我有用於解析和管理的非常大的JSON文件。我的JSON文件中包含這樣ANDROID使用Jackson庫:如何使用索引加載對象 - 範圍從
[
{"id": "11040548","key1":"keyValue1","key2":"keyValue2","key3":"keyValue3","key4":"keyValue4","key5":"keyValue5","key6":"keyValue6","key7":"keyValue7","key8":"keyValue8","key9":"keyValue9","key10":"keyValue10","key11":"keyValue11","key12":"keyValue12","key13":"keyValue13","key14":"keyValue14","key15":"keyValue15"
},
{"id": "11040549","key1":"keyValue1","key2":"keyValue2","key3":"keyValue3","key4":"keyValue4","key5":"keyValue5","key6":"keyValue6","key7":"keyValue7","key8":"keyValue8","key9":"keyValue9","key10":"keyValue10","key11":"keyValue11","key12":"keyValue12","key13":"keyValue13","key14":"keyValue14","key15":"keyValue15"
},
....
{"id": "11040548","key1":"keyValue1","key2":"keyValue2","key3":"keyValue3","key4":"keyValue4","key5":"keyValue5","key6":"keyValue6","key7":"keyValue7","key8":"keyValue8","key9":"keyValue9","key10":"keyValue10","key11":"keyValue11","key12":"keyValue12","key13":"keyValue13","key14":"keyValue14","key15":"keyValue15"
}
]
我的JSON文件包含有關新聞網站和幾乎每天這個JSON文件將得到大幅提升的話題數據結構。
對於文件的解析我用
URL urlLinkSource = new URL(OUTBOX_URL);
urlLinkSourceReader = new BufferedReader(new InputStreamReader(
urlLinkSource.openStream(), "UTF-8"));
ObjectMapper mapper = new ObjectMapper();
List<DataContainerList> DataContainerListData = mapper.readValue(urlLinkSourceReader,new TypeReference<List<DataContainerList>>() { }); //DataContainerList contains id, key1, key2, key3..key15
我的問題是,我想在這行加載
List<DataContainerList> DataContainerListData = mapper.readValue(urlLinkSourceReader,new TypeReference<List<DataContainerList>>() { });
只JSON對象的範圍 - 只是前十點的對象,只是二十來分鐘對象 - 因爲我需要在我的應用程序中以分頁模式顯示10條新聞(所有時間我都知道需要顯示的索引10)。它完全支持加載10 000個對象,並只重複前10個對象。所以我的問題是如何在類似的方式加載 像這樣的:
List<DataContainerList> DataContainerListData = mapper.readValue(urlLinkSourceReader,new TypeReference<List<DataContainerList>>() { });
只指數(例如30至40),而在整個JSON文件中的所有對象的裝載物體擋住-TO?
問候
尋呼模式真的是一個不好的做法。把它放在一個裝載器中,這樣當你詢問時加載。 – njzk2 2013-03-06 16:37:32
這裏的問題似乎與您的數據結構有關,或者您用於獲取JSON的API(如果有)非常嚴格。 – 2013-03-06 16:43:06