Multiregion is possible in Google Cloud using Cloud Spanner, which allows you to replicate the database not only in multiple zones but also in multiple regions as defined in the instance configuration. The replicas allow you to read data with low latency from multiple locations that are close to or within the region in the configuration. - Source: dev.to / 10 months ago

Basically everything I touch is in-house, but a majority of it is available publicly. For instance: https://cloud.google.com/spanner/. Source: over 1 year ago

An application that needs to handle a lot of data can use a distributed database like Cloud Spanner. Unlimited scale and you don't have to split your database into multiple tables. Source: over 1 year ago

Look at the architecture and performance of Google's Cloud Spanner, a CP system with 99.999% availability... https://cloud.google.com/spanner. Source: over 1 year ago

In my opinion, Google has built some fantastic database services like Bigtable and Spanner, which literally changed the industry for good, and I am eager to see how they will build upon this new service. With AlloyDB's disaggregated architecture, the dystopian world where I only pay for SQL databases per query and the stored data on GCP seems closer than ever. - Source: dev.to / over 1 year ago

> Make diff work on more than just SQLite. Another way of doing this that I've been wanting to do for a while is to implement the DIFF operator in Apache Calcite[0]. Using Calcite, DIFF could be implemented as rewrite rules to generate the appropriate SQL to be directly executed against the database or the DIFF operator can be implemented outside of the database (which the original paper shows is more efficient).... - Source: Hacker News / 10 months ago

Use a SQL Parser like sqlglot or Apache Calcite to compile user's query into an AST. Source: about 1 year ago

One parser I think deserves a mention is the one from Apache Calcite[0]. Calcite does more than parsing, there are a number of users who pick up Calcite just for the parser. While the default parser attempts to adhere strictly to the SQL standard, of interest is also the Babel parser, which aims to be as permissive as possible in accepting different dialects of SQL. Disclaimer: I am on the PMC of Apache Calcite,... - Source: Hacker News / almost 2 years ago

Apache Calcite can do this, though it's not a beginner-friendly task: https://calcite.apache.org/. - Source: Hacker News / almost 2 years ago

You should look at Apache Calcite[0]. Like OctoSQL, you can join data from different data sources. It's also relatively easy to add your own data sources ("adapters" in Calcite lingo) and rules to efficiently query those sources. Calcite already has adapters that do things like read from HTML tables over HTTP, files on your file system, running processes, etc. This is in addition to connecting to a bunch of... - Source: Hacker News / almost 2 years ago