* Update Nagios-Plugins.md * Update MM-Monitor.md * Update Nagios-Plugins.md * Update Nagios-Plugins.md * Update Galera-Cluster-Connection-Routing-Tutorial.md * Update Galera-Cluster-Connection-Routing-Tutorial.md * Update RabbitMQ-Setup-And-MaxScale-Integration.md * Update MaxScale-Tutorial.md * Update Cache.md * Update Transaction-Performance-Monitoring-Filter.md * Update RabbitMQ-Consumer-Client.md * Update Building-MaxScale-from-Source-Code.md * Update MariaDB-MaxScale-Installation-Guide.md * Update Install-MariaDB-MaxScale-Using-a-Tarball.md * Update RabbitMQ-Setup-And-MaxScale-Integration.md * Update RabbitMQ-Consumer-Client.md
		
			
				
	
	
		
			378 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
			
		
		
	
	
			378 lines
		
	
	
		
			11 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
# Rabbit MQ setup and MariaDB MaxScale Integration
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## Introduction
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A step by step guide helps installing a RabbitMQ server and testing it before
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MariaDB MaxScale integration.
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New plugin filter and a message consumer application need to be compiled and
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linked with an external C library, RabbitMQ-c, that provides AMQP protocol integration.
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Custom configuration, with TCP/IP and Queue parameters, is also detailed here.
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The software install setup provides RPM and DEB packaging and traditional compilation steps.
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## Step 1 - Get the RabbitMQ binaries
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On Centos 6.5 using fedora / RHEL rpm get the rpm from
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[http://www.rabbitmq.com/](http://www.rabbitmq.com/ "RabbitMQ")
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rabbitmq-server-3.3.4-1.noarch.rpm
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Please note, before installing RabbitMQ, you must install Erlang.
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Example:
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```
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yum install erlang
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Package erlang-R14B-04.3.el6.x86_64 already installed and latest version
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```
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## Step 2 - Install and Start the Server
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Install the packages using your distribution's package manager and start the server:
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```
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yum install rabbitmq-server-3.3.4-1.noarch.rpm
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systemctl start rabbitmq-server.service
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```
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To configure your RabbitMQ server, please refer to the RabbitMQ website:
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[http://www.rabbitmq.com/](http://www.rabbitmq.com/ RabbitMQ website).
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rabbitmqctl is a command line tool for managing a RabbitMQ broker.
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It performs all actions by connecting to one of the broker's nodes.
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```
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rabbitmqctl list_queues
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rabbitmqctl list_queues | list_exchanges| cluster_status | list_bindings | list_connections | list_consumers | status
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```
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Example output:
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```
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            [root@maxscale-02 MaxScale]# rabbitmqctl status
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            Status of node 'rabbit@maxscale-02' ...
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            [{pid,12251},
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             {running_applications,[{rabbit,"RabbitMQ","3.3.4"},
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                        {os_mon,"CPO  CXC 138 46","2.2.7"},
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                        {xmerl,"XML parser","1.2.10"},
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                        {mnesia,"MNESIA  CXC 138 12","4.5"},
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                        {sasl,"SASL  CXC 138 11","2.1.10"},
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                        {stdlib,"ERTS  CXC 138 10","1.17.5"},
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                        {kernel,"ERTS  CXC 138 10","2.14.5"}]},
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                         {os,{unix,linux}},
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                          {erlang_version,"Erlang R14B04 (erts-5.8.5) [source] [64-bit] [smp:2:2] [rq:2] [async-threads:30] [kernel-poll:true]\n"},
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                          ...
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                           {listeners,[{clustering,25672,"::"},{amqp,5672,"::"}]},
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                           ...
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                           ...done.
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                           [root@maxscale-02 MaxScale]# rabbitmqctl list_bindings
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                           Listing bindings ...
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                           x1    exchange    q1    queue    k1    []
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                           ...done.
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```
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Interaction with the server may require stop & reset at some point:
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```
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rabbitmqctl stop_app
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rabbitmqctl reset
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rabbitmqctl start_app
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```
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## Step 3 - Install and test the client libraries
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The selected library for MariaDB MaxScale integration of RabbitMQ is:
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[https://github.com/alanxz/rabbitmq-c](https://github.com/alanxz/rabbitmq-c RabbitMQ-C)
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### Manual software compilation
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To compile the RabbitMQ-C libraries manually:
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```
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git clone  https://github.com/alanxz/rabbitmq-c.git
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cd rabbitmq-c
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cmake -DCMAKE_INSTALL_PREFIX=/usr .
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make
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make install
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```
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Please note, this will install the packages to /usr. If you do not wish to install
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them to this location, provide a different value for the CMAKE_INSTALL_PREFIX variable.
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### Setup using the EPEL repository
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Check how to configure your distribution for the EPEL repository:
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[https://fedoraproject.org/wiki/EPEL](https://fedoraproject.org/wiki/EPEL EPEL)
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Configure your repositories and install the software:
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```
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yum install librabbitmq.x86_64
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```
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you might also like to install:
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```
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librabbitmq-tools.x86_64, librabbitmq-devel.x86_64
