I'm reading all Objects from Salesforce environment using Java, it's working fine but below code is taking 10 mins to convert the JSON into Java ArrayList. I was thinking if I can use Java - 8 stream API to parallel the parsing logic. Below is my working code, any suggestion appreciated.
/**
* @Desc : Get All available objects(tables) from salesforce
* @return : List<SalesforceObject>
* */
public List<SalesforceObject> getAllsObjects() {
List<SalesforceObject> listsObject = new ArrayList<SalesforceObject>();
try {
// query Salesforce
final URIBuilder builder = new URIBuilder(this.sfAccess.instanceURL);
builder.setPath(appProp.salesforceObjectPath);
final HttpGet get = new HttpGet(builder.build());
get.setHeader("Authorization", "Bearer " + this.sfAccess.token);
final CloseableHttpClient httpclient = HttpClients.createDefault();
final HttpResponse queryResponse = httpclient.execute(get);
// parse
final ObjectMapper mapper = new ObjectMapper().enable(SerializationFeature.INDENT_OUTPUT);
final JsonNode queryResults = mapper.readValue(queryResponse.getEntity().getContent(), JsonNode.class);
System.out.println(queryResults);
// This line takes - 10 mins
listsObject.addAll(mapper.convertValue(queryResults.get("sobjects"), new TypeReference<List<SalesforceObject>>(){}));
return listsObject;
} catch(IOException e) {
e.printStackTrace();
} catch (URISyntaxException e) {
e.printStackTrace();
}
return null;
}
You are looking at,
return StreamSupport.stream(queryResults.get("sobjects").spliterator(), true)
.map(sObj -> mapper.convertValue(sObj, SalesforceObject.class))
.collect(Collectors.toList());
Note that your concurrency will still be limited by the number of CPU cores of your server.