Reporting

Cancel search using java sdk

ashishrathore
Explorer

Hi,
I am trying to write a java wrapper which deals with retries(x) with a given timeout(n) value. The wrapper is using java Concurrent APIs (ExecutorService, FutureTask, etc). Here is at a high level whats written:

  1. Create a thread which connects to splunk, fetch results and export/store to a file
  2. Step#1 has a timeout after which the operation should fail and retry.
  3. Step#2 times out but partial splunk results still shows up which I am trying to avoid. My results are stored in MultiResultsReaderXml.

What I am looking for is when my thread times out, search should get aborted and returned from there on.

Any pointers would be appreciated.

Below is snippet of code:

public class SplunkSearch {
 public static void main(String[] args) {
   SplunkThread callable = new SplunkThread();
   FutureTask<String> futureTask = new FutureTask<String>(callable);
    ExecutorService executor = Executors.newFixedThreadPool(1);
    executor.execute(futureTask);
    long startTime = System.currentTimeMillis();
    int timeoutInSeconds = 5;
    while (true) {
        try {
            final long timeElapsed = (System.currentTimeMillis() - startTime) / 1000;

            if (timeElapsed > timeoutInSeconds) {
                System.out.println("\nTime limit Exceeded. Aborting!!!");
                futureTask.cancel(true);
                executor.shutdown();
                return;
            }
            futureTask.get(1000L, TimeUnit.MILLISECONDS);

        }  catch (TimeoutException e3) {
            System.out.print(".");
        } catch (Exception e) {
        }
    }

}

class SplunkThread implements Callable<String> {

@Override
public String call() throws Exception {
    pullLogs();
    return "";
}


public void pullLogs() {
    long startTime = System.currentTimeMillis();
    StringBuffer response = new StringBuffer();
    Map<String, Object> map = new HashMap<String, Object>();

    map.put("port", getPort());
    map.put("username", getUsername());
    map.put("password", getPassword());
    map.put("host", getHost());
    map.put("scheme", getScheme());
    map.put("output_mode", "json");
    map.put("output", "summary");

    Service service = Service.connect(map);

    OutputStream outputStream = null;
    InputStream inputStream = null;
    MultiResultsReaderXml multiResultsReader = null;

    try {
        outputStream = new FileOutputStream(instance.getOutputFile());
        inputStream = service.export(instance.getSearchQuery());

        multiResultsReader = new MultiResultsReaderXml(inputStream);
        int countEvents = 0;

        for (final SearchResults searchResults : multiResultsReader) {
            for (Event event : searchResults) {
                for (String key : event.keySet()) {
                    if (key.contains("_raw")) {
                        String data = event.get(key) + "\n";
                        outputStream.write(data.getBytes());

                    }
                }
                countEvents++;
            }
        }
        System.out.println("Total rows fetched: " + countEvents);

    } catch (Exception e) {
        e.printStackTrace();
    } finally {
        try {
            if (outputStream != null) {
                outputStream.close();
            }
            if (inputStream != null) {
                inputStream.close();
            }
            if (multiResultsReader != null) {
                multiResultsReader.close();
            }
        } catch (IOException ioe) {
            ioe.printStackTrace();
        }
    }
    System.out.println("Total time taken: " + (System.currentTimeMillis() - startTime) / 1000 + " secs");
}

}

Tags (3)

ashishrathore
Explorer

NVM. I got it working by putting a timer along the loop where results were getting extracted. If timer runs out, I return at that point.

Get Updates on the Splunk Community!

Index This | What gets bigger the more you remove?

June 2024 Edition Hayyy Splunk Education Enthusiasts and the Eternally Curious!  We’re back with this month’s ...

Introducing the 2024 Splunk MVPs!

We are excited to announce the 2024 cohort of the Splunk MVP program. Splunk MVPs are passionate members of ...

Thanks for the Memories! Splunk University, .conf24, and Community Connections

Thank you to everyone in the Splunk Community who joined us for .conf24 – starting with Splunk University and ...