From 13fda80abac21c16b65a754e2ce1f914d6c2b203 Mon Sep 17 00:00:00 2001 From: Omooo <869759698@qq.com> Date: Tue, 15 Jan 2019 10:19:27 +0800 Subject: [PATCH] update SQLite --- blogs/SQLite.md | 55 ++++++++++++++++++++++++++++++++++++++++++++-- images/SQLite.png | Bin 133101 -> 251262 bytes 2 files changed, 53 insertions(+), 2 deletions(-) diff --git a/blogs/SQLite.md b/blogs/SQLite.md index c552132..1371ac3 100644 --- a/blogs/SQLite.md +++ b/blogs/SQLite.md @@ -9,8 +9,13 @@ Android 数据持久化之 SQLite - 基本使用 - SQLiteOpenHelper - SQLiteDatabase + - ORM + - greenDAO + - Room + - 进程与线程并发 - 常见问题 - 数据库升级之更改表名、增删改字段 + - SQLiteDatabaseLockedException - 优化建议 - 事务 - 建立索引 @@ -18,7 +23,7 @@ Android 数据持久化之 SQLite #### 思维导图 -![](https://i.loli.net/2018/12/13/5c11cb9de011f.png) +![](https://raw.githubusercontent.com/Omooo/Android-Notes/master/images/SQLite.png) #### 基本使用 @@ -58,6 +63,40 @@ public class MySQLiteHelper extends SQLiteOpenHelper { sqLiteDatabase.close(); ``` +#### ORM + +大部分为了提高开发效率,都会引入 ORM 框架,ORM 即对象关系映射,用面向对象的概念把数据库中表和对象关联起来。 + +Android 中最常用的 ORM 框架有 greenDAO 和 Room,使用 ORM 框架很简单,但是易用性是需要牺牲部分执行效率为代价的。 + +#### 进程与线程并发 + +SQLiteDatabaseLockedException 是会经常遇到的一个问题,归根结底是因为并发导致,而 SQLite 的并发有两个维度,一个是多进程并发,一个是多线程并发。 + +##### 多进程并发 + +SQLite 默认是支持多进程并发操作的,它通过文件锁来控制多进程的并发。多进程可以同时获取 SHARED 锁来读取数据,但是只有一个进程可以获取 EXCLUSIVE 锁来写数据库。 + +在 EXCLUSIVE 模式下,数据库连接在断开前都不会释放 SQLite 文件的锁,从而避免不必要的冲突,提高数据库访问的速度。 + +##### 多线程并发 + +相比多进程,多线程的数据库访问可能会更加常见。SQLite 支持多线程并发模式,系统 SQLite 会默认开启多线程 Multi-thread 模式。 + +跟多进程的锁机制一样,为了实现简单,SQLite 锁的粒度都是数据库文件级别,并没有实现表级甚至行级的锁。还有需要说明的是,同一个句柄同一时间只有一个线程在操作,这个时候我们需要打开连接池 Connection Pool。 + +跟多进程类似,多线程可以同时读取数据库数据,但是写数据依然是互斥的。SQLite 提供了 Busy Retry 的方案,即发生阻塞时会触发 Busy Handler,此时可以让线程休眠一段时间后,重新尝试操作。 + +为了进一步提高并发性能,我们还可以打开 WAL(Write-Ahead Logging)模式。WAL 模式会将修改的数据单独写到一个 WAL 文件中,同时也会引入 WAL 日志文件锁。通过 WAL 模式读和写可以完全的并发执行,不会相互阻塞。 + +``` +PRAGMA schema.journal_mode = WAL +``` + +**但是需要注意的是,写之间仍然不能并发。**如果出现多个写并发的情况,依然有可能出现 SQLiteDatabaseLockedException,这个时候可以让应用捕获这个异常,然后等待一段时间后重试。 + +总的来说,通过连接池与 WAL 模式,可以很大程度上增加 SQLite 的读写并发,大大减少由于并发导致的等待耗时,建议在应用中尝试开启。 + #### 常见问题 ##### 数据库升级之更改表名、增删改字段 @@ -147,6 +186,12 @@ SQLite 默认会为每个插入、更新操作创建一个事务,并且在每 这样,如果连续插入一百次数据实际是创建事务 -> 执行语句 -> 提交 这个过程被重复执行了一百次。如果我们显示的创建事务 -> 执行一百条数据 -> 提交 会使得这个创建事务和提交过程只做了一次,通过这种一次性事务可以使得性能大幅提升。尤其当数据库位于 SD 卡时,时间上能节省两个数量级左右。 +##### 页大小与缓存大小 + +数据库就像一个小文件系统,事实上它内部也有页和缓存的概念。 + +对于 SQLite 的 DB 文件来说,页是最小的存储单位。跟文件系统的页缓存一样,SQLite 会将读过的页缓存起来,用来加快下一次读取速度,页大小默认是 1024 Byte,缓存大小默认是 1000 页。建数据库的时候,就提前选择 4KB 作为默认的 page size 以获得更好的性能。 + ##### 其他优化 1. 语句拼接使用 StringBuilder 替代 String @@ -161,6 +206,12 @@ SQLite 默认会为每个插入、更新操作创建一个事务,并且在每 5. 异步线程 +##### 总结 + +通过引入 ORM,可以大大的提升开发效率;通过 WAL 模式和连接池,可以提高 SQLite 的并发性能;通过正确的建立索引,可以提升 SQLite 的查询速度;通过调整默认的页大小和缓存大小,可以提升 SQLite 的整体性能。 + #### 参考 -[Android中数据库Sqlite的性能优化](https://www.cnblogs.com/daishuguang/p/4015478.html) \ No newline at end of file +[Android中数据库Sqlite的性能优化](https://www.cnblogs.com/daishuguang/p/4015478.html) + +[http://huili.github.io/sqlite/sqliteintro.html]() \ No 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