Generate analytics SQL tables from a datasource + transformation.
Hydros creates and regularly updates a SQL table given a datasource and a transform function. Typically this is used to keep an analytics SQL database up-to-date from production databases.
For example, you might need to JOIN across user accounts in MongoDB and usage counters in Redis. Hydros makes it easy to keep a SQL table synced with each of those production databases, and then run the JOIN query without hitting production resources.
A hydros implementation of an "Active Users" table might work like this:
listuser IDs from Mongo
geteach user's activity by pulling counters from Redis
A hydros table pulls data from a source via the
get methods, which you implement. The
list method generates a complete list of ids. Then
get generates all the rows associated with each id.
Hydros is an abstract module. It handles table creation and syncing. You just need to specify the name, columns,
var Hydros = ;var APIUsage =;connection// every two hoursstart;
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