nanoSQL 2 Scylla DB Adapter
Allows you to run Scylla DB / Cassandra with nanoSQL 2
npm i @nano-sql/adapter-scylla --save
Scylla class accepts up to three arguments in it's constructor.
Scylla Connect Options (Required)
The first object is the client connect options, passed into the underlying cassandra driver. It's fully documented here.
Redis Database Connect Options (Optional)
Redis is needed to store the table indexes, if you pass nothing here the adapter will attempt to connect to a Redis database running on the default port on localhost. You can optionally pass in a configuration object to adjust things like the port and ip address the client will attempt to connect to.
All of the configuration options are documented here.
Why do I need Redis? I thought this was a ScyllaDB adapter! The realities of Scylla's design is that simple data models with range queries like nanoSQL allow aren't possible without sacrificing the reason you're using Scylla. The Redis indexes allow us to abstract the rabbit hole that is Scylla Data Modeling from you with minimal performance penalty. The indexes will work up to 4 billion records per table/secondary index and Redis can easily be configured to be highly available as well.
Scylla Query Filters (Optional)
Lets you adjust queries before they're sent to the database. Each property is a function that gets the query string as it's argument and should return a query string to be sent to the database.
Here are the possible queries you can modify, all properties are optional.
|createKeySpace||Create keyspace query.|
|createTable||Create table query.|
|useKeySpace||Use keyspace query.|
|dropTable||Drop table query.|
|selectRow||Select one row query.|
|upsertRow||Updating row query.|
|deleteRow||Remove row query.|
|createIndex||Create index query.|
|dropIndex||Drop index query.|
|addIndexValue||Adding a row value to an index query.|
|deleteIndexValue||Removing a row value from an index.|
|readIndexValue||Read a row id from an index.|
Auto increment integer primary keys will technically work for small tables, but don't do it. Use
UUIDs as your primary keys, this will also help guarantee good distribution of data across your cluster.
Avoid queries that will lead to a full table scan or you'll have a bad time.
Copyright (c) 2019 Scott Lott
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- Dependency and documentation updates.
- Added gitter link
[2.0.2] & [2.0.3]
- Performance improvements
- Readme fixes
- Initial release