I have a fundamental question regarding the two servers mentioned in the context of cloudera cdh4 distribution
Are those two interchangeable/replaceable as in could you run beeswax in place of hive server?
I'm trying to use a thrift client to connect and in my set up only the beeswax is running and not the hive server. In such a case can I connect to the beeswax server?
Hive Server is the default process and Beeswax is a newer process designed to better support concurrency and provide authentication using Kerberos. You should run one or the other.
And yes, you should definitely be able to connect to beeswax using Thrift. You can find clients for Beeswax and Hive server here.
what is the difference between hive-server2 and beeswax? They are both designed to better support concurrency and security.
Related
I'm trying to use HUE Beeswax to connect my company's Hive database. Firstly, is it possible to use HUE installed on my mac to be connected with remote Hive server? If it does, how am I supposed to find the address for the Hive server which is running on our private server? Only thing I can do is to type 'hive' and put some sql queries in hive shell. I already installed HUE but can't figure out how to connect it to the remote Hive server. Any tips would be much appreciated.
If all you want is a desktop connection to Hive, you only need a JDBC client, not a full web app like Hue.
In any case, Hive CLI is deprecated. Beeline is preferred. To use Beeline and Hue, you need a HiveServer2 running.
To find the address of the HiveServer2, if you have it, you need to find your hive-site.xml file on the Hadoop cluster, and export it. Other ways to get this information are available in Ambari or Cloudera Manager (but if you're using a Cloudera CDH cluster, you already have Hue). The Thrift interface is what you want. Default port is 10000
When you setup the Hue, you will need to find the hue.ini file, in which, edit the section that starts with [beeswax] and fill in the necessary values. Personally, I find that section fairly straightforward
You can read the Hue github to find the requirements for running it on a Mac
Let's imagine I have access to an Hive datawarehouse, I can query it using some webservice. The problem is that I cannot automate the query using this service, so I would like to be able to query Hive from an external script (that I would be able to automate).
For now, I've only seen people running Hive on their local machine and querying it, I was wondering if it was possible to do it remotely ? If yes, how ?
Thanks a lot !
As far as I understood, you are asking if there are ways to connect to hive from a remote machine?
You could install hive client (beeline) on any remote machine and connect to hive via jdbc.
Take a look here:
https://cwiki.apache.org/confluence/display/Hive/HiveServer2+Clients
An easy way to do this, is to deploy the client configuration of hadoop/yarn on the remote machine. If the remote cluster is secured with firewalls and kerberos, you will need access to those first. After that it's just a matter of starting up a hive shell or committing a job submit to Yarn.
When you use Cloudera, you might be able to add the host to the cluster and install a "gateway" role for yarn and hive on the target machine. This is very straight-forward and requires just a few minutes of work.
Alternatively using the JDBC connector should also work, as stated in Facha's answer.
We do have problems with table lookings. We need simultanious access from hive and spark (with thrift server) to tables. However our problem is running spark with thrift server result in a table looking.
We're running on an Amazon AWS EMR Cluster with Hive, Spark and thrift Server 2.
We'd like to update with hive an s3 storage and load this aggregated data into spark in background periodically. Spark meanwhile is allways on with thrift server loaded and has the same data loaded from s3, to do realtime aggregations on this data. Spark does not need write access on this data.
The problem is running the periodicall data-loading tasks on hive result in freeze of the job.
We think the meta-store may be locked by spark / thrift server, blocking hive from updating and reloading data into spark. (But not sure about this)
Is it possible to start spark and thrift server in read only non-blocking mode?
What may cause the problem? Anyone experienced similar problems?
How is your metastore configured ? Does it use Derby for the metastore ?
With the default configuration it uses Derby, which does not support multiple concurrent users.
If so, you should change it to use something like MySQL, which does support multiple users.
I am going through Apache Hive these days and the following thing is confusing me quite a bit -
There is a Hive Web Interface (hive --service hwi), that listens on a port (default 9999) and allow the client to Submit a query and come back later facility, Authorization equipped etc.
There is also a HiveServer (hive --service HiveServer), that runs a server and allows remote clients to connect and submit Hive queries and is also Authorization protected etc.
How are they different ? (OR are they not) ? If they are different, but offers the same kind of features, what is different ?
There is also a HiveServer2 and a Thrift server, which not sure but I think an improvement over HiveServer ?
Can someone talk about them and clarify, whats the uniqueness in them and bigger problem they solve ?
Regards,
(*Vipul)() ;
HWI
Hive's HWI (HiveWebInterface) is an alternative to using Hive command line interface. It provides the features such as:
Schema browsing
Detached query execution
Manage sessions
No local installation
HiveServer
HiveServer on the other hand allows remote clients to submit requests to Hive using Thrift's various programming language bindings. As HiveServer uses Thrift, it is sometimes called as ThriftServer.
HiveServer v1 cannot handle concurrent requests from more than one client, this limitation is addressed in HiveServer v2, which allows multiple concurrent connections to clients. HiveServer2 also provides:
authentication using Kerberos & LDAP
SSL encryption
PAM
HiveServer2 provides various client interfaces like:
Beeline command line shell
JDBC
Python & Ruby clients
HiveServer2 JDBC driver can be used to connect to BI tools like Tableau, Talend, etc. to perform ETL.
I need to access data using Hive programatically (data in the order of GBs per query). I was evaluating CLI driver Vs Hive JDBC driver.
When we use JDBC, there is an extra overhead of thrift server & I am trying to understand how heavy is that. Also can it be a single point bottleneck if multiple clients connect to single thrift server? Or is it a common practice that people configure multiple thrift servers on Hadoop and do some load balancing stuff?
I am looking for the better performance rather than faster prototyping.
Thanks in advance.
Shengjie's link doesn't work- This might properly automagically linkify:
http://blog.milford.io/2011/07/productionizing-the-hive-thrift-server/
From performance point of view, yes, thrift server can potentially be the bottleneck and the SPF. I've seen people set up multiple thrift servers talking to mysql metastore. Take a look at this http://blog.milford.io/2011/07/productionizing-the-hive-thrift-server/.Hope it helps.
You can try using connection pooling. I had a similar issue while submitting hive query through JDBC was taking more time than hive cli.
Also in your connection string mention few parameters as below:
jdbc:hive2://servername:portno/;hive.execution.engine=tez;tez.queue.name=alt;hive.exec.parallel=true;hive.vectorized.execution.enabled=true;hive.vectorized.execution.reduce.enabled=true;