Versions Compared

Key

  • This line was added.
  • This line was removed.
  • Formatting was changed.

...

Note: A recent pull request, https://github.com/apache/incubator-trafodion/pull/869, changed the name of $MY_SQROOT to $TRAF_HOME. This page has been changed accordingly. If you are on an older code base, use $MY_SQROOT instead of $TRAF_HOME.

...

Introducing a wait in the test will wait forever until you enter a character. This is another way to make the test pause to attach the debugger to the sqlci process.

Modify an Existing Test

If you would like to add coverage for your new change, you can modify an existing test.

 

Run the test after your modifications. If you are satisfied with your results, you need to modify the EXPECTED<test number> file to reflect your new change. The standard way to do it is to copy the LOG<test number> file to EXPECTED<test number> file. See Modify Tests for more information.

Database Connectivity Services (DCS)

The DCS test suite is organized per the Maven standard.

JDBC T4 Tests

 

The code is written in Java, and is built and unit tested using Maven. The test suite organization and use follow Maven standards.

 

Instructions for setting up and running the test can be found in source tree at dcs/src/test/jdbc_test.

If using a the local_hadoop environment, use the swjdbc script to run the tests.

ODBC Tests

The code is written for the Python 2.7 unittest framework.

 

It is run via the Testr and Tox.

Code Block
languagebash
cd dcs/src/test/pytests
./config.sh -d <host>t:<port> -t # Location of your Linux ODBC driver tar file
tox -e py27

Further instructions for setting up and running the test can be found in source tree at dcs/src/test/pytests.

If using the local_hadoop environment, use the swpyodbc script to run the tests.

Functional Tests

Phoenix

 

The Phoenix tests provides basic functional tests for Trafodion. These tests were originally adapted from their counterpart atsalesforce.com.

 

The tests are executed using Maven with a Python wrapper. You can run them the same way on your own workstation instance just like the way Jenkins runs them. Do the following:

  1. Prior to running Phoenix tests, you need to bring up your Trafodion instance and DCS. You need to configure at least 2-4 servers for DCS. The tests need at least two mxosrvrs as they make two connections at any given time. We recommend configuring DCS with four mxosrvrs since we have seen situations that mxosrvrs do not get released in time for the next connection if there are only two mxosrvrs.
  2. Run the Phoenix tests from source tree.

    Code Block
    languagebash
    cd tests/phx
    phoenix_test.py --target=<host>:<port> --user=dontcare --pw=dontcare --targettype=TR --javahome=<jdk> --jdbccp=<jdir>/jdbcT4.jar
      • <host>: Your workstation name or IP address.

      • <port>: your DCS master port number.

      • <jdk>: the directory containing the jdk1.7.0_21_64 or later version of the JDK.

      • <jdir>: the directory containing your JDBC T4 jar file. (export/lib if you downloaded a Trafodion binary package.)

     

    The source code can be found in phoenix_test/src/test/java/com/trafodion/phoenix/end2end. These are JDBC tests written in Java.

     

  3. Analyze the results. The test results can be found in phoenix_test/target/surefire-reports. If there are any failures, they would come with file names and line numbers.

If using the local_hadoop environment, use the swphoenix script to run the tests.

Anchor
test-automated-tests
test-automated-tests

Automated Tests

 

Automated tests take several hours to complete from when your pull-request was approved by a committer or updated with a new commit.

 

Normally, the Traf-Jenkins user will post a message in the pull-request with a link to the results. You can also check the Jenkins server to see the status even before the tests are finished. Look in the Build History table for the build/test job that matches your pull-request. For example, the master branch tests are located at: https://jenkins.esgyn.com/job/Check-PR-master/

Reviewing Logs

There are two approaches to reviewing logs.

 

Approach 1

  • The first two columns in build-job table are links to the specific sub-job. Click on the link to drill down.
  • The console log of each job has a link to the log file directories (close to the top). Look for Detailed logs.

 

Approach 2

 

 

More Information

The check tests do not include all of the automated daily tests. If you (or another contributor) want, you can run additional tests on the pull request. Refer Automated Test Setup below for more information.

Anchor
create-test-automated-test-setup
create-test-automated-test-setup

Automated Test Setup

To be done

...