What if we could take Splunk and put it on top of all the data stored in Hadoop? This is what Splunk actually did. The following shows the names Hunk was derived from:
Let's discuss some goals that Hunk's inventors were thinking about when they were planning Hunk:
Splunk can take data from Hadoop via the Splunk Hadoop Connection App. However, it is a bad idea to copy massive amounts of data from Hadoop to Splunk, it is much better to process data in-place, because Hadoop provides both storage and computation; why not take advantage of both of them?
Splunk has the extremely powerful Splunk Processing Language (SPL) and it has a wide range of analytic functions. That's why it is a good idea to keep SPL in the new product.
Splunk has a true on-the-fly schema. Data that we store in Hadoop changes constantly. So, Hunk has to be able build a schema on-the-fly independently of the data format.
It is a very good idea to provide the ability to make a preview. As you know, when searching you can get incremental results. It can dramatically reduce outage. For example, we don't want to wait till a map reduce job finishes; we can look at the incremental result and, in the event of a wrong result, we can restart the search query.
Deployment of Hadoop is not easy, and Splunk tries to make the installation and configuration of Hunk easy for us.
Let's discuss more closely the reasons for supporting SPL. You are probably familiar with Splunk and SPL and know how powerful and flexible this language is. These are some of the advantages of SPL:
Naturally suitable for
MapReduceReduces adoption time for people who are already familiar with Splunk
There are some challenges in integrating SPL and Hadoop. Hadoop is written in Java but all SPL code is in C++. Does SPL need to convert to Java or reuse what Splunk has provided? Finally, it was decided to reuse C++ code entirely.
No one likes to look at a blank screen. A lot of people using other tools such as Pig or Hive have to wait until the query is finished and you have no idea what the query is actually retrieving for you. Maybe you made a mistake, but you didn't know about it; you will have to wait till the job is completed. It is a kind of frustration—running queries and waiting for hours.
That's why the Hunk team gave their users the ability to preview the result. You will be able to play with this in future chapters.
