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Join Performance for UUID, STRING, and INTEGER with CockroachDB


To continue on the UUID performance thread, I was recently asked by a customer how joins perform with various data types. I had not run a specific test, but suspected perform would be driven mostly by the size of the data types.

I wanted to verify my assumptions with real test data that shows the core performance of joins with CockroachDB.

the schema, data, and queries

For this test, two tables were created. The first table had one million rows and the second table had 200k matching primary keys for UUID, STRING, and INTEGER data types.


create table u1 (id uuid primary key);
create table u2 (id uuid primary key);

create table s1 (id string primary key);
create table s2 (id string primary key);

create table i1 (id integer primary key);
create table i2 (id integer primary key);

data load:

Ingest format performance with UUID using CockroachDB

Recently, I have been working with customers that have been concerned about the performance of various UUID formats. Other products have various performance characteristics for inserting, generating and presenting UUID data.

For this blog, I ran a quick series of tests using jmeter insert data along with some simple SQL tests to generate UUID values. Hopefully, this will be helpful to better your understanding of UUID with CockroachDB.

UUID formats

Cockroach DB has four different ways data can be formatted for use with the UUID data type.

String format

Curly Brace format

Amazon Aurora Serverless (PostgreSQL compatibility)

By Franck Pachot

I’ve written a blog post about serverless databases and here is an example of Amazon RDS Aurora PostgreSQL in serverless mode:

Amazon or AWS services?

By Franck Pachot

When I’m writing about a product I like to be precise about the name, the upper and lower case, and even more: do you know that was taking special care of writing Oracle 12cR2 before then non-italic came with 18c? And that’s also the reason I’m not writing a lot about VMware as it takes me 5 minutes to put the uppercase right </p />

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What is Object Storage?

By Franck Pachot

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Amazon DynamoDB: a r(el)ational Glossary

By Franck Pachot

There are many NoSQL databases. And, because SQL is an ISO standard, “No SQL” also means “No Standard”. Many have a similar API and similar objects, but with completely different names. Today, NoSQL databases are used as an additional datastore for some well-defined use cases for which a hashed key-value store fits better than a relational table. And it quickly became “Not Only SQL” as it is complementary to RDBMS databases using SQL. But at the origin, the idea was to replace the RDBMS databases, refusing the SQL API, and then inventing a “No SQL” data store. When you want to replace something rather than proposing something new, you often adopt the same language to make it look similar. And this why, in my opinion we find some relational database terms like “Table” and “Index”. But they have a different meaning. Here is a dictionary where I try to explain the DynamoDB artifacts and differentiate from their Relational and SQL meaning.

Introducing packer: building immutable infrastructure in the cloud

After having spent a bit of time with Packer to create Vagrant base boxes it was time to focus on the cloud. I have referenced Packer multiple times in my cloud talks as a popular way to create immutable infrastructure and/or custom images, and I wanted to share how you could potentially make use of the technology

Be aware that this is a post about cloud technology. If you are following along, be aware that you will incur cost.

Data virtualization on SQL Server with Redgate SQL Clone

By Franck Pachot

In the previous blog post I’ve installed SQL Server on the Oracle Cloud. My goal was actually to have a look at Redgate SQL Clone, a product that automates thin cloning. The SQL Server from the Oracle marketplace is ok for SQL Clone prerequisites. There’s a little difference in .NET Framework version (I have 4.6 where 4.7.2 or later is required but that’s fine – if it was not an update would be easy anyway).

SQL Server on Oracle Cloud

By Franck Pachot

You can create a VM with SQL Server running in the Oracle Cloud. This is easy with a few clicks on the marketplace: