在我的項目中,我使用volley來下載一個JSON流,我將其解析并顯示在列表視圖中.我使用以下方法加載我的數據：

private void loadEventData(int year, final int month) {

// get volley request queue

requestQueue = cpcApplication.getRequestQueue(getActivity());

String url = "****************?year=" + year

+ "&month=" + month;

pd = ProgressDialog.show(getActivity(), "Loading Events", "Retrieving Data from Server");

pd.setCancelable(true);

JsonObjectRequest jr = new JsonObjectRequest(Request.Method.GET, url, null, new Response.Listener() {

@Override

public void onResponse(JSONObject response) {

Log.i(TAG, response.toString());

// parse the incoming response

parseJson(response, month);

// notify the listview that the data set has changed

adapter.notifyDataSetChanged();

// set the listview at the top position

listView.setSelection(current.get(Calendar.DAY_OF_MONTH));

// dismiss the ProgressDialog

pd.dismiss();

}

}, new Response.ErrorListener() {

@Override

public void onErrorResponse(VolleyError error) {

error.printStackTrace();

// cancel the progress dialog

pd.dismiss();

// let the user know that a network connection is not available

Toast.makeText(getActivity(), "Cannot communicate with server. Check network connection.", Toast.LENGTH_LONG).show();

}

});

// add the network request to the queue

requestQueue.add(jr);

}

對此方法的第一次調用非常有效.在第二次調用中,我收到超時錯誤.當我使用以下命令時：

jr.setRetryPolicy(new DefaultRetryPolicy(

2500, DefaultRetryPolicy.DEFAULT_TIMEOUT_MS, DefaultRetryPolicy.DEFAULT_BACKOFF_MULT));

為了增加請求的時間,請求超過30秒并產生以下日志輸出：

10-19 20:53:19.746: D/Volley(17523): [2786] BasicNetwork.logSlowRequests: HTTP response for request= [lifetime=41769], [size=5467846], [rc=200], [retryCount=2]

10-19 20:53:19.796: D/dalvikvm(17523): GC_CONCURRENT freed 7462K, 26% free 24424K/33000K, paused 6ms+4ms, total 56ms

10-19 20:53:19.796: D/dalvikvm(17523): WAIT_FOR_CONCURRENT_GC blocked 51ms

10-19 20:53:19.826: I/dalvikvm-heap(17523): Grow heap (frag case) to 35.123MB for 10935708-byte allocation

10-19 20:53:19.857: D/dalvikvm(17523): GC_FOR_ALLOC freed 3K, 20% free 35100K/43680K, paused 23ms, total 28ms

10-19 20:53:19.917: D/dalvikvm(17523): GC_CONCURRENT freed 2018K, 19% free 35816K/43680K, paused 3ms+4ms, total 60ms

10-19 20:53:20.007: D/dalvikvm(17523): GC_CONCURRENT freed 4874K, 15% free 37226K/43680K, paused 2ms+3ms, total 27ms

10-19 20:53:20.007: D/dalvikvm(17523): WAIT_FOR_CONCURRENT_GC blocked 24ms

10-19 20:53:20.067: D/dalvikvm(17523): GC_FOR_ALLOC freed 5037K, 15% free 38601K/44900K, paused 19ms, total 19ms

10-19 20:53:20.117: D/dalvikvm(17523): GC_FOR_ALLOC freed 4680K, 14% free 40045K/46564K, paused 20ms, total 20ms

10-19 20:53:20.177: D/dalvikvm(17523): GC_FOR_ALLOC freed 5576K, 14% free 41572K/48272K, paused 20ms, total 20ms

10-19 20:53:20.227: D/dalvikvm(17523): GC_FOR_ALLOC freed 6133K, 15% free 43406K/50548K, paused 20ms, total 20ms

10-19 20:53:20.287: D/dalvikvm(17523): GC_CONCURRENT freed 6486K, 15% free 45029K/52428K, paused 2ms+2ms, total 24ms

10-19 20:53:20.287: D/dalvikvm(17523): WAIT_FOR_CONCURRENT_GC blocked 11ms

10-19 20:53:20.407: D/Volley(17523): [1] Request.finish: 42553 ms: [ ] http://****** 0x63ea5535 NORMAL 1

當我在瀏覽器中執行相同的請求時,只需幾秒鐘.為什么延遲和令人難以置信的內存消耗？

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