I have a Map that holds a name and an ID for an object. From my service, I am getting a List where each JsonNode contains a name, and should contain an id. I want to use the Map (which is authoritative) to validate the id that corresponds to the name in the JsonNode. For example:
JsonNode Map
Mark 23 Mark 23
Chris 43 Chris 43
Ralph 21 Ralph 31
In this case, the first two match, the last doesn't. I want to iterate through all the JsonNodes and the Map and collect all the the names where the node id doesn't match the Map id.
I can make it work with the following code:
// stream all the nodes, filter the nodes with either no "id" or with an id <> expected,
// collect into a list.
nodes.stream().filter(r -> {
String name = r.get("name").asText();
if (r.has("id")) {
Long nodeId = r.get("id").asText();
Long expectedId = map.get(name);
if (expectedId == null) {
return false;
}
if (nodeId != map.get(name)) {
return true;
} else {
return false;
}
} else { //no id in node
return true;
}
}).map(r-> r.get("$id").asText()).collect(Collectors.toList());
There will be no more than 2000 JsonNodes in the list, usually much less (< 100). Does it make sense to parallelize this? If so, would using parallelStream be a good way to go? If I use parallelStream, I will create my own ForkJoinPool to better control the pool size. If not parallelStream, then would futures (like CompletableFutures) be a better way to go?
Thanks
Processing list of size 2000 should not take much time, either you can use single stream like this
nodes.stream()
.filter(r->r.has("id") &&
!r.get("id").asText().equals(map.get(r.get("name").asText())))
.map(r-> r.get("id").asText()).collect(Collectors.toList());
Or parallelStream, but parallel stream can consume all available processors during the execution
nodes.parallelStream()
.filter(r->r.has("id") &&
!r.get("id").asText().equals(map.get(r.get("name").asText())))
.map(r-> r.get("id").asText()).collect(Collectors.toList());