Utilizing Question Logs in Rockset

At Rockset, we regularly search for methods to provide our prospects higher visibility into the product. Towards this aim, we lately determined to enhance our customer-facing question logging. Our earlier iteration of question logs was primarily based in certainly one of our shared providers referred to as apiserver. As a part of the work that apiserver would do when finishing a question execution request, it could create a log that might finally be ingested into the _events assortment. Nonetheless, there have been points that made us rethink this implementation of question logs:

  1. No isolation: as a result of the question logs in _events relied on shared providers, heavy visitors from one org might have an effect on question logging in different orgs.
  2. Incomplete logs: due to the problems brought on through the use of shared providers, we solely logged question errors – profitable queries wouldn’t be logged. Moreover, it was not doable for us to log information about async queries.
  3. No capacity to debug question efficiency – the question logs in _events solely contained fundamental details about every question. There was no approach for the person to get details about why a given question could have run slowly or exhausted compaute assets because the logs contained no details about the question plan.

Improved Question Logging

The brand new question logs function addresses all of those points. The mechanisms that deal with question logs are contained completely inside your Digital Occasion versus being inside certainly one of Rockset’s shared providers. This provides question logs the benefit of isolation. Moreover, each question you submit shall be mechanically logged when you have already created a set with a question logs supply (offered you don’t hit a price restrict).

How Question Logs Work

Question logging begins on the finish of question execution. As a part of the steps which can be run within the last aggregator when a question has accomplished, a file containing metadata related together with your question is created. At this level, we might also have to gather data from different aggregators that had been concerned within the question. After that is finished, the file is briefly saved in an in-memory buffer. The contents of this buffer are flushed to S3 each few seconds. As soon as question logs have been dumped to S3, they are going to be ingested into any of your question log collections which were created.



After we first designed this challenge, we had at all times supposed for it to work with the question profiler within the console. This might enable our prospects to debug question bottlenecks with these logs. Nonetheless, the question profiler requires fairly a bit of knowledge, that means it could be unimaginable for each question log to include all the knowledge mandatory for the profiler. To unravel this downside, we opted to create two tiers of question logs – INFO and DEBUG logs.

INFO logs are mechanically created for each question issued by your org. They include some fundamental metadata related together with your question however can’t be used with the question profiler. When you recognize that you could be wish to have the flexibility to debug a sure question with the profiler, you’ll be able to specify a DEBUG log threshold together with your question request. If the question execution time is bigger than the desired threshold, Rockset will create each an INFO and a DEBUG log. There are two methods of specifying a threshold:

  1. Use the debug_log_threshold_ms question trace

    SELECT * FROM _events HINT(debug_log_threshold_ms=1000)

  2. Use the debug_threshold_ms parameter in API requests. That is obtainable for each question and question lambda execution requests.

Word that since DEBUG logs are a lot bigger than INFO logs, the speed restrict for DEBUG logs is far decrease. For that reason, it is strongly recommended that you simply solely present a DEBUG log threshold when you recognize that this data might be helpful. In any other case, you run the chance of hitting the speed restrict while you most want a DEBUG log.

System Sources

As a part of this challenge, we determined to introduce a brand new idea referred to as system sources. These are sources which ingest information originating from Rockset. Nonetheless, in contrast to the _events assortment, collections with system sources are managed completely by your group. This lets you configure the entire settings of those collections. We shall be introducing extra system supply sorts as time goes on.

Getting Began with Question Logging

With a view to begin logging your queries, all you have to do is create a set with a question logs supply. This may be finished via the console.


Rockset will start ingesting question logs into this assortment as you submit queries. Logs for the final 24 hours of queries may also be ingested into this assortment. Please be aware that it may take a couple of minutes after a question has accomplished earlier than the related log will present up in your assortment.

With a view to use the question profiler with these logs, open the Rockset Console’s question editor and difficulty a question that targets certainly one of your question logs collections. The question editor will detect that you’re making an attempt to question a set with a question logs supply and a column referred to as ‘Profiler’ shall be added to the question outcomes desk. Any paperwork which have a populated stats area can have a hyperlink on this column. Clicking on this hyperlink will open the question profile in a brand new tab.



Word that customized ingest transformations or question aliases can intrude with this performance so it is strongly recommended that you don’t rename any columns.

For an in depth dive into utilizing Rockset’s Question Profiler, please seek advice from the video obtainable right here.


Hopefully, this has given you a fast look into the performance that question logs can supply. Whether or not you have to debug question efficiency or verify why beforehand accomplished queries have failed, your expertise with Rockset shall be improved by making use of question logs.

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