"Developers can use what ever type they want for the name or value in a dynamic column and the framework will handle it appropriately."
What do you mean by "dynamic" column ? If you want to be able to insert an arbitrary number of columns in one physical row, CQL3 clustering is there and does pretty well the job. If by "dynamic" you mean a column whose validation type can change at runtime (like the dynamic composite type : http://hector-client.github.io/hector/build/html/content/composite_with_templates.html) then why don't you just use blob type and serialize it yourself at client side ? More pratically, in your previous example : - insert into myColumnFamily(staticColumn1, staticColumn2, 20 as int, dynamicColumn as string) into ('text1','text2',30.55 as double, 3500 as long) I can't see real sensible use-case where you need to mix static and dynamic columns in the same column family. If you need to save domain model, use skinny row with a fixed number of columns known before hand. If you want to store time series or timeline of data, wide row is there. On Thu, Feb 20, 2014 at 8:55 PM, Peter Lin <wool...@gmail.com> wrote: > > my apologies Sylvain, I didn't mean to misquote you. I still feel that > even if someone is only going to use CQL, it is "worth it" to learn thrift. > > In the interest of discussion, I looked at both jira tickets and I don't > see how that makes it so a developer can specify the name and value type > for a dynamic column. > > https://issues.apache.org/jira/browse/CASSANDRA-6561 > https://issues.apache.org/jira/browse/CASSANDRA-4851 > > Am I missing something? If the grammar for insert statements doesn't give > users the ability declare the name and value type, it means the developer > has to default name and value to bytes. In their code, they have to handle > that manually or build their own framework. I built my own framework, which > handles this for me. Developers can use what ever type they want for the > name or value in a dynamic column and the framework will handle it > appropriately. > > To me, developers should take time to learn both and use both. I realize > it's more work to understand both and take time to read the code. Not > everyone is crazy enough spend time reading cassandra code base or spend > hundreds of hours studying hector and other cassandra clients. I will say > this, if I hadn't spend time studying cassandra and reading Hector code, I > wouldn't have been able to help one of DataStax customer port Hector to > .Net. I also wouldn't have been able to port Hector to C# natively in 3 > months. > > Rather than recommend people be lazy, it would be more useful to list the > pros/cons. To my knowledge, there isn't a good writeup on the pros/cons of > thrift and cql on cassandra.apache.org. I don't know if the DataStax docs > have a detailed write up of it, does it? > > > > > On Thu, Feb 20, 2014 at 12:46 PM, Sylvain Lebresne > <sylv...@datastax.com>wrote: > >> On Thu, Feb 20, 2014 at 6:26 PM, Peter Lin <wool...@gmail.com> wrote: >> >>> >>> I disagree with the sentiment that "thrift is not worth the trouble". >>> >> >> Way to quote only part of my sentence and get mental on it. My full >> sentence was "it's probably not worth the trouble to start with thrift if >> you're gonna use CQL later". >> >> >>> >>> CQL and all SQL inspired dialects limit one's ability to use arbitrary >>> typed data in dynamic columns. With thrift it's easy and straight forward. >>> With CQL there is no way to tell Cassandra the type of the name and value >>> for a dynamic column. You can only set the default type. That means using a >>> "pure cql" approach you can deviate from the default type. Cassandra will >>> throw an exception indicating the type is different than the default type. >>> >> >>> Until such time that CQL abandons the shackles of SQL and adds the >>> ability to indicate the column and value type. Something like this >>> >> >>> insert into myColumnFamily(staticColumn1, staticColumn2, 20 as int, >>> dynamicColumn as string) into ('text1','text2',30.55 as double, 3500 as >>> long) >>> >>> This is one area where Thrift is superior to CQL. Having said that, it's >>> valid to use Cassandra "as if" it was a relational database, but then you'd >>> miss out on some of the unique features. >>> >> >> Man, if I had a nickel every time someone came on that mailing list >> pretending that something was possible with thrift and not CQL ... I will >> claim this: with CASSANDRA-6561 and CASSANDRA-4851 that just got in, there >> is *nothing* that thrift can do that CQL cannot. But well, what do I know >> about Cassandra. >> >> -- >> Sylvain >> >> >> >>> >>> >>> >>> >>> On Thu, Feb 20, 2014 at 12:12 PM, Sylvain Lebresne <sylv...@datastax.com >>> > wrote: >>> >>>> On Thu, Feb 20, 2014 at 2:16 PM, Edward Capriolo <edlinuxg...