xact | multi-way atomic compare-and-swap with x64/TSX | iOS library

The plan is using img_products_unicas as the driving table and the engine is reading it whole; that's bound to be slow.

My guess is that using products could be better, since it has two filtering predicates. If you agree, there are a couple of tricks you can use:

1. Make sure the following indexes exist:

   • products (status, price)
   • files (product_id, main)
   • img_products_unicas (product_id)
   • categories (category_id) -- I would guess this one exists

2. If the query is still choosing img_products_unicas as the driving table, try changing the join predicate (by adding + 0 * f.product_id) to:

It is not the same. It decides when errors are thrown.

You should always use SET XACT_ABORT ON, because it is more consistent; almost always, an error will stop execution and throw an error. Else, half things throw errors and the other half continue execution.

There is a great article about this whole subject on Erland Sommarskog's site, and if you go at this point you will see a table which describes this strange behaviour. In conclusion, I recommend the General Pattern for Error Handling, as it is very well documented as well as provide you the opportunity to tweak it according to its own documentation.

We had 2 options to the problem (note, our airflow chart is the community chart version 8.5.2), and we chose the 1st option. When looking back, option 2 would have been easier, and would have required almost no change, once the next release has it fixed properly.

1. Given the fact that community airflow chart version 8.5.2 built-in pgbouncer defaults the auth type to a fixed value, which if the pgbouncer connects to azure postgresql single server, it will fail, one can choose to not use pgbouncer provided by the 8.5.2 version chart, i.e. pgbouncer=false, and then deploy their own pgbouncer (use helm and kubecetl etc), and in the airflow values.yaml file point externalDatabase host to the pgbouncer service. we chose this approach:

EXPLAIN ANALYSE applied to your example provides something like :

Okay, so the issue was that I was trying to log in as one of the admin_users(aakashverma) but I hadn't mentioned them in pgbouncer_user.txt file - my auth_file. I only had my auth_user in that file initially.

Mentioning them in each line in the file (just the username was enough as I'm using auth_query) like so

I'm not familiar with Weblogic, but in WebSphere I configured DataSource as XA, JMS connection factory as XA. And used XA transaction manager from JNDI to wrap similar to yours call into one global JTA transaction.

I also can suggest to look into this article how to avoid XA transactions: https://www.infoworld.com/article/2077963/distributed-transactions-in-spring--with-and-without-xa.html

Considering that the company code table should not be too long (in any sanely configured system), I would load it into the application server and do the comparison on the ABAP layer instead of the database layer.

Based on error log snippet, I could see that the error is related to the deadlock in the DB transactions. I think Artifactory is running with the default derby DB. The below error log snippet tells that there was deadlock situation in Derby,

Caused by: org.apache.derby.iapi.error.StandardException: A lock could not be obtained due to a deadlock, cycle of locks and waiters is: Lock : ROW, NODES, (2975,6) Waiting XID : {230127895, S} , APP, SELECT * FROM nodes WHERE repo = ? AND node_path = ? AND depth = ? Granted XID : {230127897, X} Lock : ROW, NODES, (991,272) Waiting XID : {230127897, S} , APP, SELECT * FROM nodes WHERE repo = ? AND node_path = ? AND depth = ? Granted XID : {230127895, X}

I had a similar JenkinFile which deploys Artifacts to Artifactory and never faced this issue. I believe a simple restart of Artifactory should be enough to remove the Derby DB from the deadlock state.

follow this guide Upgrading Android Apache Cordova and it'll help you in part 1 of updating your config.xml file. Their Documentation is pretty simple to follow along.