Athena uses a distributed SQL engine, Trino, to run queries on objects stored in S3, represented as Hive tables. After setting up a table, you can use Athena to query your S3 objects. You can process multiple S3 objects in a single query or even use join operations and window func...
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Query Monitor– find your slowest loading plugins in the “queries by components” tab. Can also be used to find slow queries, scripts, and other things slowing down your website. Just make sure you delete Query Monitor when you’re done since the plugin itself can also increase CPU. Chrom...
I find these trending graphs very useful and they are available in Query Analytics as we continuously digest and analyze queries. We can see that only for the last month amount of rows this query examines increased from ~130K to ~180K. So, the obvious question is how to optimize this que...
operations, AI can also be used to improve decision-making by analyzing data and providing insights that can help businesses make informed choices. For example, AI can analyze trends in customer behavior to help businesses optimize their marketing strategies or forecast demand to improve inventory ...
WP Hive– free Chrome Extension that lets you browse the WordPress plugin repository and see whether a plugin impacts memory usage (as well as PageSpeed Insights scores). WP-Optimize– shows you which plugins (or plugin modules) add the most database overhead. You can also remove tables left...
Hi Team, I want to optimize the Presto, I have to perform optimization at run time means without restarting the Presto Server so for this reason I am using Presto Session Properties. I can set session properties when I am firing the quer...
On top of that, it’s safe to say that SQL has also been embraced by newer technologies, such as Hive, a SQL-like query language interface to query and manage large datasets, or Spark SQL, which you can use to execute SQL queries. Once again, the SQL that you find there will differ...
We initially chose MySQL as our data warehouse because it’s a system our engineers know how to optimize well. However, because MySQL is row-based, it’s not built for aggregation queries with complex joins over massive datasets. When we hit performance problems, we adjusted indexes; when we...
It uses LLVM to optimize the local code in compilation query plans. More powerful data query and analysis addresses service pain points and improves user experience. Application is out of the box and takes just a few minutes so you no longer need to look for a warehouse to buy. Simpler ...