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From Jonathan Ellis <jbel...@gmail.com>
Subject Re: Newbe´s question
Date Mon, 24 Aug 2009 17:41:38 GMT
lazyboy works vs an earlier version of trunk, so it's already
incompatible with 0.3, but not yet compatible w/ latest 0.4 :)

On Mon, Aug 24, 2009 at 12:28 PM, Bruno Couto<bcouto@gmail.com> wrote:
> Jonathan,
>
>
> First, thanks for answering so fast.
> I´m using version 0.3-final of Cassandra, then I believe the api
> version 0.4 is not the problem, am I correct?
> I'll look for the null problem.
>
>
> Bruno Couto
>
>
> On Mon, Aug 24, 2009 at 11:50 AM, Jonathan Ellis<jbellis@gmail.com> wrote:
>> There's two things going on here, I think.
>>
>> One is that you're passing a null where there shouldn't be one.  This
>> is a thrift bug and will be addressed in the next beta.
>>
>> The other is that IIRC lazyboy needs to be updated to work with the
>> latest 0.4 api.
>>
>> -Jonathan
>>
>> On Mon, Aug 24, 2009 at 9:09 AM, Bruno Couto<bcouto@gmail.com> wrote:
>>> Hi Guys,
>>>
>>> my name is Bruno and I'm from Brazil, first, sorry for my bad english.
>>> I'm in my first steps with cassandra, and I´m trying to use Lazyboy
>>> (python wrapper).
>>> But when I run the layzyboy columnfamily.py example, I get the
>>> following error messages.
>>> Someone with more experience could help me?
>>>
>>> Thanks,
>>>
>>> Bruno Couto.
>>>
>>>
>>> ----
>>>
>>> Cassandra Error Message:
>>>
>>> DEBUG - batch_insert
>>> ERROR - Internal error processing batch_insert
>>> java.lang.NullPointerException
>>>        at org.apache.cassandra.db.RowMutation.getRowMutation(RowMutation.java:284)
>>>        at org.apache.cassandra.service.CassandraServer.batch_insert(CassandraServer.java:318)
>>>        at org.apache.cassandra.service.Cassandra$Processor$batch_insert.process(Cassandra.java:968)
>>>        at org.apache.cassandra.service.Cassandra$Processor.process(Cassandra.java:807)
>>>        at org.apache.thrift.server.TThreadPoolServer$WorkerProcess.run(TThreadPoolServer.java:252)
>>>        at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:886)
>>>        at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:908)
>>>        at java.lang.Thread.run(Thread.java:619)
>>> DEBUG - Disseminating load info ...
>>>
>>> ----
>>>
>>> Python Error Message:
>>>
>>> localhost ~ # python columnfamily.py
>>> {'table': 'UserData', 'superkey': None, 'key':
>>> '3a63b82a947d4ee1a8cbee45944b5dcb', 'family': 'Users', 'supercol':
>>> None}
>>> {'username': 'ieure', 'email': 'ian@digg.com'}
>>> True
>>> Traceback (most recent call last):
>>>  File "columnfamily.py", line 65, in <module>
>>>    u.save()           # -> {'username': 'ieure', 'email': 'ian@digg.com'}
>>>  File "/root/columnfamily.py", line 119, in save
>>>
>>>  File "build/bdist.linux-i686/egg/lazyboy/connection.py", line 106, in func
>>> lazyboy.exceptions.ErrorThriftMessage: Internal error processing batch_insert
>>>
>>> ----
>>>
>>> ColumnFamily.py
>>>
>>> # -*- coding: utf-8 -*-
>>> #
>>> # Lazyboy examples
>>> #
>>> # © 2009 Digg, Inc. All rights reserved.
>>> # Author: Ian Eure <ian@digg.com>
>>> #
>>> # This example assumes the following schema:
>>> #
>>> # <Tables>
>>> #     <Table Name="UserData">
>>> #         <ColumnFamily ColumnSort="Name" Name="Users"/>
>>> #     </Table>
>>> # </Tables>
>>> #
>>>
>>>
>>> from lazyboy import *
>>>
>>>
>>> # Define your cluster(s)
>>> connection.add_pool('UserData', ['localhost:9160'])
>>>
>>>
>>> # Subclass ColumnFamily to create an object of the correct type.
>>> class User(columnfamily.ColumnFamily):
>>>    """A class representing a user in Cassandra."""
>>>
>>>    # _key is the key template. It's values are given to
>>>    # PrimaryKey.__init__ as keyword arguments any time a PK is
>>>    # instantiated for this object.
>>>    _key = {'table': 'UserData',        # The table to store in
>>>            'family': 'Users'}          # The ColumnFamily name to
store on
>>>
>>>    # Anything in here _must_ be set before the object is saved
>>>    _required = ('username',)
>>>
>>>
>>> # Create an empty object
>>> u = User()
>>>
>>> # A PrimaryKey is generated for you:
>>> print u.pk
>>> # -> {'table': 'UserData', 'superkey': None,
>>> #     'key': 'da6c8e19174f40cfa6d0b65a08eef62f',
>>> #     'family': 'Users', 'supercol': None}
>>>
>>> data = {'username': 'ieure', 'email': 'ian@digg.com'}
>>>
>>> # The object is a dict. All these are equivalent.
>>> u.update(data)
>>> u.update(data.items())
>>> u.update(**data)
>>> for k in data:
>>>    u[k] = data[k]
>>>
>>> # Arguments to __init__ are passed to update()
>>> u = User(data)
>>> print u            # -> {'username': 'ieure', 'email': 'ian@digg.com'}
>>>
>>> # You can see if it's been modified.
>>> print u.is_modified()           # -> True
>>>
>>> # Save to Cassandra
>>> u.save()           # -> {'username': 'ieure', 'email': 'ian@digg.com'}
>>>
>>> print u.is_modified()           # -> False
>>>
>>> # Load it in a new instance.
>>> u_ = User().load(u.pk.key)
>>> print u_           # -> {'username': 'ieure', 'email': 'ian@digg.com'}
>>>
>>> print u.is_modified()           # -> False
>>> del u['username']
>>> print u.valid()                 # -> False
>>> print u.missing()               # -> ('username',)
>>> try:
>>>    u.save()        # -> ('Missing required field(s):', ('username',))
>>> except Exception, e:
>>>    print e
>>>
>>> # Discard modifications
>>> u.revert()
>>> print u.is_modified()           # -> False
>>> print u.valid()                 # -> True
>>>
>>
>

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