Which is the compatible Hector version to connect to cassandra? I have apache cassandra 1.2.5
Is it Core 0.8.0-2 / 1.0-1 or
Test 1.0-1 or
HOM 1.1-02/2.0-01/3.0-01
Which one I need to use if it is apache-cassandra 1.2.5
Thanks!
You want the latest core version (to get the very latest clone the git repository and build it using maven, or the much simpler option, use hector's maven repository and add the dependency which can be found below). The test version is unit tests, but building the whole git repository and including the tests along side the core driver shouldn't be a problem.
<dependency>
<groupId>me.prettyprint</groupId>
<artifactId>hector-core</artifactId>
<version>1.0-5</version>
</dependency>
So from the dependency you can see the latest version is 1.0-5. For latest Cassandra pick the latest driver, if that fails get their last known 'production ready' version which in this case would appear to be 1.0-5.
But on a side note, pick a better driver, Hector is known for being difficult to work with and datastax advise use of cql drivers for new Cassandra applications.
Related
I have downloaded Spark source code(branch 2.4) and built the jars using the built instruction for Hadoop 2.7.4. I have also downloaded a pre-built version of Spark 2.4.4(Pre-built for Hadoop 2.7).
When I start spark-shell I see two different versions of Spark as shown in the picture below:
In the first picture, version is 3.0.0 for the jars built after downloading source code of branch 2.4. The second picture is from the pre-built version available from apache spark website. Not only that, the plans are using RelationV2 in first case and Relation logical node in second case.
Can anyone explain why is there such a difference?
Pretty sure you got mixed up, as 3.0.0 is the default choice for dowloading source or prebuilt version. Maybe I am mistaked, but, as of my comment, carefully check what version you have built.
We have apache cassandra 3.11.0 installed i see new version 3.11.1 is installed can you guys point me to the document for the bugs fixed and if any new functionalities added in latest version
3.11.1 has been released on 2017.10.10. You can check the changes and the release notes.
Currently I have Spark version 1.6.2 installed.
I want to upgrade the Spark version to the newest 2.0.1. How do I do this without losing the existing configurations?
Any help would be appreciated.
If its maven or sbt application you simply change dependency version of spark and also migrate your code according to 2.0 so you will not lose you configurations. and for spark binary you can take backup of config folder.
There is no much change related to configuration, some method signatures are changed , major changes i observed was mapPartitions method signature and some changes to metrics/listener api, apart from new features.
I am trying to build a simple project with Spark+Cassandra for a SQL-analytics demo.
I need to use Cassandra v2.0.14 (can't upgrade it for now). I am unable to find the correct version of Spark and Spark-cassandra-connector. I referred to Datastax's git project at - https://github.com/datastax/spark-cassandra-connector, and I know that the Spark and Spark-cassandra-connector versions need to match and be compatible with Cassandra. Hence, would like anyone to help pointing out the exact versions for Spark, Spark-Cassandra-connector. I tried using v1.1.0 and v1.2.1 for both Spark and Spark-Cassandra-connector - but unable to build the spark-cassandra-connector jat jar with neither the supplied sbt (fails because the downloaded sbt-launch jar just contains a 404 not found html), nor my local sbt v0.13.8 (fails for compilation error for "import sbtassembly.Plugin.", "import AssemblyKeys.")
The connector works with Cassandra 2.0 and 2.1 but some features may also work fine with 2.2 and 3.0 (not officially supported yet) using the older Java driver 2.1. This is because C* Java driver supports a wide range of Cassandra versions. The newer driver works with older C* versions, but also the older driver versions work with newer C* versions, excluding new C* features.
However, there is a one minor caveat with using C* 2.0:
Since version 1.3.0, we dropped the thrift client from the connector. This move was to simplify connectivity code and make it easier to debug - debugging one type of connection should be easier than two. It either connects or not, no more surprises of a kind "it writes fine, but can't connect for reading". Unfortunately, not all of the thrift functionality was exposed by the native protocol in C* 2.0 nor in the system tables. Therefore, if you use C* prior to version 2.1.5, automatic split sizing won't work properly and you have to tell the connector the preferred number of splits. This is to be set in ReadConf object passed at the creation of the RDD.
As for the interface between the Connector and Spark, there is much less freedom. Spark APIs change quite often and you typically need a connector dedicated to the Spark version you use. See the version table in the README.
(fails because the downloaded sbt-launch jar just contains a 404 not found html)
This looks like an SBT problem, not a connector problem.
I just tried to do sbt clean assembly on all v1.2.5, v1.3.0, b1.4 and it worked fine.
if you can upgrade version of spark then you can connect with spark with cassandra .
put following maven dependency in pom file :-
cassandra-all
cassandra-core
cassandra-mapping
cassandra-thrift
cassandra-client
spark-cassandra-connector
spark-cassandra-connector-java
this will be work.
I'm having a bit of trouble understanding exactly how to add jackson-module-scala to my datastax spark integration.
I am using Datastax Enterprise 4.5, planning to upgrade soon to 4.6.1 soon.
I am still new to scala, though I have some experience with maven. I understand that dse uses the spark-cassandra-connector under the hood, but I can't find where the connector code resides on a specific cassandra node, specifically the build.sbt file.
Would I even add the jackson-module-scala dependency to the connector build.sbt file? I grepped for an .sbt file but could not find one.
Any help here much appreciated.
sbt is the scala build tool.
You should have a scala project where you use spark.
this project should have a build.sbt file that lists dependencies and a lot more.
you should add the jackson dependency to that file