Measuring tableau performance against redshift

It’s also very interesting to combine this information. Database user interface Ultimately I focus more on perceived performance of Tableau, so I always review Redshift’s performance in that light. Data recovery jaipur We’ll talk more about that later. Database platforms Measuring Redshift Performance.

• You can query Redshift’s STV_ACTIVE_CURSORS virtual system table, but this sucker doesn’t store a “history” of queries as far as I know. Data recovery group You can also hit STL_QUERY and/or STL_QUERYTEXT for more historical text I don’t like option two because a query with lots of text (which is most of them for Tableau) gets split up across multiple rows in these tables. Database xls I hate trying to read the query across multiple rows. Option one is great for spot-checking things, not so hot if you want to create a historical baseline. C database library I loooove option two. 510 k database Below, we’ll discuss both. How to become a database administrator Turn Cursors Off By default, Tableau uses cursors when returning a resultset from Redshift. Database xml The side effect of using a cursor is that you can’t see the actual query that Tableau fires inside the Redshift console. Database terminology Instead, you’ll get a message like: FETCH 10000 in “SQL_CUR03ART31” Keep in mind that doing so will cause ALL rows to be delivered to Tableau in one “big dump truck of data”. Database theory If you do something silly which returns 3 billion rows, don’t be surprised if you use up all the RAM on your machine. Database 1 to 1 relationship That’s why we use cursors in the first place. Database testing You also generally won’t want to try an extract from Redshift with cursors turned off for the same reason. Here is a basic customization which will turn cursors off (UseDelcareFetch=0): #1: The customization above can be dropped into a text file with a .TDC extension and deposited into your Documents\My Tableau Repository\Datasources (Desktop) or Program Files\Tableau\Tableau Server\\bin (Server) folder. #2: The customization can also be added directly to the XML of your data source. Database graph If you open your workbook and/or data source with a text editor, you might see something like this: I’ve also found I can simplify the named connection and simply use the odbc-connect-string by itself – but I don’t know if this is “officially supported”: I prefer the “inline data source” technique by far. Database naming conventions Using a .TDC file is too global for my taste. Database entity In fact, if you deploy a TDC for a vendor/driver to your Tableau Server, then ALL of the workbooks you deploy which use the same vendor/driver MUST use that TDC. Database developer If someone tries to publish or execute a “non-TDC-ed” workbook, you can expect to see an error message like this: Keychain authentication does not work because either the required TDC file is missing from Tableau Desktop, or the TDC file on Tableau Desktop differs from the TDC file on Tableau Server Logshark is the bee’s knees when it comes to collecting Redshift data. Data recovery plan It’ll parse your Tableau Server (or Desktop) logs into handy tables in a PostgreSQL database, and then you can point Tableau at Postgres. • Run tabadmin cleanup –restart to clear my logs (that’s a double dash in front of restart, but wordpress keeps turning it into a single. Data recovery kansas city grrr) • Execute Redshift-connected vizzes (at least twice each!) on Tableau Server using the :refresh parameter (quite often I’ll use TabJolt to do this in an automated fashion) Step 1: The smaller your logs are, the faster Logshark will churn through them. N k database I therefore always get rid of “old stuff” before I start testing. Data recovery 2016 You may not have the ability to restart your server (pesky users!) in order to delete old logs – but if you can, do it. Step 2: Both Tableau Desktop and Tableau Server WANT to cache on your behalf – and this is good. 510 k database fda However, when I test Redshift, I don’t want Tableau’s cache preventing queries from getting executed against the database. Database programmer So, I always append ?:refresh=yes to the URL of the viz I’m going to render. Data recovery osx If I use TabJolt, I use this parameter on each and every viz in my vizpool.csv file, as well. Database integrity You want to run each viz twice to make sure each QUERY gets fired at least twice – the first execution can be relatively slower due to query plan generation. Step 4 is the fun bit. Database backup You will use a subset of Logshark’s functionality to parse your logs. Hollywood u database In the case of parsing query executions, most of the default work that Logshark will do for us is wasted. Data recovery ipad Therefore, we tell it to only use two “plugins”. Database vs server The VizqlServer plugin normally gets run, but VizqlServerPerformance is special – it generates additional tables in Postgres that most mere mortals don’t care about. Once you do so, you can build a dashboard very, very quickly. Database is in transition Here’s one that tracked all query activity on my server over a few hour period: The vizzes I normally use aren’t this high level, though. Data recovery ios I tend to look RIGHT at the queries being executed. Database data types Below I can see the databases which were leveraged, which dashboard executed which worksheets, and which worksheets executed which queries: Once you have started collecting this info, you can get pretty fancy. Data recovery johannesburg During hardcore testing periods I might run 30 different “tests” (which means 30 different logs and 30 different Logshark runs). Iphone 5 data recovery software I’ll then do some basic ETL and drop ALL my results into a single database (adding a new column to the database so I can “label” each test). Do that, and you can create bump charts which show the average query time improvement (or abject failure) of each of your tuning efforts (The “label” I added is on the x-axis): In the viz above, I have 5 fairly similar copies of the same database running in Redshift. Database operations I’m making small changes to each database and then seeing how things go. Database index Look at the 3rd query. Database crud You can very clearly see that whatever I’ve done in database design #3 (light blue) is GREAT for the query in question. Drupal 8 database I can also see that database design #2 is a dog – results always seem to be pretty bad for queries #1 and #2. By the way, this whole approach is NOT perfect – far from it, actually. Data recovery disk The Protocol ID that Tableau generates when it creates a connection to a database is not unique. Database 3 tier architecture The IDs get re-used after a while – this means that if you run a log over 2-3 days of data, you’re going to get duplicate protocol IDs showing up, and your JOINS will get messed up. Data recovery orlando I use this technique to grab an hour or two of logsonly – going this route is fairly safe and generally error-free. As I mentioned earlier, I want Redshift to be fast so that Tableau is fast. Database cardinality That’s why focusing on Redshift alone is not good enough. Database unit testing To monitor the perceived performance my users can expect, I steal the “Stats for Load Times” viz right from Tableau Server. I data recovery software free download You can grab the viz using this technique. Each one of those little circles in the What Are the Exact Load times for Views worksheet includes the render time of the viz, as well as the Vizql Session ID. This is really im
portant because that VizQL Session ID is ALSO associated with the executions of queries in the database that Logshark builds for us. O review database You now have a really easy way to tie back query execution of the 5-6 queries that might get fired for a Dashboard to the actual “experience” your user gets: Is the dashboard fast? Is it slow? etc. Tying query performance (as measured by Logshark) back to “user experience” (as captured by “What are Exact Load times for Views”) is the holy grail. Database in recovery I typically View Data on the workheet above and then export to CSV. Data recovery wizard professional After doing so, I can join it directly back against my original PostgreSQL data source using a Cross Database Join (hooray!). Data recovery open source I can also use the Union feature to pile one CSV on top of another when I’m doing multiple test runs. The Dashboard, Test Name, and Database Name information comes from Logshark. Gif database I marry it with Dashboard execution time which comes from the CSV file I exported.