The Banana project was forked from Kibana, and works with all kinds of time series (and non-time series) data stored in Apache Solr. It uses Kibana's powerful dashboard configuration capabilities, ports key panels to work with Solr, and provides significant additional capabilities, including new panels that leverage D3.js.
The goal is to create a rich and flexible UI, enabling users to rapidly develop end-to-end applications that leverage the power of Apache Solr. Data can be ingested into Solr through a variety of ways, including Logstash, Flume and other connectors.
Pull the repo from the release branch for production deployment; version x.y.z will be tagged as x.y.z
develop branch is used for active development and cutting edge features.
fusion branch is used for Lucidworks Fusion release. The code base and features are the same as develop. The main difference
is in the configuration.
This release includes the following bug fixes and improvement:
You can find all previous Release Notes on our wiki page.
Run Solr at least once to create the webapp directory (this step might be unnecessary for Solr 6):
cd $SOLR_HOME/bin
./solr startCopy banana folder to $SOLR_HOME/server/solr-webapp/webapp/
cd $SOLR_HOME/server/solr-webapp/webapp
cp -R $BANANA_HOME/src ./bananaNOTES: For production, you should run grunt build command to generate the optimized code in dist directory. And then copy the dist directory to the production web server. For example:
cd $BANANA_HOME
npm install
bower install
grunt build
cp -R ./dist $SOLR_HOME/server/solr-webapp/webapp/bananaRun Solr at least once to create the webapp directories:
cd $SOLR_HOME/example
java -jar start.jarCopy banana folder to $SOLR_HOME/example/solr-webapp/webapp/
NOTES: If your Solr server/port is different from localhost:8983, edit banana/src/config.js and banana/src/app/dashboards/default.json to enter the hostname and port that you are using. Remember that banana runs within the client browser, so provide a fully qualified domain name (FQDN), because the hostname and port number you provide should be resolvable from the client machines.
If you have not created the data collections and ingested data into Solr, you will see an error message saying "Collection not found at .." You can use any connector to get data into Solr. If you want to use Logstash, please go to the Solr Output Plug-in for Logstash Page for code, documentation and examples.
Lucidworks has packaged Solr, Logstash (with a Solr Output Plug-in), and Banana (the Solr port of Kibana), along with example collections and dashboards in order to rapidly enable proof-of-concepts and initial development/testing. See http://www.lucidworks.com/lucidworks-silk/.
NOTES: This option is only applicable to Solr 5 or 4. Solr 6 has a different architecture.
Pull the source code of Banana version that you want from the
release branch in the repo;
For example, version x.y.z will be tagged as x.y.z.
Run a command line ant from within the banana directory to build the war file:
cd $BANANA_HOME
antThe war file will be called banana-\<buildnumber>.war and will be located in $BANANA_HOME/build. Copy the war file and banana's jetty context file to Solr directories:
cp $BANANA_HOME/build/banana-<buildnumber>.war $SOLR_HOME/server/webapps/banana.war
cp $BANANA_HOME/jetty-contexts/banana-context.xml $SOLR_HOME/server/contexts/ cp $BANANA_HOME/build/banana-<buildnumber>.war $SOLR_HOME/example/webapps/banana.war
cp $BANANA_HOME/jetty-contexts/banana-context.xml $SOLR_HOME/example/contexts/Run Solr:
cd $SOLR_HOME/bin/
./solr start cd $SOLR_HOME/example/
java -jar start.jarBrowse to http://localhost:8983/banana (or the FQDN of your Solr server).
Banana is an AngularJS app and can be run in any webserver that has access to Solr. You will need to enable CORS on the Solr instances that you query, or configure a proxy that makes requests to banana and Solr as same-origin. We typically recommend the latter approach.
If you want to save and load dashboards from Solr, then you need to create a collection called banana-int first. For Solr 6, here are the steps:
cd $SOLR_HOME/bin
./solr create -c banana-intFor Solr 5 and 4, you have to create the banana-int collection using the configuration files provided in either
the resources/banana-int-solr-5.0 (for Solr 5) directory or the resources/banana-int-solr-4.5 directory
(for Solr 4.5). If you are using SolrCloud, you will need to upload the configuration into
ZooKeeper and then create the collection using that configuration.
The Solr server configured in config.js will serve as the default node for each dashboard; you can configure each dashboard to point to a different Solr endpoint as long as your webserver and Solr put out the correct CORS headers. See the README file under the resources/enable-cors directory for a guide.
If you created dashboards for Banana 1.0.0, you did not have a global filtering panel. In some cases, these filter values can be implicitly set to defaults that may lead to strange search results. We recommend updating your old dashboards by adding a filtering panel. A good way to do it visually is to put the filtering panel on its own row and hide it when it is not needed.
Q: How do I secure my Solr endpoint so that users do not have access to it?
A: The simplest solution is to use an Apache or
nginx reverse proxy (See for example https://groups.google.com/forum/#!topic/ajax-solr/pLtYfm83I98).
Q: Can I use banana for non-time series data?
A: Yes, from version 1.3 onwards, non-time series data are also supported.
Banana uses the dashboard configuration capabilities of Kibana (from which it is forked) and ports key panels to work with Solr. Moreover, it provides many additional capabilities like heatmaps, range facets, panel specific filters, global parameters, and visualization of "group-by" style queries. We are continuing to add many new panels that go well beyond what is available in Kibana, helping users build complete applications that leverage the data stored in Apache Solr, HDFS and a variety of sources in the enterprise.
If you have any questions, please email banana-support@lucidworks.com
Kibana is a trademark of Elasticsearch BV
Logstash is a trademark of Elasticsearch BV