SettingsProvider 它SettingsCache
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SettingsCache,如指出,SettingsProvider缓冲。这将缓冲所有当前请求访问key值及其value。此缓冲区处在内存中,读取效率较高。
SettingsProvider支持多用户概念,每一个用户都有至少三张表(System、Secure)。每一张表都存在一个SettingsCache。
1、在手机启动时,会将SettingsProvider相应的数据库中的数据表的内容缓冲进来。
private void fullyPopulateCache(DatabaseHelper dbHelper, String table, SettingsCache cache) { SQLiteDatabase db = dbHelper.getReadableDatabase(); Cursor c = db.query( table, new String[] { Settings.NameValueTable.NAME, Settings.NameValueTable.VALUE }, null, null, null, null, null, "" + (MAX_CACHE_ENTRIES + 1) /* limit */); try { synchronized (cache) { cache.evictAll(); cache.setFullyMatchesDisk(true); // optimistic int rows = 0; while (c.moveToNext()) { rows++; String name = c.getString(0); String value = c.getString(1); cache.populate(name, value); } if (rows > MAX_CACHE_ENTRIES) { // Somewhat redundant, as removeEldestEntry() will // have already done this, but to be explicit: cache.setFullyMatchesDisk(false); Log.d(TAG, "row count exceeds max cache entries for table " + table); } if (LOCAL_LOGV) Log.d(TAG, "cache for settings table '" + table + "' rows=" + rows + "; fullycached=" + cache.fullyMatchesDisk()); } } finally { c.close(); } }
2、SettingsCache extends LruCache<String, Bundle>
/** * In-memory LRU Cache of system and secure settings, along with * associated helper functions to keep cache coherent with the * database. * 在内存中缓存System,Secure的设置项,以及相关功能方法来保证和数据库的一致性。*/ private boolean mCacheFullyMatchesDisk = false; // has the whole database slurped. 标记内存LRU缓冲是否清空了整个数据库 cache.evictAll();//remove全部元素,回调entryRemoved(true,key。value)
3、putIfAbsent方法
/** * Atomic cache population, conditional on size of value and if * we lost a race. * * @returns a Bundle to send back to the client from call(), even * if we lost the race. */ public Bundle putIfAbsent(String key, String value) { Bundle bundle = (value == null) ? NULL_SETTING : Bundle.forPair("value", value); if (value == null || value.length() <= MAX_CACHE_ENTRY_SIZE) {//假设value为null,或者value的长度小于500字符 synchronized (this) { if (get(key) == null) { put(key, bundle);//bundle可能:NULL_SETTINGS、Bundle.forPair("value", value) } } }//【value不为null,且value的长度大于500,直接返回bundle,bundle为Bundle.forPair("value", value)】 return bundle; }
4、populate(填充)
/** * Populates a key in a given (possibly-null) cache. * 填充cache中的keyword */ public static void populate(SettingsCache cache, ContentValues contentValues) { if (cache == null) { return; } String name = contentValues.getAsString(Settings.NameValueTable.NAME); if (name == null) { Log.w(TAG, "null name populating settings cache."); return; } String value = contentValues.getAsString(Settings.NameValueTable.VALUE); cache.populate(name, value); }
5、检查反复
/** * For suppressing duplicate/redundant settings inserts early, * checking our cache first (but without faulting it in), * before going to sqlite with the mutation. * 在插入前,检查反复。在使用sqlite前。先检查cache * 是否为反复的值。
*/ public static boolean isRedundantSetValue(SettingsCache cache, String name, String value) { if (cache == null) return false; synchronized (cache) { Bundle bundle = cache.get(name); if (bundle == null) return false; String oldValue = bundle.getPairValue(); if (oldValue == null && value == null) return true; if ((oldValue == null) != (value == null)) return false;//奇妙代码 return oldValue.equals(value); } }
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