我想将收件箱中的所有消息存储到 sdcard 中,稍后检索并将它们恢复到收件箱中。我已经成功备份消息并将它们存储到 sdcard 中,但我不知道如何检索它们返回并恢复到收件箱。这是我用来备份短信的代码:
private void backupSMS()
{
smsBuffer.clear();
Uri mSmsinboxQueryUri = Uri.parse("content://sms");
Cursor cursor1 = getContentResolver().query(
mSmsinboxQueryUri,
new String[] { "_id", "thread_id", "address", "person", "date",
"body", "type" }, null, null, null);
//startManagingCursor(cursor1);
String[] columns = new String[] { "_id", "thread_id", "address", "person", "date", "body",
"type" };
if (cursor1.getCount() > 0)
{
String count = Integer.toString(cursor1.getCount());
Log.d("Count",count);
while (cursor1.moveToNext())
{
String messageId = cursor1.getString(cursor1
.getColumnIndex(columns[0]));
String threadId = cursor1.getString(cursor1
.getColumnIndex(columns[1]));
String address = cursor1.getString(cursor1
.getColumnIndex(columns[2]));
String name = cursor1.getString(cursor1
.getColumnIndex(columns[3]));
String date = cursor1.getString(cursor1
.getColumnIndex(columns[4]));
String msg = cursor1.getString(cursor1
.getColumnIndex(columns[5]));
String type = cursor1.getString(cursor1
.getColumnIndex(columns[6]));
smsBuffer.add(messageId + ","+ threadId+ ","+ address + "," + name + "," + date + " ," + msg + " ,"
+ type);
}
generateCSVFileForSMS(smsBuffer);
}
}
private void generateCSVFileForSMS(ArrayList<String> list)
{
try
{
String storage_path = Environment.getExternalStorageDirectory().toString() + File.separator + "Velosys"+".csv";
FileWriter write = new FileWriter(storage_path);
write.append("messageId, threadId, Address, Name, Date, msg, type");
write.append('\n');
for (String s : list)
{
write.append(s);
write.append('\n');
}
write.flush();
write.close();
}
catch (NullPointerException e)
{
System.out.println("Nullpointer Exception "+e);
// e.printStackTrace();
}
catch (IOException e)
{
e.printStackTrace();
}
catch (Exception e)
{
e.printStackTrace();
}
}
我搜索了很多但无法找到从 SdCard 的 .csv 文件恢复短信的方法。请帮助我。在此先感谢。
最佳答案
不是查询数据库,而是使用 bulkInsert 的插入将行插入其中。我相信您还需要在 list 中请求对该数据库的写入权限。
关于android - 如何从 SD 卡恢复短信到收件箱?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/14394699/