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This is much faster on my local machine but the report below shows how well my database optimizations are working on AWS hardware.
Database Instance Class: db.t2.micro Database Engine: Postgres 9.6.2
The test is not a table with a single colum. There are 3 integer columns and 10 string columns. I can't give away too much for information for security purposes.
Binary UUIDs are much more efficient in space and lookups compared to VARCHAR or CHAR UUIDs. To better exmplain how they work I have a few examples of raw sql and how that translates in a programming language like Ruby using the UUID tools module. All examples will reference the following database table and schema.
Table name: users id :uuid(16) first_name :string(255) last_name :string(255)
I hereby claim:
To claim this, I am signing this object: