I have to download more than 40,000 json records from my web service, but it is taking so long time to download. The downloaded data is storing into a string, but I am not able parse that string. Please tell me a solution to solve this problem.
URL: https://buzoonga.co.uk/appapi/contacts.php?user_id=531
public JSONObject getJSONFromUrl(String url) {
// Making HTTP request
try {
// defaultHttpClient
DefaultHttpClient httpClient = new DefaultHttpClient();
HttpPost httpPost = new HttpPost(url);
HttpResponse httpResponse = httpClient.execute(httpPost);
HttpEntity httpEntity = httpResponse.getEntity();
is = httpEntity.getContent();
} catch (UnsupportedEncodingException e) {
e.printStackTrace();
} catch (ClientProtocolException e) {
e.printStackTrace();
} catch (IOException e) {
e.printStackTrace();
}
try {
BufferedReader reader = new BufferedReader(new InputStreamReader(
is, "iso-8859-1"), 8);
StringBuilder sb = new StringBuilder();
String line = null;
while ((line = reader.readLine()) != null) {
sb.append(line + "\n");
}
is.close();
json = sb.toString();
} catch (Exception e) {
Log.e("Buffer Error", "Error converting result " + e.toString());
}
// try parse the string to a JSON object
try {
jObj = new JSONObject(json);
} catch (JSONException e) {
Log.e("JSON Parser", "Error parsing data " + e.toString());
}
// return JSON String
return jObj;
}
check out gzip. excellent text compressor. you are going to remove ~70% of the size :) you just have to gzip it serverside and unzip it clientside. if this overhead increases the time but the download is a third of the time, you might win in the end.
Also consider designing a better schema to reduce the size of your jsons. Like, instead of "animalBodyParts" put "abp" or something. you have not put an example of your jsons so I am just guessing.
You can use the JSONTokener
class and pass the InputStream
jObj = new JSONObject(new JSONTokener(httpEntity.getContent()));
To reduce the time to download you need to support gzipped downloads on the server side or change your JSON structure to a more compact array based format
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