relational-database

I've been looking for a solution to this, there's plenty of similar questions but none have any proper answers that helped me solve the problem. First up, my questions/problem: I want to sum and count certain columns in a multiple join query Is it not possible with multiple joins? Do I have to nest SELECT queries? Here's a SQL dump of my database with sample data: http://pastie.org/private/vq7qkfer5mwyraudb5dh0a This is the query I thought would do the trick: SELECT firstname, lastname, sum(goal.goal), sum(assist.assist), sum(gw.gw), sum(win.win), count(played.idplayer) FROM player LEFT JOIN

What are the options to index large data from Oracle DB to elastic search cluster? Requirement is to index 300Million records one time into multiple indexes and also incremental updates having around approximate 1 Million changes every day. I have tried JDBC plugin for elasticsearch river/feeder , both seems to be running inside or require locally running elastic search instance. Please let me know if there is any better option for running elastic search indexer as a standalone job (probably java based). Any suggestions will be very helpful. Thanks. We use ES as a reporting db and when new

i have a model Project and i am getting the attributes of that with the following instr attr = getattr(project, 'id', None) project is the instance, id is the field and None is the default return type. my question is what if i want to get the F.K keys with this? Get customer name project.customer.name How to get customer name with the above condition? Already Tried if callable(attr): context[node][field] = '%s' % attr() Current Code context = {'project': {}} fields = ('id', 'name', 'category', 'created_by', customer) for field in fields: attr = getattr(project, field, None) if callable(attr):