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```
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Please note you may also install the rabbitmq server from the EPEL repository:
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```
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yum install rabbitmq-server
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```
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### Basic tests with library
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The required library librabbitmq-c is now installed and we continue with basic
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operations with amqp_* tools, located  in the examples/ folder of the build directory,
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testing client server interaction.
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Please note, those example applications may not be included in the RPM library packages.
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#### Test 1 - create the exchange
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```
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[root@maxscale-02 examples]# ./amqp_exchange_declare
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Usage: amqp_exchange_declare host port exchange exchangetype
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```
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Declare the exchange:
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```
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[root@maxscale-02 examples]# ./amqp_exchange_declare 127.0.0.1 5672 foo direct
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```
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#### Test 2 - Listen to exchange with selected binding key
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```
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[root@maxscale-02 examples]# ./amqp_listen
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Usage: amqp_listen host port exchange bindingkey
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```
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Start the listener:
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```
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[root@maxscale-02 examples]# ./amqp_listen 127.0.0.1 5672 foo k1 &
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```
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#### Test 3 - Send a message …
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```
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[root@maxscale-02 examples]# ./amqp_sendstring
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Usage: amqp_sendstring host port exchange routingkey messagebody
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[root@maxscale-02 examples]# ./amqp_sendstring 127.0.0.1 5672 foo k1 “This is a new message”
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```
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... and watch the listener output
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```
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Delivery 1, exchange foo routingkey k1
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Content-type: text/plain
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```
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## Step 4 - Configure new applications
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The new filter needs to be configured in maxscale.cnf.
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```
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[Test Service]
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type=service
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router=readconnroute
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router_options=slave
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servers=server1,server2,server3,server5,server4
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user=massi
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passwd=massi
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filters=MQ
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[MQ]
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type=filter
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module=mqfilter
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exchange=x1
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key=k1
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queue=q1
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hostname=127.0.0.1
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port=5672
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logging_trigger=all
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```
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Logging triggers define whether to log all or a subset of the incoming queries
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using these options:
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```
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# log only some elements or all
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logging_trigger=[all,source,schema,object]
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# Whether to log only SELECT, UPDATE, INSERT and DELETE queries or all possible queries
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logging_log_all=true|false
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# Log only when any of the trigger parameters match or only if all parameters match
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logging_strict=true|false
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# specify objects
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logging_object=mytable,another_table
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# specify logged users
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logging_source_user=testuser,testuser
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# specify source addresses
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logging_source_host=127.0.0.1,192.168.10.14
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# specify schemas
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logging_schema=employees,orders,catalog
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```
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Example:
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```
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logging_trigger=object,schema,source
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logging_strict=false
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logging_log_all=false
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logging_object=my1
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logging_schema=test
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logging_source_user=maxtest
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```
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The logging result of the example is:
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```
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if user maxtest does something, it's logged
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and all queries in test schema are logged
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anything targeting my1 table is logged
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SELECT NOW(), SELECT MD5(“xyz)” are not logged
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```
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Please note that if we want to log only the user ‘maxtest’ accessing the
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schema ‘test’ with target ‘my1’  the option logging_strict must be set
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to TRUE and if we want to include those selects without schema name the
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option logging_log_all must be set to TRUE.
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The mqfilter logs into the MariaDB MaxScale TRACE log information about
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the matched logging triggers and the message delivering:
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```
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2014 09/03 06:22:04   Trigger is TRG_SOURCE: user: testuser = testuser
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2014 09/03 06:22:04   Trigger is TRG_SCHEMA: test = test
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2014 09/03 06:22:04   Trigger is TRG_OBJECT: test.t1 = t1
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2014 09/03 06:22:04   Routing message to: 127.0.0.1:5672 / as guest/guest, exchange: x1<direct> key:k1 queue:q1
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```
