputStream results = job.getResults(outputArgs);
        ResultsReaderXml resultsReader = new ResultsReaderXml(results);
        HashMap<String, String> event;

        while ((event = resultsReader.getNextEvent()) != null) {
            x++;
            System.out.println("\n***** RESULT " + x + " *****\n");
            for (String key: event.keySet())
                System.out.println("   " + key + ":  " + event.get(key));
        }
        resultsReader.close();

        // Increase the offset to get the next set of results
        offset = offset + count;
    }       

View solution in original post

clomeli
Engager

I think I understand how this works. I can count the records and fetch in smaller increments using

    int resultCount = job.getResultCount(); // Number of results this job returned
    int x = 0;          // Result counter
    int offset = 0;     // Start at result 0
    int count = 10;     // Get sets of 10 results at a time                    

    // Loop through each set of results
    while (offset < resultCount) {
        CollectionArgs outputArgs = new CollectionArgs();
        outputArgs.setCount(count);
        outputArgs.setOffset(offset);

        // Get the search results and display them
        InputStream results = job.getResults(outputArgs);
        ResultsReaderXml resultsReader = new ResultsReaderXml(results);
        HashMap<String, String> event;

        while ((event = resultsReader.getNextEvent()) != null) {
            x++;
            System.out.println("\n***** RESULT " + x + " *****\n");
            for (String key: event.keySet())
                System.out.println("   " + key + ":  " + event.get(key));
        }
        resultsReader.close();

        // Increase the offset to get the next set of results
        offset = offset + count;
    }       
Get Updates on the Splunk Community!

Stay Connected: Your Guide to July Tech Talks, Office Hours, and Webinars!

What are Community Office Hours?Community Office Hours is an interactive 60-minute Zoom series where ...

Updated Data Type Articles, Anniversary Celebrations, and More on Splunk Lantern

Splunk Lantern is a Splunk customer success center that provides advice from Splunk experts on valuable data ...

A Prelude to .conf25: Your Guide to Splunk University

Heading to Boston this September for .conf25? Get a jumpstart by arriving a few days early for Splunk ...