Re: SimpleAuthenticator / SimpleAuthorization missing
See: https://issues.apache.org/jira/browse/CASSANDRA-2922 On Thu, Oct 20, 2011 at 4:08 AM, Pierre Chalamet pie...@chalamet.netwrote: Hello, SimpleAuthenticator SimpleAuthorization just disappear in release 1.0.0... Will this stay like this or is it a release bug ? Thanks, - Pierre
Re: ebs or ephemeral
Agree, EBS systems are not so good for cassandra systems and during previous conversations in this mail list, people tend to use ephemeral. 從我的 BlackBerry® 無線裝置 -Original Message- From: Sasha Dolgy sdo...@gmail.com Date: Mon, 10 Oct 2011 10:03:26 To: user@cassandra.apache.org Reply-To: user@cassandra.apache.org Subject: Re: ebs or ephemeral just catching the tail end of this discussion. aaron, in your previous email, you said And an explanation of why we normally avoid ephemeral. shouldn't this be, avoiding EBS? EBS was a nightmare for us in terms of performance. On Mon, Oct 10, 2011 at 9:23 AM, aaron morton aa...@thelastpickle.comwrote: 6 nodes and RF3 will mean you can handle between 1 and 2 failed nodes. see http://thelastpickle.com/2011/06/13/Down-For-Me/ Cheers - Aaron Morton Freelance Cassandra Developer @aaronmorton http://www.thelastpickle.com On 7/10/2011, at 9:37 PM, Madalina Matei wrote: Hi Aaron, For a 6 nodes cluster, what RF can we use in order to support 2 failed nodes? From the article that you sent i understood avoid EMS and use ephemeral. am i missing anything? Thank you so much for your help, Madaina On Fri, Oct 7, 2011 at 9:15 AM, aaron morton aa...@thelastpickle.comwrote: Data Stax have pre build AMI's here http://www.datastax.com/dev/blog/setting-up-a-cassandra-cluster-with-the-datastax-ami And an explanation of why we normally avoid ephemeral. Also, I would go with 6 nodes. You will then be able to handle up to 2 failed nodes. Hope that helps.
Re: ebs or ephemeral
Obviously ephemeral. It has higher IO availability, will not affect your Ethernet IO performance, and it is free (included in instance price) and the redundancy is provided by cassandra itself. 從我的 BlackBerry® 無線裝置 -Original Message- From: Madalina Matei madalinaima...@gmail.com Date: Fri, 7 Oct 2011 09:02:06 To: user@cassandra.apache.org Reply-To: user@cassandra.apache.org Subject: ebs or ephemeral Hi, I'm looking to deploy a 5 nodes cluster in EC2 with RF3 and QUORUM CL. Could you please advice me on EBS vs ephemeral storage ? Cheers, Madalina
Re: Why is mutation stage increasing ??
Well what client are you using? And can you give a hint to your node hardware? 從我的 BlackBerry® 無線裝置 -Original Message- From: Philippe watche...@gmail.com Date: Wed, 5 Oct 2011 10:33:21 To: useruser@cassandra.apache.org Reply-To: user@cassandra.apache.org Subject: Why is mutation stage increasing ?? Hello, I have my 3-node, RF=3 cluster acting strangely. Can someone shed a light as to what is going on ? It was stuck for a couple of hours (all clients TimedOut). nodetool tpstats showed huge increasing MutationStages (in the hundreds of thousands). I restarted one node and it took a while to reply GB of commitlog. I've shutdown all clients that write to the cluster and it's just weird All nodes are still showing huge MutationStages including the new one and it's either increasing or stable. The pending count is stuck at 32. Compactionstats shows no compaction on 2 nodes and dozens of Scrub compactions (all at 100%) on the 3rd one. This is a scrub I did last week when I encountered assertion errors. Netstats shows no streams being exchanged at any node but each on is expecting a few Responses. Any ideas ? Thanks For example (increased to 567062 while I was writing this email) Pool NameActive Pending Completed Blocked All time blocked ReadStage 0 018372664517 0 0 RequestResponseStage 0 010731370183 0 0 MutationStage32565879 295492216 0 0 ReadRepairStage 0 0 23654 0 0 ReplicateOnWriteStage 0 07733659 0 0 GossipStage 0 03502922 0 0 AntiEntropyStage 0 0 1631 0 0 MigrationStage0 0 0 0 0 MemtablePostFlusher 0 0 5716 0 0 StreamStage 0 0 10 0 0 FlushWriter 0 0 5714 0 499 FILEUTILS-DELETE-POOL 0 0773 0 0 MiscStage 0 0 1266 0 0 FlushSorter 0 0 0 0 0 AntiEntropySessions 0 0 18 0 0 InternalResponseStage 0 0 0 0 0 HintedHandoff 0 0 1798 0 0 Mode: Normal Not sending any streams. Not receiving any streams. Pool NameActive Pending Completed Commandsn/a 0 1223769753 Responses n/a 4 1627481305
