Update fixture library in lxfree5/24/2023 Get the code of all published modules in Central Repository. This step is only applicable in case of API changes or when including a new library. To check this, review the release notes of the library from the previous to the new version.Ĭheck how these changes affect published modules These steps will generate a /tmp/api-checks.txt file detailing all changes that might exist.Įven when the api-checks tools do not find any API changes, there may be source incompatibilities of the new version with the previous ones, see here an example. japicompat /tmp/ /tmp/ | tee /tmp/api-checks.txt Java -classpath japitools.jar as /tmp/new-api apis path_to_new_jar $JAVA_HOME/jre/lib/rt.jar $JAVA_HOME/jre/lib/jsse.jar +org # change org with the topmost part of the package in the library Java -classpath japitools.jar as /tmp/old-api apis path_to_old_jar $JAVA_HOME/jre/lib/rt.jar $JAVA_HOME/jre/lib/jsse.jar +org # change org with the topmost part of the package in the library Once the prerequisites are satisfied, the upgrade process consists on the following steps:Ī new library version can change its public API. If not, lawyer needs to be asked whether the new license allows to distribute this library.If the new license is already used by any of the included libraries, no problem.If it is a different one, check in the legal/Licensing.txt file:.If it is the same as the older version, there is no problem.When upgrading a library (or including a new one), you need to check the newer version's license. But sometimes, license is changed from a version to another. Usually libraries select a license and they stick to it among different versions. class files, note it can take time in case there are many files in the jar: for f in `find -name "*class"` do javap -verbose $f | grep "major version" done | sort | uniq The following script list versions of all. Here you can find how they correspond with the currently used numbers. This is done with the javap program checking the major version value. It is also posible to check the JDK used to compile.Typically in the META-INF/MANIFEST.MF file there is information about the JDK used to compile it.Unzip the new jar: unzip new-library.jar -d /tmp/new-library.To check the JDK version used to compile this library: If the jar is compiled with a higher version, it will not be usable in instances running an older one (yes in the other way around). Note these prerequisites apply also when adding a new library.Īll jars need to be compatible with, at least, the lowest supported JDK version by Openbravo. If, however, you want to load in a ton of new records, a fixture would make more sense.If any of the following prerequisites is not satisfied, it will not be possible to upgrade the library to the newer version!! A data migration also lets you apply some checks/logic to things, via Python, so that you can target which records you update, or update different records in different ways, rather than writing lots of fixtures. A data migration might be good when you're setting just a couple of values for lots of records (eg, changing the default of a field, or filling in an empty field with data). If it does, you risk a clash and either a failure or 'incorrect' data in your DB.ĭepending on the nature of your data, it may be better to use a data migration in South. related to the above, loading data via fixtures can be a brittle way to do things unless you're sure that you new data won't arrive while you're writing your fixture.don't call your new data initial_data.json else it will be reloaded every time you syncdb or run a South migraton and will wipe out any changes made since the fixture was loaded.Yes, you can with loaddata: python3 -m django loaddata path/to/fixture/some_new_data.json How can I use the existing Django “load data” features (whether loaddata or something else similar in Django), to read serialised data, insert records if they don't exist and update them if they already exist? Specifically, can I update existing rows by specifying pk=null and using natural keys? The end state should be that all data from the data fixture should be updated in the database, no matter if the records already existed.If a record already exists (by its key) in the database, it should be updated to match the data fixture.If a record doesn't exist (by its key) in the database, it should be inserted. ![]() The “insert or update from serialised data” operation should be idempotent: Can I use the same already written features to update the database from data fixtures (or similar serialized data like a JSON document)? I know I can use Django data fixtures to provide initial data. How can I update an already populated Django database with records from a data fixture (or other serialized records)?
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