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The consumer application needs to be configured as well:
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```
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#The options for the consumer are:
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#hostname    RabbitMQ hostname
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#port        RabbitMQ port
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#vhost        RabbitMQ virtual host
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#user        RabbitMQ username
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#passwd    RabbitMQ password
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#queue        Name of the queue to use
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#dbserver    SQL server name
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#dbport    SQL server port
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#dbname    Name of the database to use
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#dbuser    SQL server username
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#dbpasswd    SQL server password
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#logfile    Message log filename
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[consumer]
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hostname=127.0.0.1
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port=5672
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vhost=/
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user=guest
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passwd=guest
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queue=q1
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dbserver=127.0.0.1
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dbport=3308
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dbname=mqpairs
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dbuser=xxx
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dbpasswd=yyy
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```
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We may probably need to modify LD_LIBRARY_PATH before launching ‘consumer’:
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```
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# export LD_LIBRARY_PATH=/packages/rabbitmq-c/rabbitmq-c/librabbitmq:/packages/mariadb_client-2.0.0-Linux/lib/mariadb:/usr/lib64
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```
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and finally we can launch it:
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```
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# ./consumer
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```
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If the consumer.cnf file is not in the same directory as the binary file is,
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you can provide the location of the folder that it is in by passing
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it the -c flag followed by the path:
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```
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# ./consumer -c path/to/file
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```
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and start MariaDB MaxScale as well
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## Step 5 - Test the filter and check collected data
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Assuming that MariaDB MaxScale and the message consumer are successfully
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running let’s connect to the service with an active mqfilter:
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```
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[root@maxscale-02 MaxScale]#  mysql -h 127.0.0.1 -P 4506 -uxxx -pyyy
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...
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MariaDB [(none)]> select RAND(3), RAND(5);
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+--------------------+---------------------+
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| RAND(3)            | RAND(5)             |
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+--------------------+---------------------+
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| 0.9057697559760601 | 0.40613597483014313 |
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+--------------------+---------------------+
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1 row in set (0.01 sec)
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…
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MariaDB [(none)]> select RAND(3544), RAND(11);
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```
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we can check the consumer output in the terminal where it was started:
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```
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--------------------------------------------------------------
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Received: 1409671452|select @@version_comment limit ?
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Received: 1409671452|Columns: 1
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...
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Received: 1409671477|select RAND(?), RAND(?)
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Received: 1409671477|Columns: 2
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We query now the database for the content collected so far:
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MariaDB [(none)]> use mqpairs;
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Database changed
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MariaDB [mqpairs]> select * from pairs;
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+-------------------------------------+----------------------------------+------------+---------------------+---------------------+---------+
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| tag                                 | query                            | reply      | date_in             | date_out            | counter |
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+-------------------------------------+----------------------------------+------------+---------------------+---------------------+---------+
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| 006c006d006e006f007000710072007374  | select @@version_comment limit ? | Columns: 1 | 2014-09-02 11:14:51 | 2014-09-02 11:26:38 |       3 |
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| 00750076007700780079007a007b007c7d  | SELECT DATABASE()                | Columns: 1 | 2014-09-02 11:14:56 | 2014-09-02 11:27:06 |       3 |
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| 007e007f00800081008200830084008586  | show databases                   | Columns: 1 | 2014-09-02 11:14:56 | 2014-09-02 11:27:06 |       3 |
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| 008700880089008a008b008c008d008e8f  | show tables                      | Columns: 1 | 2014-09-02 11:14:56 | 2014-09-02 11:27:06 |       3 |
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| 0090009100920093009400950096009798  | select * from mqpairs.pairs      | Columns: 6 | 2014-09-02 11:15:00 | 2014-09-02 11:27:00 |      12 |
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| 00fc00fd00fe00ff0100010101020103104 | select NOW()                     | Columns: 1 | 2014-09-02 11:24:23 | 2014-09-02 11:24:23 |       1 |
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| 01050106010701080109010a010b010c10d | select RAND(?), RAND(?)          | Columns: 2 | 2014-09-02 11:24:37 | 2014-09-02 11:24:37 |       1 |
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+-------------------------------------+----------------------------------+------------+---------------------+---------------------+---------+
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7 rows in set (0.01 sec)
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```
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The filter send queries to the RabbitMQ server in the canonical format,
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i.e select RAND(?), RAND(?).
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The queries Message Queue Consumer application gets from the server
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are stored with a counter that quickly shows how many times that normalized query was received:
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```
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| 01050106010701080109010a010b010c10d | select RAND(?), RAND(?)           | Columns: 2 | 2014-09-02 11:24:37 | 2014-09-02 11:29:15 |       3 |
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```
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