In the following image, the black letters are the longest common subsequence, the red letters only occur in the first sequence, and the green letters only occur in the second sequence. Once you have the longest common subsequences, you can derive the changes (inserts, updates, and deletions) from that. So (ABD) and (ACD) are their longest common subsequences. They have 5 length-2 common subsequences: (AB), (AC), (AD), (BD), and (CD) 2 length-3 common subsequences: (ABD) and (ACD) and no longer common subsequences. From Wikipedia:įor example, consider the sequences (ABCD) and (ACBAD). This algorithm finds the longest subsequence that is common to two provided subsequences. Detection of inserted and removed items can be achieved using an algorithm called the longest common subsequence (LCS). The algorithm would simply report all array items as changed, starting from the place where an item is removed or inserted. You can have a Java program on one platform capture data from one. However, this approach cannot deal with the case when an array item is inserted or removed. Its like JSON, except its smaller and faster, and it generates native language. A naive approach will simply compare the array items one by one. Also, by using this approach, you define which schemas you want to introspect. Let's read the input JSON as JsonNode and compare: assertEquals(mapper.readTree(s1), mapper.readTree(s2)) It's important to note that even though the order of attributes in input JSON variables s1 and s2 is not the same, the equals() method ignores the order and treats them as equal. It can be useful if you have many databases and schemas. When a property contains a nested object, the function will recursively compare these child objects.Ĭomparing two arrays requires some more work. IntelliJ IDEA displays databases and schemas that you selected to be displayed in the Database tool window. When both sides are an object, the algorithm will collect the unique keys of both objects, and then iterate over those, checking whether the left and right property have the same value. The function checks the type left and right document. It allows us to specify the number of special primitives to describe exactly what a valid JSON Object will look like. andExpect(content().json(JsonUtil.The algorithm to compare two JSON documents works as follows. JSON Schema is a declarative language for validating the format and structure of a JSON Object. andExpect(content().contentTypeCompatibleWith(MediaType.APPLICATION_JSON)) JSONUnit placeholders to allow fields or values to be ignored or matched by. Throw new IllegalStateException("Invalid write to JSON:\n'" obj "'", e) Īnd my assert in test now look like this: mockMvc.perform(get(REST_URL)) Keys support all property matcher except json schema. Return getMapper().writeValueAsString(map) It is perfectly fine to ignore that values of multiple attributes, for example: void ignoringMultipleAttributesWorks() throws JSONException ) You could do more complicated stuff there if you need to. The example above always returns true, no matter what the expected value and the actual value are. In your Customization you can use whatever method you like to compare the two values. It's also possible to use path expressions like "entry.id". New Customization("timestamp", (o1, o2) -> true))) New CustomComparator(JSONCompareMode.LENIENT, For example, if you need to ignore a top-level attribute named "timestamp" use: JSONAssert.assertEquals(expectedResponseBody, responseBody,
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