Since MongoBD also uses JSON format to describe their data, we can use diff and patch to do similar things. The first part of the script is the MongoDB tutorial on how to use Pymongo and in the second part we demonstrate the extra step to review the changes before applying a patch to your MongoDB collection.Īs we discovered in the last section, diff and patch can apply to any JSON format. In this script, we demonstrate how diff and patch can be used in your MongoDB workflow. Result_patch = client.diff(schema1, schema2) Let us look at a document as a Python object: With diff and patch, we can easily compare any documents and schemas to see what has been changed. In TerminusDB, documents and schemas are represented in JSON-LD format. In this script, we demonstrate how diff will give you a Patch object back and with that object you can apply patch to modify an object and we show this for TerminusDB schema, TerminusDB documents, and JSON schema. You will need to install the TerminusDB Python client, check out here.Įnsure you have the Docker container running on localhost. Using Diff and Patch With TerminusDB Python Prerequisites Regular expressions supported for string to skip unconcerned keys or just to assert the format. Config whether it will ignore the order of items in a list or not, recursively. Here, any conflicts can be flagged and a human review can oversee these changes to ensure data accuracy in the long run. Compare jsons and print the differences (what and where they are, recursion supported). This is where diff and patch come in, where users can see a before and after state each time they submit their changes to the database. In the long run, this causes all sorts of issues with reporting, customer service, and business intelligence. Without adequate workflow and conflict measures, quite often someone's change gets squashed and as a result, data can start to become inaccurate. Trying to create a test case in robot framework. When more than one person is working on a dataset, there are often times when there is a conflict. Python comparing Json result from a function in robot Framework. And locks are a massive source of pain, not only because you can’t achieve otherwise perfectly reasonable concurrent operations, but because you risk getting stale locks and having to figure out when to release them. In applications, when two or more people are updating the same object, such as an online store, this sort of curation operation is often achieved with a lock on the object. Diff is used to construct a patch that can be applied to an object such that the final state makes sense for some value of makes sense.īut what about structured data? Do similar situations arise with structured data that require diff and patch operations? Sure they do. These foundational operations are what make git possible. A Little Background on JSON Diff and PatchĪ fundamental tool in Git’s strategy for distributed management of source code is the concept of the diff and the patch. In this demo tutorial, we will show how the diff and patch operation can be applied to monitor changes in TerminusDB schema, TerminusDB documents, JSON schema, and other document databases like MongoDB.
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