Re: Cassandra JVM heap size
Someone has just talked about the heap size in this mail list, says that bigger heap size will result into a longer GC phase, that could probably be one of the reason not using larger heap size. But I have really heard of some others using Cassandra with some 60 gigabytes of heap size. 從我的 BlackBerry® 無線裝置 -Original Message- From: Ramesh Natarajan rames...@gmail.com Date: Mon, 3 Oct 2011 21:47:08 To: user@cassandra.apache.org Reply-To: user@cassandra.apache.org Subject: Cassandra JVM heap size I was reading an article @ http://www.acunu.com/products/choosing-cassandra/and it mentions cassandra cannot benefit from more than 8GB allocated to JVM heap. Is this true? Are these cassandra installations with larger heap sizes? We are planning to have a cluster of 6 nodes with each node running with about 100 GB or so RAM. Will this be a problem? thanks Ramesh from http://www.acunu.com/products/choosing-cassandra/ Memory Ceiling Cassandra typically cannot benefit from more than 8GB of RAM allocated to the Java heap, imposing a hard limit on data size. Taking advantage of big servers with lots of memory or many disks is no problem for Acunu. Thereʼs no memory ceiling for Acunu and as a result, no data ceiling either. Need to use larger servers? Go ahead.
Re: release mmap memory through jconsole?
It is meaningless to release such memory. The counting includes the data you reached in the SSTable. Those data locates on your hard drive. So it is not the RAM spaces you have actually used. -Y. --Original Message-- From: Yang To: user@cassandra.apache.org ReplyTo: user@cassandra.apache.org Subject: release mmap memory through jconsole? Sent: Oct 1, 2011 12:40 AM I gave an -Xmx50G to my Cassandra java processs, now top shows its virtual memory address space is 82G, is there a way to release that memory through JMX ? Thanks Yang ?? BlackBerry?0?3 ?o???b??
Re: release mmap memory through jconsole?
Is it? Heard that twitter uses 60G, if I have remembered correctly. --Original Message-- From: Norman Maurer To: user@cassandra.apache.org To: i...@iyyang.com Subject: Re: release mmap memory through jconsole? Sent: Oct 1, 2011 12:55 AM I would also not use such a big heap. I think most people will tell you that 12G -16G is max to use. Bye, Norman 2011/9/30 Yi Yang i...@iyyang.com: It is meaningless to release such memory. The counting includes the data you reached in the SSTable. Those data locates on your hard drive. So it is not the RAM spaces you have actually used. -Y. --Original Message-- From: Yang To: user@cassandra.apache.org ReplyTo: user@cassandra.apache.org Subject: release mmap memory through jconsole? Sent: Oct 1, 2011 12:40 AM I gave an -Xmx50G to my Cassandra java processs, now top shows its virtual memory address space is 82G, is there a way to release that memory through JMX ? Thanks Yang 從我的 BlackBerry(R) 無線裝置 從我的 BlackBerry® 無線裝置
Re: Is LexicalUUID a good option for generating Ids
I don't know if I understand correctly that UUIDs are good unless you have a specific reading pattern. In the latter case you can develop a better compound row key. Yi 從我的 BlackBerry® 無線裝置 -Original Message- From: Ramesh S investt...@gmail.com Date: Thu, 29 Sep 2011 16:26:05 To: user@cassandra.apache.org Reply-To: user@cassandra.apache.org Subject: Re: Is LexicalUUID a good option for generating Ids Thanks Aaron. Appreciate your valuable input/advice. regards, Ramesh On Thu, Sep 29, 2011 at 4:21 PM, aaron morton aa...@thelastpickle.comwrote: UUID will be fine, LexicalUUID should be used for version 2,3,4 and 5 UUID's. TimeUUID for version 1. A - Aaron Morton Freelance Cassandra Developer @aaronmorton http://www.thelastpickle.com On 30/09/2011, at 5:48 AM, Ramesh S wrote: We have to assign Id for each item in our database. Item is linked to geo location and hence would need hundreds of millions of Ids. So is LexicalUUID a good option ? regards, Ramesh
Re: create super column family for
Which version are you using? In my memory 0.8.3 cannot do it correctly but
later versions fixed the bug.
