How to reduce input data in MAP/reduce script in lots of 10 elements

AI generated answer (using internal Slack threads):

In order to reduce input data in a Map/Reduce script in lots of 10 elements, you can use the concept of chunking in the Map stage. This can be achieved by using the modulo operator to create different keys for each chunk of data. Here's a general idea of how you can do it: 1. In the

getInputData

stage, execute your search and return the results. 2. In the

map

stage, you can use the

mapContext.key

for the modulo calculation for chunking. You can add the last digit of the internal id or something similar to split it into 10 chunks. For example, if you have 100 records, you can create 10 keys each representing a chunk of 10 records. This will help to distribute the data evenly across different chunks. 3. In the

reduce

stage, you can then process each chunk of data separately. This will help to manage the governance usage as each reduce stage has a separate governance limit. Here's a pseudo code example:

javascript
function getInputData() {
    // Execute your search and return the results
}

function map(context) {
    // Use the mapContext.key for the modulo calculation for chunking
    var recordId = context.key;
    var chunkKey = recordId % 10; // This will give you a key in the range of 0-9
    context.write(chunkKey, context.values);
}

function reduce(context) {
    // Process each chunk of data separately
    var chunkData = context.values;
    // Process the chunkData
}

Remember, this is a general idea and you might need to adjust it according to your specific use case. Also, keep in mind that each stage of a Map/Reduce script has its own governance usage limit. So, you need to ensure that your script does not exceed these limits. ****** Disclaimer: This response was generated by an artificial intelligence assistant based on previous conversations from multiple Slack channels, and may contain inaccuracies or mistakes. ******