优化数千个 SQLite 查询 android

Question

我有这个任务，我需要查询每个联系人的所有详细信息并备份它。

前 770 个联系人需要 5-6 秒来加载，而在 770 个联系人之后，每个联系人需要一秒钟以上的时间来查询所有数据。我知道这是一个复杂的查询，但速度太慢了。有什么办法可以优化吗？

代码

// This contacts array typically contains more than a thousand items in it, even more
contacts.forEach {
val lookupKey = it.lookupKey
queryContacts(lookupKey)
}

fun queryContacts(lookupKey: String) {
    val contact = Contact()
    val contactsCursor = resolver.query(CONTENT_URI, arrayOf(_ID, DISPLAY_NAME, HAS_PHONE_NUMBER), CONTACTS_ALL_DETAILS_SELECTION, arrayOf(lookupKey), null)

    if (contactsCursor.count > 0) {

        while (contactsCursor.moveToNext()) {

            val contactId = contactsCursor.getString(contactsCursor.getColumnIndex(_ID))
            val name = contactsCursor.getString(contactsCursor.getColumnIndex(DISPLAY_NAME))
            contact.name = name

            val hasPhoneNumber = Integer.parseInt(contactsCursor.getString(contactsCursor.getColumnIndex(HAS_PHONE_NUMBER)))

            // This is to read all phone numbers associated with the contact
            val phoneNumbers = arrayListOf<String>()
            if (hasPhoneNumber > 0) {
                val phoneCursor = contentResolver.query(PHONE_CONTENT_URI, null, "$PHONE_CONTACT_ID = ?", arrayOf(contactId), null)
                while (phoneCursor.moveToNext()) {
                    phoneNumbers.add(phoneCursor.getString(phoneCursor.getColumnIndex(NUMBER)))
                }
                phoneCursor.close()
            }
            contact.phoneNumbers.addAll(phoneNumbers)

            // Read every email id associated with the contact
            val emailCursor = contentResolver.query(EMAIL_CONTENT_URI, null, "$EMAIL_CONTACT_ID = ?", arrayOf(contactId), null)

            val emailIds = arrayListOf<String>()
            while (emailCursor.moveToNext()) {

                val email = emailCursor.getString(emailCursor.getColumnIndex(DATA))
                emailIds.add(email)
            }
            emailCursor.close()
            contact.emails.addAll(emailIds)

            val columns = arrayOf(
                    ContactsContract.CommonDataKinds.Event.START_DATE,
                    ContactsContract.CommonDataKinds.Event.TYPE,
                    ContactsContract.CommonDataKinds.Event.MIMETYPE)

            val where = ContactsContract.CommonDataKinds.Event.TYPE + "=" + ContactsContract.CommonDataKinds.Event.TYPE_BIRTHDAY +
                    " and " + ContactsContract.CommonDataKinds.Event.MIMETYPE + " = '" + ContactsContract.CommonDataKinds.Event.CONTENT_ITEM_TYPE + "' and " + ContactsContract.Data.CONTACT_ID + " = " + contactId

            val selectionArgs = arrayOf<String>()
            val sortOrder = ContactsContract.Contacts.DISPLAY_NAME

            val birthdayCur = contentResolver.query(ContactsContract.Data.CONTENT_URI, columns, where, selectionArgs, sortOrder);
            val birthayList = arrayListOf<String>()
            if (birthdayCur.count > 0) {
                while (birthdayCur.moveToNext()) {
                    val birthday = birthdayCur.getString(birthdayCur.getColumnIndex(ContactsContract.CommonDataKinds.Event.START_DATE))
                    birthayList.add(birthday)
                }
            }
            birthdayCur.close()
            contact.dates.addAll(birthayList)
        }

    }

    contactsToBackup.add(contact)
    contactsCursor.close()

}

如您所见，整个复杂的查询过程被调用了 1000 多次。我该如何改进？

Answer 1

你真的不需要optimise thousands of SQLite queries你需要的是将那数千个查询迁移到一个大查询中。

我假设这部分：

contacts.forEach {
val lookupKey = it.lookupKey
queryContacts(lookupKey)
}

实际上跑遍了设备上的所有个联系人，如果是这样，你可以这样做：

Map<Long, Contact> contacts = new HashMap<>();

String[] projection = {Data.CONTACT_ID, Data.DISPLAY_NAME, Data.MIMETYPE, Data.DATA1, Data.DATA2, Data.DATA3};
String selection = Data.MIMETYPE + " IN ('" + Phone.CONTENT_ITEM_TYPE + "', '" + Email.CONTENT_ITEM_TYPE + "', '" + Event.CONTENT_ITEM_TYPE + "')";
Cursor cur = cr.query(Data.CONTENT_URI, projection, selection, null, null);

while (cur != null && cur.moveToNext()) {
    long id = cur.getLong(0);
    String name = cur.getString(1);
    String mime = cur.getString(2); // email / phone / event
    String data = cur.getString(3); // the actual info, e.g. +1-212-555-1234
    int type = cur.getInt(4);

    Log.d(TAG, "got " + id + ", " + name + ", " + data);

    Contact contact;
    if (contacts.containsKey(id)) {
        contact = contacts.get(id);
    } else {
        contact = new Contact();
        contact.name = name;
        contacts.put(id, infos);
    }

    switch (mime) {
        case Phone.CONTENT_ITEM_TYPE: 
            contact.addPhone(data, type); // you'll need to add this method
            break;
        case Email.CONTENT_ITEM_TYPE: 
            contact.addEmail(data, type); // you'll need to add this method
            break;
        case Event.CONTENT_ITEM_TYPE: 
            contact.addBirthday(data, type); // you'll need to add this method
            break;
    }
}

优化数千个 SQLite 查询 android

Optimise thousands of SQLite queries android

android

contactscontract

android-contentprovider

android-contacts

kotlin