Some data types, such as arrays, can be deeply unequal and equivalent at the same time. The output is similar to the following: [ Patch, err := jsondiff.Compare(pod, newPod)ī, err := json.MarshalIndent(patch, "", " ") Note that when the Compare or CompareOpts functions are used, the source and target parameters are first marshaled using the encoding/json package in order to obtain their final JSON representation, prior to comparing them. Medium = corev1.StorageMediumDefaultįinally, generate the patch that represents the changes relative to the original value. Switch storage medium from memory to default. ![]() Update the image of the webserver container. Here we modify the image and the storage medium used by the pod's volume shared-data. Secondly, make some changes to the pod spec. Alternatively, if you don't require to keep the original value, you can marshal it to JSON using json.Marshal to store a pre-encoded copy of the document, and mutate the value. The corev1.Pod type defines a DeepCopy method, which is handy, but for other types, a shallow copy is discouraged, instead use a specific library, such as ulule/deepcopier. The first step is to copy the original pod value. Thereby, instead of generating the operations, just copy the source in order to apply the required changes and delegate the patch generation to the library.įor example, given the following corev1.Pod value that represents a Kubernetes demo pod containing a single container: import corev1 "k8s.io/api/core/v1" A concrete application of that would be to generate the patch returned by a Kubernetes dynamic admission controller to mutate a resource. The typical use case within an application is to compare two values of the same type that represents the source and desired target of a JSON document. Example use cases Kubernetes Dynamic Admission Controller Weight, ok := dimensions.Jsondiff is a Go package for computing the diff between two JSON documents as a series of RFC6902 (JSON Patch) operations, which is particularly suitable to create the patch response of a Kubernetes Mutating Webhook for example.įirst, get the latest version of the library using the following command: $ go get Requires Go1.14+, due to the usage of the package hash/maphash. Log.Fatal("unexpected type for dimensions") be useful to filter for a specific key/value pair like so: Use to check if the JSONB column contains some specific json. SELECT * FROM items WHERE attrs->'ingredients' ? 'Salt' The ? operator can also be used to check for the existence of a specific SELECT * FROM items WHERE (attrs->'dimensions'->'weight')::numeric 'dimensions' ? 'weight' SELECT * FROM items WHERE attrs->'name' ILIKE 'p%' You can use the returned values as normal, although you may need to type Or you can use -> to do the same thing, but this returns a TEXT value SELECT attrs->'dimensions'->'weight' FROM items Request, validation and response are the same in 2 packages, so were benchmarking only mechanism itself. APIs have 1 endpoint to create user, containing validation of request. The goal is to run benchmarks for 2 approaches and compare them. Features gjson does not validate while parsing (try a number of 1.2e3e4) although it does catch that error in validation. This repository contains 2 equal APIs: gRPC using Protobuf and JSON over HTTP. Here is an attempt to compare features and benchmarks for a few of the JSON tools for Go. The -> operator is used to get the value for a key. Compare Go JSON Not all JSON tools cover the same features which make it difficult to select a set of tools for a project. Create an index on a specific key/value pair in the JSONB column.ĬREATE INDEX idx_items_attrs_organic ON items USING gin ((attrs->'organic')) Create an index on all key/value pairs in the JSONB column.ĬREATE INDEX idx_items_attrs ON items USING gin (attrs) ![]() ![]() ![]() lowercase `true` and `false` spellings are accepted. You can insert any well-formed json input into the column. Here's a cribsheet for the essential commands: The PostgreSQL documentation recommends that you should generally use JSONB, unless you have a specific reason not too (like needing to preserve key order). JSONB also supports the ? (existence) and (containment) operators, whereas JSON doesn't. It may change the key order, and will remove whitespace and delete duplicate keys. This makes it slower to insert but faster to query. JSONB stores a binary representation of the JSON input.JSON stores an exact copy of the JSON input.PostgreSQL provides two JSON-related data types that you can use - JSON and JSONB.
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