@gmail.com >>>> > wrote: >>>> >>>>> For what it is worth you schema is simple and uses compact storage. >>>>> Thus you really dont need anything in cassandra 2.0 as far as i can tell. >>>>> You might be happier with a stable release like 1.2.something and just >>>>> hector or astyanax. You are really dealing with many issues you should not >>>>> have to just to protoype a simple cassandra app. >>>> >>>> >>>> >>>> Of course, if everyone was using that reasoning, no-one would ever test >>>> new features and report problems/suggest improvement. So thanks to anyone >>>> like Rüdiger that actually tries stuff and take the time to report problems >>>> when they think they encounter one. Keep at it, *you* are the one helping >>>> Cassandra to get better everyday. >>>> >>>> And you are also right Rüdiger that it's probably not worth the trouble >>>> to start with thrift if you're gonna use CQL later. And you definitively >>>> should use CQL, it is Cassandra's future. >>>> >>>> -- >>>> Sylvain >>>> >>>> >>>> >>>>> >>>>> On Thursday, February 20, 2014, Sylvain Lebresne <sylv...@datastax.com> >>>>> wrote: >>>>> > >>>>> > >>>>> > >>>>> > On Wed, Feb 19, 2014 at 9:38 PM, Rüdiger Klaehn <rkla...@gmail.com> >>>>> wrote: >>>>> >> >>>>> >> I have cloned the cassandra repo, applied the patch, and built it. >>>>> But when I want to run the bechmark I get an exception. See below. I tried >>>>> with a non-managed dependency to >>>>> cassandra-driver-core-2.0.0-rc3-SNAPSHOT-jar-with-dependencies.jar, which >>>>> I >>>>> compiled from source because I read that that might help. But that did not >>>>> make a difference. >>>>> >> >>>>> >> So currently I don't know how to give the patch a try. Any ideas? >>>>> >> >>>>> >> cheers, >>>>> >> >>>>> >> Rüdiger >>>>> >> >>>>> >> Exception in thread "main" java.lang.IllegalArgumentException: >>>>> replicate_on_write is not a column defined in this metadata >>>>> >> at >>>>> com.datastax.driver.core.ColumnDefinitions.getAllIdx(ColumnDefinitions.java:273) >>>>> >> at >>>>> com.datastax.driver.core.ColumnDefinitions.getFirstIdx(ColumnDefinitions.java:279) >>>>> >> at com.datastax.driver.core.Row.getBool(Row.java:117) >>>>> >> at >>>>> com.datastax.driver.core.TableMetadata$Options.<init>(TableMetadata.java:474) >>>>> >> at >>>>> com.datastax.driver.core.TableMetadata.build(TableMetadata.java:107) >>>>> >> at >>>>> com.datastax.driver.core.Metadata.buildTableMetadata(Metadata.java:128) >>>>> >> at >>>>> com.datastax.driver.core.Metadata.rebuildSchema(Metadata.java:89) >>>>> >> at >>>>> com.datastax.driver.core.ControlConnection.refreshSchema(ControlConnection.java:259) >>>>> >> at >>>>> com.datastax.driver.core.ControlConnection.tryConnect(ControlConnection.java:214) >>>>> >> at >>>>> com.datastax.driver.core.ControlConnection.reconnectInternal(ControlConnection.java:161) >>>>> >> at >>>>> com.datastax.driver.core.ControlConnection.connect(ControlConnection.java:77) >>>>> >> at >>>>> com.datastax.driver.core.Cluster$Manager.init(Cluster.java:890) >>>>> >> at >>>>> com.datastax.driver.core.Cluster$Manager.newSession(Cluster.java:910) >>>>> >> at >>>>> com.datastax.driver.core.Cluster$Manager.access$200(Cluster.java:806) >>>>> >> at com.datastax.driver.core.Cluster.connect(Cluster.java:158) >>>>> >> at >>>>> cassandra.CassandraTestMinimized$delayedInit$body.apply(CassandraTestMinimized.scala:31) >>>>> >> at scala.Function0$class.apply$mcV$sp(Function0.scala:40) >>>>> >> at >>>>> scala.runtime.AbstractFunction0.apply$mcV$sp(AbstractFunction0.scala:12) >>>>> >> at scala.App$$anonfun$main$1.apply(App.scala:71) >>>>> >> at scala.App$$anonfun$main$1.apply(App.scala:71) >>>>> >> at scala.collection.immutable.List.foreach(List.scala:318) >>>>> >> at >>>>> scala.collection.generic.TraversableForwarder$class.foreach(TraversableForwarder.scala:32) >>>>> >> at scala.App$class.main(App.scala:71) >>>>> >> at >>>>> cassandra.CassandraTestMinimized$.main(CassandraTestMinimized.scala:5) >>>>> >> at >>>>> cassandra.CassandraTestMinimized.main(CassandraTestMinimized.scala) >>>>> > >>>>> > I believe you've tried the cassandra trunk branch? trunk is >>>>> basically the future Cassandra 2.1 and the driver is currently unhappy >>>>> because the replicate_on_write option has been removed in that version. >>>>> I'm >>>>> supposed to have fixed that on the driver 2.0 branch like 2 days ago so >>>>> maybe you're also using a slightly old version of the driver sources in >>>>> there? Or maybe I've screwed up my fix, I'll double check. But anyway, it >>>>> would be overall simpler to test with the cassandra-2.0 branch of >>>>> Cassandra, with which you shouldn't run into that. >>>>> > -- >>>>> > Sylvain >>>>> >>>>> -- >>>>> Sorry this was sent from mobile. Will do less grammar and spell check >>>>> than usual. >>>>> >>>> >>>> >>> >> >
