Question

I m 试图在pycassa中安装一些column_validators,但遇到一些超级栏 set的麻烦: 我似乎无法为超级栏中所载的一栏设置一个有效器。我在试图做这样的事情。

cf.column_validators[ supercolumn_name ][ column_name ] = types.FloatType()

由于第二名词典尚未开始,试图将其归入类似内容,那就不可行。

cf.column_validators[ supercolumn_name ] = {}

doesn t work either... So any example on how to handle this are appreciated, as the official pycassa doc doesn t show any more detailled information on this. Furthermore these validators don t seem to be persistent, so is there any possibility on setting them persistently?

EDIT:在审视一下我发现的粉碎材料后,对于有效器来说,你不必具体说明超级栏号,因此该栏中载有。

cf.column_validators[ column_name ] = types.FloatType()

the! 能否让有效人员保持某种活力,问题依然存在?

Answer 1

You probably don t want to be modifying column_validators directly. Those are set automatically based on the column_metadata properties of the column family. You can use the alter_column command in pycassa to modify the column family schema in Cassandra. Then column_validators will be set correctly permanently.

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