Cloud9QL is an optional SQL-like syntax to transform data in powerful ways when needed.
Transform, clean and post-process data.
Complement existing API's/query syntax of datastores.
For example, if your data is in MongoDB, Cassandra or any other datasource that we support, Cloud9QL can be used as a post processor to the native query syntax.
Generate alternate views from the same data within Knowi.
Query file based data or datastores with no/limited query support.
Keyword 'select' is optional.
Select specific fields:
select Sent, Date
select Sent as Sent Messages, Date
select * where opened > 100000 select * where campaign_name like artists select * where Message Type = Transactional and sent > 200000
Supported Operators: >, >=, <, <=, !=, like, not like
Logical Operators: and, or
select * where opened > 100000 order by opened desc
Supported order types: asc, desc
select * where opened > 100000 order by opened desc limit 1
select distinct *
select distinct customer
Select everything, then add a function:
select *, sent/100000 as sent rate
Use the interactive widget below to try Cloud9QL on demo data (or paste your own data):