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COMPACT STORAGE seems to be really the issue why I can not see my table
using pycassa. Unfortunately COMPACT STORAGE does not seem to support
collection types *sigh*.
- -aj
aaron morton wrote:
>> I know work is in progress to fix this...
> AFAIK CF's
I'm working on a C++ driver for the new binary protocol, and have one or
two items of feedback/questions regarding the spec.
1. There are column types that correspond to types that are not defined by
the spec such as Boolean, UUID, Timestamp, Decimal, Double, Float etc..
Will these types always a
I have a C++ driver that is nearly complete for the new binary protocol,
and I plan on creating wrappers for python and ruby. Was going to announce
next week hopefully. It needs some more unit tests and docs. It also
currently lacks connection pooling and retry.
https://github.com/mstump/libcql
This is perhaps my issue :-)
Thanks for the pointer with COMPACT STORAGE.
Andreas
aaron morton wrote:
>> I know work is in progress to fix this...
> AFAIK CF's created by CQL 3 using COMPACT STORAGE are visible to
> thrift. Those created without it are not, and will not, be visible to
> thrift.
> I know work is in progress to fix this...
AFAIK CF's created by CQL 3 using COMPACT STORAGE are visible to thrift. Those
created without it are not, and will not, be visible to thrift.
Cheers
-
Aaron Morton
Freelance Cassandra Developer
New Zealand
@aaronmorton
http://www.the
> Are there other performance considerations that I need to keep in mind?
Thats about it.
Sylvain has written a script or some such to reverse compaction. It was
mentioned sometime in the last month I think. Sylvain ?
> after we are complete the migration should be fairly small (about 500,000
I know one outstanding issue is that CQL3 created column families won't be
listed as CQL3 column families aren't exposed by the old thrift calls.
I know work is in progress to fix this...
On Jan 6, 2013, at 8:01 PM, "aaron morton"
mailto:aa...@thelastpickle.com>> wrote:
I'm not aware of any is
I'm not aware of any issues with using the thrift API with
http://pycassa.github.com/pycassa/ and 1.2
Cheers
-
Aaron Morton
Freelance Cassandra Developer
New Zealand
@aaronmorton
http://www.thelastpickle.com
On 7/01/2013, at 8:21 AM, Adam Venturella wrote:
> I have been using
> - basically the task is to create a distributed file system with only few
> allowed operations
Background http://www.datastax.com/dev/blog/cassandra-file-system-design
> - it should handle split brain conditions well (two or three DCs, it's
> possible to get user requests while the intra-DC co
Curious...
What does nodetool ring say in this state?
I assume each node only lists itself in the ring?
On Jan 6, 2013, at 2:35 PM, "Pierre Chalamet"
mailto:pie...@chalamet.net>> wrote:
Hello,
Using a 2 nodes fresh cluster (127.0.0.1 & 127.0.0.2) running latest 1.2, I’m
querying system.peers
Thanks Aaron, I appreciate it.
It is my understanding, major compactions are not recommended because it
will essentially create one massive SSTable that will not compact with
any new SSTables for some time. I can see how this might be a
performance concern in the general case, because any rea
Hello,
Using a 2 nodes fresh cluster (127.0.0.1 & 127.0.0.2) running latest 1.2,
I'm querying system.peers to get the nodes of the cluster and their
respective token. But it seems there is a problem after either node restart.
When both node starts up, querying system.peers seems ok:
127
> When these rows are deleted, tombstones will be created and stored in more
> recent sstables. Upon compaction of sstables, and after gc_grace_period, I
> presume cassandra will have removed all traces of that row from disk.
Yes.
When using Size Tiered compaction (the default) tombstones are pu
I have been using this successfully so far:
http://pypi.python.org/pypi/cql
On Sun, Jan 6, 2013 at 11:18 AM, Andreas Jung wrote:
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> Are there any up-to-date Python bindings available that
> work with Cassandra 1.2?
>
> - -aj
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Are there any up-to-date Python bindings available that
work with Cassandra 1.2?
- -aj
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Hi,
I'm new to Cassandra, so I wonder what would be the most efficient(*)
schema for specific operations on the following dataset:
- basically the task is to create a distributed file system with only
few allowed operations
- it should handle split brain conditions well (two or three DCs, it's
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