pyla 0.1.0b0

为什么是派拉？

假设你有一些你想安排的工作，每个工作都有 与之关联的属性。

frompylaimportentriesfrompylaimportfieldsclassJob(entries.Entry):id=fields.BaseField(primary=True)type=fields.BaseField(index=True)assigned_to=fields.BaseField(index=True)info=fields.BaseField(index=False)j=Job(id=1,type='create',assigned_to='dush',info='testing')j.save()

在对该特定条目调用save时，将对以下内容进行排序 redis中提供的集合

job
job:type:create
job:assigned_to:dush

那么你就拥有了以下出色的过滤能力：

# Get all the jobsJob.objects.all()# Get jobs with type createJob.objects.filter(type='create')# Get jobs with either create or delete typeJob.objects.filter(type=['create','delete'])# Get jobs which are assigened to dushJob.objects.filter(assigned_to='dush')# Get jobs which are assigened to dush or spamJob.objects.filter(assigned_to=['dush','spam'])# Get jobs which are assigened to dush and are of type createJob.objects.filter(assigned_to='dush',type='create')# Get jobs which are assigened to dush and are of type create or deleteJob.objects.filter(assigned_to='dush',type=['create','delete'])# Get jobs which are assigened to dush or spam and are of type create or deleteJob.objects.filter(assigned_to=['dush','spam'],type=['create','delete'])

可以对设置为索引的字段使用任意数量的筛选器。 显然，索引越多，写得越慢。