I've my Hadoop cluster running in AWS environment where the schema got mapped with Hive. And I could see the complete Data in Hive.
Now, Here is the Problem - I am trying to connect my hive to Superset where I couldn't able to connect with.
This is how I have provided my URI:
jdbc+hive://MYIP:PORT
Also tried:
hive://username:password#MYIP:PORT
Make sure hive server2 is up and running
Also you can try this one
hive://hostname:10000/default?auth=NOSASL
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
I try to connect my apache zeppelin with my hive metastore. I use zeppelin 0.7.3 so there is not a hive interpreter only jdbc. I have copied my hive-site.xml to zeppelin conf folder but I don't know how to create a new hive interpreter.
I also tried to access hive tables through spark's hive context but when I try this way, I can not see my hive databases only a default database is shown.
Can someone explain either how to create a hive interpreter or how to access my hive metastore through spark correctly?
Any answer is appreciated.
I solved it by following this documentation. After adding this parameters in jdbc connector you should be able to run hive interpreter with
%jdbc(hive)
In my case it was a little trickier because I used Cloudera Hadoop so the standard jdbc hive connector was not working. So I changed the external hive-jdbc.jar with the one suitable for my cdh version (for cdh 5.9.- for example it located here).
I also find out that you can change hive.url with the one for impala port and connect with jdbc to impala if you prefer.
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.
I found a post that discusses about connecting Tableau to Elastic Search via Hive SQL. I was wondering if there is a way to connect to Elastic Search via Spark SQL as I am not much familiar with hive.
Thanks.
#busybug91,
The right driver is here please try with this one. Could be solve your issue.
#NicholasY It got it resolved after a couple of trials. Two steps that I took:-
I wasn't using the right driver for connection. I was using datastax enterprise driver. However, they have a driver for spark sql as well. I used windows 64bit version of driver. Using MapR Hadoop Hive and Hortonworks Hadoop Hive drivers didn't work as I've Apache hive.
When I used right driver (from DataStax) I realized that my hive metastore and spark-thrift-server running on same port. I changed spark-thrift-server's port to 10001 and a successful connection was established.
A new problem: I've created external table in hive. I am able to query the data as well. I start hive-metastore as a service. However, as mentioned on this link I am not able to see my tables in hive in Spark SQL. My connection of Tableau with Spark Sql is of no use unless I see tables from hive metastore!! When I do show tables; in spark sql (via spark-sql shell and hive metastore running as a service as same time), it runs a job which gives a completion time also but now table names. I monitored it via localhost:4040 I see that input and output size are 0.0. I believe I am not able to get tables from hive in spark sql that is why I don't see any table after connection is established from Tableau to spark sql.
EDIT
I changed metastore from derby to mysql for both hive and spark sql.
I'm trying to do that, so maybe i can help you to warn up something.
First, compile a Spark SQL version with Hive and thrift Server (ver 0.13):
export MAVEN_OPTS="-Xmx2g -XX:MaxPermSize=512M -XX:ReservedCodeCacheSize=512m"
mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -Phive -Phive-thriftserver -DskipTests clean package
You need to have a hive-site.xml properly configurered to work with Hive and to copy it to spark/conf folder.
Then, you have to set the $CLASSPATH with the elasticsearch-hadoop jar path.
Be careful ! Spark SQL 1.2.0 is not working with elasticsearch-hadoop-2.0.x. You have to use a elasticsearch-hadoop-2.1.0-Beta4 or BUILD-SNAPSHOT available here.
To finish you have to run thriftserver with something like that:
./start-thriftserver.sh --master spark://master:7077 --driver-class-path $CLASSPATH --jars /root/spark-sql/spark-1.2.0/lib/elasticsearch-hadoop-2.1.0.Beta4.jar --hiveconf hive.server2.thrift.bind.host 0.0.0.0 --hiveconf hive.server2.thrift.port 10000
It works for me but only on small docType ( 5000 rows ) , the data-colocation seems not working. I looking for a solution to move elasticsearch-hadoop.jar on each Spark workers as ryrobes did for Hadoop.
If you find a way to locate access to elasticsearch, let me know ;)
HTH,
I'm having a problem about hive server that I don't understand. I've just set up a hadoop cluster and want to access to it from a hive service. First try I did was running the hive server in one of the cluster machines.
Everything worked nicely but I wanted to move the hive service to another machine outside the hadoop cluster.
So I just started a new machine outside this hadoop cluster. I've just install hive (+ hadoop libraries) and copied the hadoop config from the cluster. When I run the hiveserver almost everything goes ok. I can connect with the hive cli from a different machine to my hiveserver, create new tables in the hive warehouse within the hdfs filesystem in the hadoop cluster, query then and so on.
The thing I don't understand is that hiveserver seems to not recognize old tables which were created in my first try.
Some notes about my config are that all tables are handled by Hive and stored in HDFS. Hive configuration is the default one. I suppose that it has to do with my hive metastore but it couldn't say what.
Thank you!!