SQLite一次性读取过多记录会造成内存溢出OutOfMemoryError

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Android 2.3.3
Eclipse Version: 3.7.0
LogCat
　　

LogCat  报错信息：

　　


03-15 11:34:43.163: ERROR/AndroidRuntime(17173): java.lang.OutOfMemoryError
03-15 11:34:43.163: ERROR/AndroidRuntime(17173):     at android.database.CursorWindow.getString_native(Native Method) 、03-15 11:34:43.163: ERROR/AndroidRuntime(17173):     at android.database.CursorWindow.getString(CursorWindow.java:329)
03-15 11:34:43.163: ERROR/AndroidRuntime(17173):     at android.database.AbstractWindowedCursor.getString(AbstractWindowedCursor.java:49)
03-15 11:34:43.163: ERROR/AndroidRuntime(17173):     at com.tmall.nokia.db.RecordDBHelper.query(RecordDBHelper.java:140)
03-15 11:34:43.163: ERROR/AndroidRuntime(17173):     at com.tmall.nokia.manage.RecordDBopt.get(RecordDBopt.java:80)
03-15 11:34:43.163: ERROR/AndroidRuntime(17173):     at com.tmall.nokia.manage.RecordMessage.sendAll(RecordMessage.java:55)
03-15 11:34:43.163: ERROR/AndroidRuntime(17173):     at com.tmall.nokia.Check.run(Check.java:456)
03-15 11:34:43.163: ERROR/AndroidRuntime(17173):     at java.lang.Thread.run(Thread.java:1019)
　　同时有报错信息

03-15 11:30:21.763: ERROR/CursorWindow(17173): need to grow: mSize = 1048576, size = 37, freeSpace() = 5, numRows = 6974
03-15 11:30:21.773: ERROR/CursorWindow(17173): not growing since there are already 6974 row(s), max size 1048576
03-15 11:30:21.804: ERROR/Cursor(17173): Failed allocating 37 bytes for text/blob at 6973,3
　　或
　　


03-15 11:34:40.463: ERROR/CursorWindow(4647): need to grow: mSize = 1048576, size = 72, freeSpace() = 18, numRows = 6974
03-15 11:34:40.473: ERROR/CursorWindow(4647): not growing since there are already 6974 row(s), max size 1048576
03-15 11:34:40.543: ERROR/CursorWindow(4647): The row failed, so back out the new row accounting from allocRowSlot 6973
03-15 11:34:40.543: ERROR/Cursor(4647): Failed allocating fieldDir at startPos 0 row 6973
 　　发生错误原因分析：
　　读取数据库的缓存大约为1M，CursorWindow一次性打开数据太多，造成内存溢出。
　　数据库中Record表的数据较多，大概有两万条，从以上错误信息，可以看出，大约读取到6974条时报错。 
　　解决办法：
　　先查询Record表的数据量，如果过大，做分批处理，每次处理一定量的数据，避免读取更多数据造成内存溢出。