![]() You will have to force data to upper or lower on both sides of text comparisons if case is not important to the operation and there is a chance of it being different. It is worth noting that for data comparisons, PostgreSQL is case sensitive and there is no option to change this behaviour. Remember, PostgreSQL is normally case sensitive! See With this issue in mind, I've decided to always ensure that my PostgreSQL user While I explicitlyĮntered the user name jenkins_TEST_SU, PostgreSQLĬreated the user as jenkins_test_su in all lowercase characters.Ĭhanging the command to connect to the following string worked without issue.įor quite some time with no resolution. The problem was how PostgreSQL created the user above. I was initially suspicious of my Docker configuration and how I was loading the pg_hba.confįile referenced in the error above, but that wasn't the issue. ![]() Psql: FATAL: password authentication failed for user "jenkins_TEST_SU"įATAL: no pg_hba.conf entry for host "192.168.0.100", user "jenkins_TEST_SU", database "postgres", SSL off I then tried to log in using the new Super User account I created aboveĪnd received an unexpected error. $ psql -U admin_user -h 127.0.0.1 -p 5432 postgres -c "CREATE ROLE jenkins_TEST_SU LOGIN PASSWORD 'reallysecurepassword' SUPERUSER" I created the user from psql at command line using this command. In doing this I decided to create a new super user account for Jenkins to use in these cases. Jenkins spool up a test PostgreSQL container and restore the recent backups for me. Is not a backup at all, I decided to have I have a local Jenkins instance that takes backups of a number of PostgreSQL databases. It was a bit more difficult to troubleshoot this time since I wasĮrroneously blaming the issue on being related to running inside a Docker container, which Where I didn't expect so I wanted to document this before I forget what happened. The first time that PostgreSQL has caught me off guard with being Ran into a headache caused by the case sensitiveness of PostgreSQL. The following query is using simple CASE expression, where it checks the value of the column and returns the resultset as per value.By Ryan Lambert - Published July 12, 2015 Let's use the following Employee table to understand the CASE expression. ![]() The data types of all the result expressions must be convertible to a single output type, otherwise CASE expression will raise error. If the ELSE clause is not defined for CASE expression, then it will return NULL. ![]() If of all the conditions evaluates to be false, then it returns else_result that is in the ELSE clause. If the condition evaluates to false, the CASE expression keeps on evaluating the next condition until it finds the expression to be evaluated as true. If the condition evaluates to true, the CASE expression will return the corresponding result set for that condition and stop evaluating the next expression. The CASE expression evaluates a list of conditions in sequence. In the above syntax, every condition is a boolean expression that evaluates to be either true or false. ![]()
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