Contents
The Couchbase Analytics Service uses the SQL++ query language. SQL++ is an modern query language designed to work with semi-structured data and the JSON data model. SQL++ is backwards-compatible with SQL.
The Coucbase Analytics Service is currently in developer preview. As such, there are occasional breaking changes between releases. This post serves to document those changes.
6.0
Data Definition Language
- Bucket association is now automatic
Previous versions required explicit association between Analytics buckets and Couchbase Server buckets. For example,
CREATE BUCKET ha WITH {"name":"health"}. Analytics buckets now automatically mirror Server buckets, e.g. in the previous example other Analytics DDL commands can refer to a buckethealthwithout any extra configuration. - Dataset definitions no longer require the
SHADOWkeywordPreview releases before version 5.5 required the
SHADOWkeyword. It is optional in v5.5. It is an error to include it in v6.0. The syntax for creating datasets is thereforeCREATE DATASET ((dataverse_name.)? dataset_name)? ON bucket_name (WHERE where_exp)?. CONNECT/DISCONNECT BUCKEThave been replaced byCONNECT/DISCONNECT LINKThe connect and disconnect commands activate/deactivate dataset processing of data from Server buckets. The new full syntax is
CONNECT LINK (dataverse_name.)? Local (, (dataverse_name.)? Local)*. This will connect all datasets in a dataverse.
Postscript
Couchbase is open source and free to try out.
Get started with sample code, example queries, tutorials, and more.
Find more resources on our developer portal.
Follow us on Twitter @CouchbaseDev.
You can post questions on our forums.
We actively participate on Stack Overflow.