從我的 BlackBerry® 無線裝置
-Original Message-
From: Ramesh S investt...@gmail.com
Date: Thu, 29 Sep 2011 15:23:29
To: user@cassandra.apache.org
Reply-To: user@cassandra.apache.org
Subject: create super column family for
I am trying to create a super column family using Cli command.
But I am not getting it.
The structure is
SCFProductCategory
SuperColumnName#ProductType
RowKey#productCatId
+subProdName
+lenght
+width
I tried a lot many ways but I can't find the right way to get this done.
Something like this give me error - mismatched input 'column' expecting
Identifier
create column family ProductCategory
with column_type = 'Super'
and comparator = UTF8Type
with column family productCatId
WITH comparator = UTF8Type
AND key_validation_class=UTF8Type
AND column_metadata = [
{column_name: subProdName, validation_class: UTF8Type}
{column_name: lenght, validation_class: UTF8Type}
{column_name: width, validation_class: UTF8Type}
];
Appreciate any help
regards
Ramesh
Re: How can I patch a single issue
Thanks Jonathan, and thanks Peter. How do u guys use the mail list? I'm using a mail client and this e-mail didn't group up until i found it today... On Aug 19, 2011, at 12:27 PM, Jonathan Ellis wrote: I think this is what you want: https://github.com/stuhood/cassandra/tree/file-format-and-promotion On Fri, Aug 19, 2011 at 1:28 PM, Peter Schuller peter.schul...@infidyne.com wrote: https://issues.apache.org/jira/browse/CASSANDRA-674 But when I downloaded the patch file I can't find the correct trunk to patch... Check it out from git (or svn) and apply to trunk. I'm not sure whether it still applies cleanly; given the size of the patch I wouldn't be surprised if some rebasing is necessary. You might try a trunk from further back in time (around the time Stu submitted the patch). I'm not quite sure what you're actual problem is though, if it's source code access then the easiest route is probably to check it out from https://github.com/apache/cassandra -- / Peter Schuller (@scode on twitter) -- Jonathan Ellis Project Chair, Apache Cassandra co-founder of DataStax, the source for professional Cassandra support http://www.datastax.com
Re: How can I patch a single issue
@Jonathan: I patched CASSANDRA 2530 on this version, and tested it for our financial related case. It really improved a lot on disk consumption, using only 20% of original space for financing-related data storage. The performance is better than MySQL and also it consumes only 1x more than MySQL, much better than previous versions. On Aug 19, 2011, at 12:27 PM, Jonathan Ellis wrote: I think this is what you want: https://github.com/stuhood/cassandra/tree/file-format-and-promotion On Fri, Aug 19, 2011 at 1:28 PM, Peter Schuller peter.schul...@infidyne.com wrote: https://issues.apache.org/jira/browse/CASSANDRA-674 But when I downloaded the patch file I can't find the correct trunk to patch... Check it out from git (or svn) and apply to trunk. I'm not sure whether it still applies cleanly; given the size of the patch I wouldn't be surprised if some rebasing is necessary. You might try a trunk from further back in time (around the time Stu submitted the patch). I'm not quite sure what you're actual problem is though, if it's source code access then the easiest route is probably to check it out from https://github.com/apache/cassandra -- / Peter Schuller (@scode on twitter) -- Jonathan Ellis Project Chair, Apache Cassandra co-founder of DataStax, the source for professional Cassandra support http://www.datastax.com
How can I patch a single issue
Hi I'm trying to test a single issue: https://issues.apache.org/jira/browse/CASSANDRA-674 But when I downloaded the patch file I can't find the correct trunk to patch... Anyone can help me with it? Thanks Steve
Re: Cassandra for numerical data set
