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General Tech Technology & Software 2 years ago
Posted on 16 Aug 2022, this text provides information on Technology & Software related to General Tech. Please note that while accuracy is prioritized, the data presented might not be entirely correct or up-to-date. This information is offered for general knowledge and informational purposes only, and should not be considered as a substitute for professional advice.
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I've got a problem with performance of my reporting database (tables have millions of records, 50+), when I want to calculate distinct on column that indicates a visitor uniqueness, let's say some hashkey.
For example: I have these columns: hashkey, name, surname, visit_datetime, site, gender, etc...
I need to get distinct in time span of 1 year, less than in 5 sec:
SELECT COUNT(DISTINCT hashkey) FROM table WHERE visit_datetime BETWEEN 'YYYY-MM-DD' AND 'YYYY-MM-DD'
This query will be fast for short time ranges, but if it be bigger than one month, than it can takes more than 30s.
Is there a better technology to calculate something like this than relational databases?
I'm wondering what google analytics use to do theirs unique visitors calculating on the fly.
For reporting and analytics, the type of thing you're describing, these sorts of statistics tend to be pulled out, aggregated, and stored in a data warehouse or something. They are stored in a fashion meant for performance reasons in lieu of nice relational storage techniques">techniques optimized for OLTP (online transaction processing). This pre-aggregated technique is called OLAP (online analytical processing).
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