qaz | CLI tool for Templating & Managing stacks | AWS library

I've forked the sandbox you've provided. you were almost there with setFieldValue. You may just have missed some quotation marks ("nodes").

Caused by: java.lang.IllegalArgumentException: The class 'edu.kafka.producer.model.User' is not in the trusted packages: [java.util, java.lang, edu.consumer.test.model, edu.consumer.test.model.*]. If you believe this class is safe to deserialize, please provide its name. If the serialization is only done by a trusted source, you can also enable trust all (*).

Looks like the deserializer is getting its properties from somewhere else.

config.put(JsonDeserializer.TRUSTED_PACKAGES, "edu.kafka.producer.model.User, java.util, java.lang, edu.consumer.test.model, edu.consumer.test.model.*" );

'edu.kafka.producer.model.User'

You are trying to deserialize a ...producer.model.User not a ...consumer.model.User

The ...producer... is coming from type information in headers; if you want to map a ...producer... object to a ...consumer... object, you need to configure type mapping as described in the documentation.

If you are only deserializing User objects, you can set use type info to false and set the default value type. See the configuration options...

https://docs.spring.io/spring-kafka/docs/current/reference/html/#serdes-json-config

Configuration Properties

JsonSerializer.ADD_TYPE_INFO_HEADERS (default true): You can set it to false to disable this feature on the JsonSerializer (sets the addTypeInfo property).

JsonSerializer.TYPE_MAPPINGS (default empty): See Mapping Types.

JsonDeserializer.USE_TYPE_INFO_HEADERS (default true): You can set it to false to ignore headers set by the serializer.

JsonDeserializer.REMOVE_TYPE_INFO_HEADERS (default true): You can set it to false to retain headers set by the serializer.

JsonDeserializer.KEY_DEFAULT_TYPE`: Fallback type for deserialization of keys if no header information is present.

JsonDeserializer.VALUE_DEFAULT_TYPE: Fallback type for deserialization of values if no header information is present.

JsonDeserializer.TRUSTED_PACKAGES (default java.util, java.lang): Comma-delimited list of package patterns allowed for deserialization. * means deserialize all.

JsonDeserializer.TYPE_MAPPINGS (default empty): See Mapping Types.

JsonDeserializer.KEY_TYPE_METHOD (default empty): See Using Methods to Determine Types.

JsonDeserializer.VALUE_TYPE_METHOD (default empty): See Using Methods to Determine Types.

The default type's package is always trusted.

You cannot change the initial state after the reducer has been created. What you can do is dispatch an action that replaces the entire state. You can use a useEffect hook to dispatch this "REPLACE_STATE" action after the useFetch hook has returned its data.

Reducer

We can use intersect to get the intersecting 'ID' from all the datasets . Then, use that to subset the individual datasets

You can try the following, which first returns the JSON response as array and second the correct response header is set.

How about something like this:
(e.g. first find the overlapping index-values and then join the dataframes)

You can convert each of the columns with lists into str and then drop duplicates.

• Step 1: Convert each column that has lists into a string type using astype(str).
• Step 2: use drop_duplicates with the columns as strings. Since you want all duplicates to be removed, set keep=False.
• Step 3: drop the temp created astype(str) columns as you no longer need them.

The full code will be:

This may help you

You can use data-position attribute from li tag and then sort the result and add them to listWrapper again using .html() .Then , for generating random you can get the length of li and append lis using before($(".listWrapper li:eq(" + j + ")")) where j is random position .

Demo Code :