Thanks Aaron. 2) I'm doing batch writes to the database (pulling data from multiple resources and put them together). I wish to know if there's some better methods to improve the writing efficiency since it's just about the same speed as MySQL, when writing sequentially. Seems like the commitlog requires a huge mount of disk IO comparing with my test machine can afford. Have a look at http://www.datastax.com/dev/blog/bulk-loading This is a great tool for me. I'll try on this tool since it will require much lower bandwidth cost and disk IO. 3) In my case, each row is read randomly with the same chance. I have around 0.5M rows in total. Can you provide some practical advices on optimizing the row cache and key cache? I can use up to 8 gig of memory on test machines. If your data set small enough to fit in memory ? . You may also be interested in the row_cache_provider setting for column families, see the CLI help for create column family and the IRowCacheProvider interface. You can replace the caching strategy if you want to. The dataset is about 150 Gig storing as CSV and estimated as 1.3T storing as SSTable. Hence I don't think it can fit into memory.I'll try the caching strategy a little bit but I think it can improve my case a little bit. I'm now looking into some native compression on SSTable, just patched the CASSANDRA-47 and found there is a huge performance penalty in my use case, and I haven't figured out the reason yet. I suppose CASSANDRA-647 will solve it better, however I seek there's a number of tickets working at a similar issue, including CASSANDRA-1608 etc. Is that because cassandra really cost a huge disk space? Well my target is to simply get the 1.3T compressed to 700 Gig so that I can fit it into a single server, while keeping the same level of performance. Best, Steve On Aug 16, 2011, at 2:27 PM, aaron morton wrote: Hope that helps. - Aaron Morton Freelance Cassandra Developer @aaronmorton http://www.thelastpickle.com On 16/08/2011, at 12:44 PM, Yi Yang wrote: Dear all, I wanna report my use case, and have a discussion with you guys. I'm currently working on my second Cassandra project. I got into somehow a unique use case: storing traditional, relational data set into Cassandra datastore, it's a dataset of int and float numbers, no more strings, no more other data and the column names are much longer than the value itself. Besides, row-key is the md-5 hash ver3 UUID of some other data. 1) I did some workaround to make it save some disk space however it still takes approximately 12-15x more disk space than MySQL. I looked into Cassandra SSTable internal, did some optimizing on selecting better data serializer and also hashed the column name into one byte. That made the current database having ~6x overhead on disk space comparing with MySQL, which I think it might be acceptable. I'm currently interested into CASSANDRA-674 and will also test CASSANDRA-47 in the coming days. I'll keep you updated on my testing. But I'm willing to hear your idea on saving disk space. 2) I'm doing batch writes to the database (pulling data from multiple resources and put them together). I wish to know if there's some better methods to improve the writing efficiency since it's just about the same speed as MySQL, when writing sequentially. Seems like the commitlog requires a huge mount of disk IO comparing with my test machine can afford. 3) In my case, each row is read randomly with the same chance. I have around 0.5M rows in total. Can you provide some practical advices on optimizing the row cache and key cache? I can use up to 8 gig of memory on test machines. Thanks for your help. Best, Steve
Re: Cassandra adding 500K + Super Column Family
Sounds like it's a similar case as mine. The files are definitely, extremely big, 10x space overhead should be a good case if you are just putting values into it. I'm currently testing CASSANDRA-674 and hopes the better SSTable can solve the space overhead problem. Please follow my e-mail today and I'll continuously work on it today. If your values are integer and floats, with column name containing ~4 characters, as estimated from my case it will cost you 1~2TB of disk space. Best, Steve On Aug 16, 2011, at 4:20 PM, aaron morton wrote: Are you planning to create 500,000 Super Column Families or 500,000 rows in a single Super Column Family ? The former is a somewhat crazy. Cassandra schemas typically have up to a few tens of Column Families. Each column family involves a certain amount of memory overhead, this is now automatically managed in Cassandra 0.8 (see http://thelastpickle.com/2011/05/04/How-are-Memtables-measured/) if I understand correctly you have 500K entities with 6k columns each. A simple first approach to modelling this would be to use a Standard CF with a row for each entity. However the best model is the one that serves your read requests best. Also for background the sub columns in a super column are not indexed see http://wiki.apache.org/cassandra/CassandraLimitations . You would probably run into this problem if you had 6000 