我正在做一个项目,我需要通过HttpClient
从URL解析JSON。我的代码适用于少量数据的JSON对象响应。但是,当我使用相同的代码获取大量数据(超过3MB)的响应时,我遇到了问题。
这是我的代码:
import java.io.BufferedReader;
import java.io.InputStream;
import java.io.InputStreamReader;
//import java.util.HashMap;
import org.apache.http.HttpEntity;
import org.apache.http.HttpResponse;
import org.apache.http.client.HttpClient;
//import org.apache.http.client.entity.UrlEncodedFormEntity;
import org.apache.http.client.methods.HttpPost;
import org.apache.http.impl.client.DefaultHttpClient;
//import org.json.JSONArray;
import org.json.JSONException;
import org.json.JSONObject;
import android.util.Log;
import android.widget.Toast;
@SuppressWarnings("unused")
public class JSONfunctions {
public static JSONObject getJSONfromURL(String url){
InputStream is = null;
String result = "";
JSONObject jArray = null;
//http post
try{
HttpClient httpclient = new DefaultHttpClient();
HttpPost httppost = new HttpPost(url);
HttpResponse response = httpclient.execute(httppost);
HttpEntity entity = response.getEntity();
is = entity.getContent();
}catch(Exception e){
Log.e("log_tag", "Error in http connection "+e.toString());
}
//convert response to string
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();
result=sb.toString();
// Toast.makeText(getBaseContext, result, Toast.LENGTH_LONG).
}catch(Exception e){
Log.e("log_tag", "Error converting result "+e.toString());
}
try{
jArray = new JSONObject(result);
}catch(JSONException e){
Log.e("log_tag", "Error parsing data "+e.toString());
}
return jArray;
}
}
import java.util.ArrayList;
import java.util.HashMap;
import org.json.JSONArray;
import org.json.JSONException;
import org.json.JSONObject;
//import org.w3c.dom.Document;
//import org.w3c.dom.Element;
//import org.w3c.dom.NodeList;
import android.app.ListActivity;
import android.content.Intent;
//import android.content.Intent;
import android.os.Bundle;
import android.util.Log;
import android.view.View;
import android.widget.AdapterView;
import android.widget.AdapterView.OnItemClickListener;
import android.widget.ListAdapter;
import android.widget.ListView;
import android.widget.SimpleAdapter;
import android.widget.Toast;
public class ListJson extends ListActivity {
public static JSONObject json;
public static JSONArray data;
@Override
public void onCreate(Bundle savedInstanceState) {
super.onCreate(savedInstanceState);
setContentView(R.layout.list1);
ArrayList<HashMap<String, String>> mylist = new ArrayList<HashMap<String, String>>();
// String semail = "partha@excoflare.com";
// String spassword = "partha123";
// Toast.makeText(getApplicationContext(), JSONExample2.strEmail, Toast.LENGTH_LONG).show();
//Toast.makeText(getApplicationContext(), JSONExample2.strPwd, Toast.LENGTH_LONG).show();
//
json = JSONfunctions.getJSONfromURL("url here");
try{
data = json.getJSONArray("server_list");
for(int i=0;i<data.length();i++){
HashMap<String, String> map = new HashMap<String, String>();
JSONObject e = data.getJSONObject(i);
map.put("id", String.valueOf(i));
map.put("name", "" + e.getString("ServUser"));
map.put("email", "" + e.getString("ServURL"));
mylist.add(map);
}
}catch(JSONException e) {
Log.e("log_tag", "Error parsing data "+e.toString());
}
// try {
// JSONObject newObject=json.getJSONObject("subscription");
// JSONArray data1 = newObject.getJSONArray("cust_product");
//
// Toast.makeText(getApplicationContext(), data1.toString(), Toast.LENGTH_LONG).show();
//
// for(int i=0;i<data1.length();i++){
// HashMap<String, String> map1 = new HashMap<String, String>();
// JSONObject e = data.getJSONObject(i);
//
// map1.put("id", String.valueOf(i));
// map1.put("name", "" + e.getString("ServUser"));
// map1.put("email", "" + e.getString("ServURL"));
// mylist.add(map1);
// }
//
// } catch (JSONException e) {
// // TODO Auto-generated catch block
// e.printStackTrace();
// }
ListAdapter adapter = new SimpleAdapter(this, mylist , R.layout.item_list,
new String[] { "name", "email" },
new int[] { R.id.item_title, R.id.item_subtitle });
setListAdapter(adapter);
final ListView lv = getListView();
lv.setTextFilterEnabled(true);
lv.setOnItemClickListener(new OnItemClickListener() {
public void onItemClick(AdapterView<?> parent, View view, int position, long id) {
//@SuppressWarnings("unchecked")
//HashMap<String, String> o = (HashMap<String, String>) lv.getItemAtPosition(position);
// Toast.makeText(ListJson.this, "ID '" + o.get("id") + "' was clicked.", Toast.LENGTH_SHORT).show();
Toast.makeText(getApplicationContext(), parent.getItemAtPosition(position).toString(),
Toast.LENGTH_LONG).show();
// String a= parent.getItemAtPosition(position).toString();
Intent intent2= new Intent(ListJson.this, ListJson2.class);
startActivity(intent2);
}
});
}
我得到OutOfMemoryException
。我将heap_size更改为192MB,将ram大小更改为32MB,但没有运气。我该如何解决这个问题?
答案 0 :(得分:5)
JSON的大量数据必须削减成小块。例如,您的数据库中有50000个产品。然后分页API请求是明智的 - 在一次查询中获得100-500条记录的大量产品。这将解决您的问题。
这种方法更多地解决了一个问题 - 因互联网和gprs连接丢失等引起的错误。
如果API是您的,那么您可以更改它。如果没有,那么这是API设计的一大失败,您可以发送更改请求。
编辑:
做了一点阅读,发现强烈推荐用于解析大量JSON数据的负载是http://jackson.codehaus.org/(Jackson Processor)。没试过,所以无法评论这个库。还建议您将此JSON流保存到文件中(不要将其加载到内存中),然后通过块解析它。