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Server 1QMetry App
Server 2QMetry Reports
AWS RDSQMetry DB

Pre-requisites

For additional information on verifying pre-requisites refer this article.

  1. The three servers should be on the same network and able to communicate with each other. Refer QMetry Deployment Document for the requirements.
  2. All the servers should have support of these commands: unzip, wget, curl and vim.
  3. Internet access should be enabled on all 3 servers to install using docker.
  4. Ensure Proxy Servers are not blocking downloads from the Internet.
  5. Docker installation requires root user access. To install using a non-root user, follow the steps specified here before starting the install on both QMetry and Report servers.
  6. QMetry and Report Servers should be able to communicate over 80/443 and Database Server 3306/DB Ports. Ports 8080 and 33061 should be enabled/open on Reports Server to allow connections from QMetry application server.
  7. Docker is installed under /var/lib/ directory. We recommend allocating enough space here to ensure QMetry has enough space to save your data.
    • Data of QMetry attachments added is saved under : /var/lib/docker/volumes/qmetry_attachment/_data
  8. Get the following files from QMetry Support: QMetryApp.zip, Spark_Report_Install.zip, License and docker credentials required for installation.
  9. Post installation, QMetry Application and Report tool both should be configured either on https or http.
  10. Following Ports should be open on respective servers:
InstallationPorts that need to be enabled
QMetry Database Server3306
QMetry Application80/443
QMetry Reporting Tool80/443, 8080, 8000, & 33061

Setting up QMetry DB Server in AWS

For database you need to setup a RDS.

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  • Login to AWS Management Console and open the Amazon RDS console.
  • RDS > Databases > Actions > Stop RDS Service.
  • Go to Configurations tab > Parameter Group.
  • Search and then add / edit the following parameters.
ParametersValues

lower_case_table_names

1

max_allowed_packet

536870912
character_set_serverutf8mb4
collation_serverutf8mb4_unicode_ci
innodb_thread_concurrency10
query_cache_limit1073741824
table_definition_cache2000
group_concat_max_len1536000
innodb_autoinc_lock_mode2

tx_isolation

REPEATABLE-READ
sql_modeSTRICT_TRANS_TABLES,ERROR_FOR_DIVISION_BY_ZERO,NO_AUTO_CREATE_USER,NO_ENGINE_SUBSTITUTION
binlog_error_actionABORT_SERVER
binlog_formatROW
binlog_group_commit_sync_delay0
binlog_group_commit_sync_no_delay_count0
binlog_gtid_simple_recovery 1
binlog_max_flush_queue_time0
binlog_order_commits1
binlog_row_imageFULL
binlog_rows_query_log_events 0
binlog_stmt_cache_size32768
max_binlog_stmt_cache_size18446744073709547520
log_bin_trust_function_creators1
log_bin_use_v1_row_events0

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  • RDS username
  • RDS password
  • RDS Database Schema name
  • RDS Endpoint

Installing QMetry Application

Step 1. Copy the QMetryApp.zip received from QMetry Support to your server. Navigate to the directory where this file is kept and execute the following commands.

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Step 8. Additional Tomcat Configuration: QMetry is installed with a default configuration of minimum and maximum heap memory utilization. You can modify these settings depending on your hardware configuration. Refer Additional Configuration for more details.

Installing QMetry Reporting

If you have purchased Advanced Reporting then you will need a separate server for QMetry Reporting.

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 Server Configurations

Small Teams  < 50 Users

Medium Teams < 500 Users

Large Teams  500+ Users

Stand Alone Server

 

Min

Recommended

Min

Recommended

Min

Recommended

CPU

4 Cores

4 Core

8 Core

16 Core

16 Core

24 - 32 Core

Memory

8 GB

16 GB

16 GB

24 GB

32 GB

32 - 64 GB

HDD (Free Space)

100 GB

250 GB

50 GB

100 GB

50 GB

500 GB


Steps to Install QMetry Reports

Step 1 - Connect to Report Server and Download the file. 

Upload the Spark_Report_Install.zip to the /opt directory of the Report server and unzip it

  • sudo su -
  • cd /opt
  • unzip Spark_Report_Install.zip
  • cd Spark_Report_Install/

Step 2 - Run the reports installer file

  • chmod +x spark-install.sh
  • sh spark-install.sh
  • The install script prompts the following options

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Wait for the script file to finish executing.

Step 3 - Add reports configuration to the apps file by executing it

  • cd /var/lib/docker/volumes/spark_report_spark-apps/_data
  • sh ConfigureSyncApp.sh 

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OptionsDetailsExample
qmetry-hostQMetry DB Host Public IP/DNS10.10.11.100
qmetry-portQMetry App MySQL DB Port. Enter 3306, unless QMetry DB port is different3306
qmetry-schemaQMetry App DB schema name. Enter : qmetryqmetry
qmetry-usernameQMetry App DB username. Enter : rootroot
qmetry-passwordQMetry App DB password. If it is unchanged from default, enter : qmetryqmetry
Reports-hostEnter the static docker IP : 10.5.0.7 as the IP address of QMetry Reports server10.5.0.7
Reports-portEnter the port where reports DB is running. Enter : 3306

3306

Reports-schemaEnter the database schema name of QMetry Reports DB - qtmanalytics
Reports-usernameEnter username of QMetry Reports DBroot
Reports-passwordEnter password of QMetry Reports DB - qmetryreports@!Nf0#qmetryreports@!Nf0#
server-portReports Sync Job runs from this port - recommended : 8000808080008080
forceSyncEnter to sync all the QMetry data to Reports DB with the current script. Always enter y at the time of fresh reports installType : y
Enter Memory to allocate in GB(s) to SparkEntered memory would be used by the sync job while running a full sync of data. Enter 3/4th of total memory available on server. For example, if memory on server is 24 GB, enter 1818

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After waiting for about a minute, command docker ps should return the following : 

Step 4 - Restart Reports Services

  • docker restart qmetry-reports qmetry-reports-db

 Step 5 - Login to QMetry with 'admin' user login, and configure the reports server URL in the configuration menu

Go to QMetry > Customization > Insight Configuration

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Your QMetry and Reports Installation is complete.

Installing Redis Caching Server

With the release of v8.5.2, QMetry is providing capability of installing Redis server. Overall performance and scalability can be improved using Redis caching. To install the Redis Server, refer to Installing Redis Caching Server.

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