sub columns in a super column. Hope that helps. - Aaron Morton Freelance Cassandra Developer @aaronmorton http://www.thelastpickle.com On 17/08/2011, at 12:53 AM, Renato Bacelar da Silveira wrote: I am wondering about a certain volume situation. I currently load a Keyspace with a certain amount of SCFs. Each SCF (Super Column Family) represents an entity. Each Entity may have up to 6000 values. I am planning to have 500,000 Entities (SCF) with 6000 Columns (within Super Columns - number of Super Columns unknown), and was wondering how much resources something like this would require? I am struggling to have 10,000 SCF with 30 Columns (within SuperColumns), I get very large files, and reach a 4Gb heapspace limit very quickly on a single node. I use Garbage Collection where needed. Is there some secret to load 500,000 Super Column Families? Regards. -- Renato da Silveira Senior Developer
Re: Cassandra for numerical data set
BTW, If I'm going to insert a SCF row with ~400 columns and ~50 subcolumns under each column, how often should I do a mutation? per column or per row? On Aug 16, 2011, at 3:24 PM, Yi Yang wrote: Thanks Aaron. 2) I'm doing batch writes to the database (pulling data from multiple resources and put them together). I wish to know if there's some better methods to improve the writing efficiency since it's just about the same speed as MySQL, when writing sequentially. Seems like the commitlog requires a huge mount of disk IO comparing with my test machine can afford. Have a look at http://www.datastax.com/dev/blog/bulk-loading This is a great tool for me. I'll try on this tool since it will require much lower bandwidth cost and disk IO. 3) In my case, each row is read randomly with the same chance. I have around 0.5M rows in total. Can you provide some practical advices on optimizing the row cache and key cache? I can use up to 8 gig of memory on test machines. If your data set small enough to fit in memory ? . You may also be interested in the row_cache_provider setting for column families, see the CLI help for create column family and the IRowCacheProvider interface. You can replace the caching strategy if you want to. The dataset is about 150 Gig storing as CSV and estimated as 1.3T storing as SSTable. Hence I don't think it can fit into memory.I'll try the caching strategy a little bit but I think it can improve my case a little bit. I'm now looking into some native compression on SSTable, just patched the CASSANDRA-47 and found there is a huge performance penalty in my use case, and I haven't figured out the reason yet. I suppose CASSANDRA-647 will solve it better, however I seek there's a number of tickets working at a similar issue, including CASSANDRA-1608 etc. Is that because cassandra really cost a huge disk space? Well my target is to simply get the 1.3T compressed to 700 Gig so that I can fit it into a single server, while keeping the same level of performance. Best, Steve On Aug 16, 2011, at 2:27 PM, aaron morton wrote: Hope that helps. - Aaron Morton Freelance Cassandra Developer @aaronmorton http://www.thelastpickle.com On 16/08/2011, at 12:44 PM, Yi Yang wrote: Dear all, I wanna report my use case, and have a discussion with you guys. I'm currently working on my second Cassandra project. I got into somehow a unique use case: storing traditional, relational data set into Cassandra datastore, it's a dataset of int and float numbers, no more strings, no more other data and the column names are much longer than the value itself. Besides, row-key is the md-5 hash ver3 UUID of some other data. 1) I did some workaround to make it save some disk space however it still takes approximately 12-15x more disk space than MySQL. I looked into Cassandra SSTable internal, did some optimizing on selecting better data serializer and also hashed the column name into one byte. That made the current database having ~6x overhead on disk space comparing with MySQL, which I think it might be acceptable. I'm currently interested into CASSANDRA-674 and will also test CASSANDRA-47 in the coming days. I'll keep you updated on my testing. But I'm willing to hear your idea on saving disk space. 2) I'm doing batch writes to the database (pulling data from multiple resources and put them together). I wish to know if there's some better methods to improve the writing efficiency since it's just about the same speed as MySQL, when writing sequentially. Seems like the commitlog requires a huge mount of disk IO comparing with my test machine can afford. 3) In my case, each row is read randomly with the same chance. I have around 0.5M rows in total. Can you provide some practical advices on optimizing the row cache and key cache? I can use up to 8 gig of memory on test machines. Thanks for your help. Best, Steve
Cassandra for numerical data set
Dear all, I wanna report my use case, and have a discussion with you guys. I'm currently working on my second Cassandra project. I got into somehow a unique use case: storing traditional, relational data set into Cassandra datastore, it's a dataset of int and float numbers, no more strings, no more other data and the column names are much longer than the value itself. Besides, row-key is the md-5 hash ver3 UUID of some other data. 1) I did some workaround to make it save some disk space however it still takes approximately 12-15x more disk space than MySQL. I looked into Cassandra SSTable internal, did some optimizing on selecting better data serializer and also hashed the column name into one byte. That made the current database having ~6x overhead on disk space comparing with MySQL, which I think it might be acceptable. I'm currently interested into CASSANDRA-674 and will also test CASSANDRA-47 in the coming days. I'll keep you updated on my testing. But I'm willing to hear your idea on saving disk space. 2) I'm doing batch writes to the database (pulling data from multiple resources and put them together). I wish to know if there's some better methods to improve the writing efficiency since it's just about the same speed as MySQL, when writing sequentially. Seems like the commitlog requires a huge mount of disk IO comparing with my test machine can afford. 3) In my case, each row is read randomly with the same chance. I have around 0.5M rows in total. Can you provide some practical advices on optimizing the row cache and key cache? I can use up to 8 gig of memory on test machines. Thanks for your help. Best, Steve
Re: column metadata and sstable
Thanks Aaron, This is the same as I've thought. But I'm wondering if there's come triggers that can hash the column name in order to save disk space. Or do you think it's better to have this feature? Best, Steve On Aug 6, 2011, at 7:06 PM, aaron morton wrote: AFAIK it just makes it easier for client API's to understand what data type to use. e.g. it can give your code a long rather than a str / byte array . Personally I'm on the fence about using it. It has some advantages to the client, but given the server does not really need the information it feels a little like additional coupling that's not needed . Cheers - Aaron Morton Freelance Cassandra Developer @aaronmorton http://www.thelastpickle.com On 6 Aug 2011, at 11:58, Yi Yang wrote: Dear all, I'm wondering what's the advantage of assigning column metadata when NOT using secondary indices. I've gone through the SSTable internal and found out it won't do such conversion.Thus I think the only advantage we got via column metadata is a data validation type, am I correct? Thanks. Steve
column metadata and sstable
Dear all, I'm wondering what's the advantage of assigning column metadata when NOT using secondary indices. I've gone through the SSTable internal and found out it won't do such conversion.Thus I think the only advantage we got via column metadata is a data validation type, am I correct? Thanks. Steve
Re: Schema Disagreement
Thanks Aaron.
On Aug 2, 2011, at 3:04 AM, aaron morton wrote:
Hang on, using brain now.
That is triggering a small bug in the code see
https://issues.apache.org/jira/browse/CASSANDRA-2984
For not just remove the column meta data.
Cheers
-
Aaron Morton
Freelance Cassandra Developer
@aaronmorton
http://www.thelastpickle.com
On 2 Aug 2011, at 21:19, aaron morton wrote:
What do you see when you run describe cluster; in the cassandra-cli ? Whats
the exact error you get and is there anything in the server side logs ?
Have you added other CF's before adding this one ? Did the schema agree
before starting this statement?
I ran the statement below on the current trunk and it worked.
Cheers
-
Aaron Morton
Freelance Cassandra Developer
@aaronmorton
http://www.thelastpickle.com
On 2 Aug 2011, at 12:08, Dikang Gu wrote:
I thought the schema disagree problem was already solved in 0.8.1...
On possible solution is to decommission the disagree node and rejoin it.
On Tue, Aug 2, 2011 at 8:01 AM, Yi Yang yy...@me.com wrote:
Dear all,
I'm always meeting mp with schema disagree problems while trying to create
a column family like this, using cassandra-cli:
create column family sd
with column_type = 'Super'
and key_validation_class = 'UUIDType'
and comparator = 'LongType'
and subcomparator = 'UTF8Type'
and column_metadata = [
{
column_name: 'time',
validation_class : 'LongType'
},{
column_name: 'open',
validation_class : 'FloatType'
},{
column_name: 'high',
validation_class : 'FloatType'
},{
column_name: 'low',
validation_class : 'FloatType'
},{
column_name: 'close',
validation_class : 'FloatType'
},{
column_name: 'volumn',
validation_class : 'LongType'
},{
column_name: 'splitopen',
validation_class : 'FloatType'
},{
column_name: 'splithigh',
validation_class : 'FloatType'
},{
column_name: 'splitlow',
validation_class : 'FloatType'
},{
column_name: 'splitclose',
validation_class : 'FloatType'
},{
column_name: 'splitvolume',
validation_class : 'LongType'
},{
column_name: 'splitclose',
validation_class : 'FloatType'
}
]
;
I've tried to erase everything and restart Cassandra but this still
happens. But when I clear the column_metadata section this no more
disagreement error. Do you have any idea why this happens?
Environment: 2 VMs, using the same harddrive, Cassandra 0.8.1, Ubuntu 10.04
This is for testing only. We'll move to dedicated servers later.
Best regards,
Yi
--
Dikang Gu
0086 - 18611140205
Schema Disagreement
Dear all,
I'm always meeting mp with schema disagree problems while trying to create a
column family like this, using cassandra-cli:
create column family sd
with column_type = 'Super'
and key_validation_class = 'UUIDType'
and comparator = 'LongType'
and subcomparator = 'UTF8Type'
and column_metadata = [
{
column_name: 'time',
validation_class : 'LongType'
},{
column_name: 'open',
validation_class : 'FloatType'
},{
column_name: 'high',
validation_class : 'FloatType'
},{
column_name: 'low',
validation_class : 'FloatType'
},{
column_name: 'close',
validation_class : 'FloatType'
},{
column_name: 'volumn',
validation_class : 'LongType'
},{
column_name: 'splitopen',
validation_class : 'FloatType'
},{
column_name: 'splithigh',
validation_class : 'FloatType'
},{
column_name: 'splitlow',
validation_class : 'FloatType'
},{
column_name: 'splitclose',
validation_class : 'FloatType'
},{
column_name: 'splitvolume',
validation_class : 'LongType'
},{
column_name: 'splitclose',
validation_class : 'FloatType'
}
]
;
I've tried to erase everything and restart Cassandra but this still happens.
But when I clear the column_metadata section this no more disagreement error.
Do you have any idea why this happens?
Environment: 2 VMs, using the same harddrive, Cassandra 0.8.1, Ubuntu 10.04
This is for testing only. We'll move to dedicated servers later.
Best regards,
Yi
Re: [RELEASE] 0.8.0
Is there anyone willing to upgrade the libcassandra for C++, to support new features in 0.8.0? Or has anyone started to work on it? Thanks On Jun 3, 2011, at 7:36 AM, Eric Evans wrote: I am very pleased to announce the official release of Cassandra 0.8.0. If you haven't been paying attention to this release, this is your last chance, because by this time tomorrow all your friends are going to be raving, and you don't want to look silly. So why am I resorting to hyperbole? Well, for one because this is the release that debuts the Cassandra Query Language (CQL). In one fell swoop Cassandra has become more than NoSQL, it's MoSQL. Cassandra also has distributed counters now. With counters, you can count stuff, and counting stuff rocks. A kickass use-case for Cassandra is spanning data-centers for fault-tolerance and locality, but doing so has always meant sending data in the clear, or tunneling over a VPN. New for 0.8.0, encryption of intranode traffic. If you're not motivated to go upgrade your clusters right now, you're either not easily impressed, or you're very lazy. If it's the latter, would it help knowing that rolling upgrades between releases is now supported? Yeah. You can upgrade your 0.7 cluster to 0.8 without shutting it down. You see what I mean? Then go read the release notes[1] to learn about the full range of awesomeness, then grab a copy[2] and become a (fashionably )early adopter. Drivers for CQL are available in Python[3], Java[3], and Node.js[4]. As usual, a Debian package is available from the project's APT repository[5]. Enjoy! [1]: http://goo.gl/CrJqJ (NEWS.txt) [2]: http://cassandra.debian.org/download [3]: http://www.apache.org/dist/cassandra/drivers [4]: https://github.com/racker/node-cassandra-client [5]: http://wiki.apache.org/cassandra/DebianPackaging -- Eric Evans eev...@rackspace.com
