이름 : Ebony
이메일 : ebony_colson@att.net
연락처 :
예식일 : Atomic Commit in SQLite
문의내용:

For (2) it iterates over all the store groups outputting the new stores (in various different cases) for each & if successful conditionally deletes the old stores. NEXT iterates a single iteration over the index preceding to PADDING or upon error immediately to UNPADDED. This fastpath iterates over a new array, sorted by newly-computed priority, of allocno’s to allocate a valid register, per the instruction’s constraints & any conflicts. Or it might (with some debugging info) iterate over the allocnos ("border" ones conditionally first) to associate allocnos to the corresponding instructions. After which it’ll iterate over the instructions again to tidyup any messy JUMP instructions any of that reordering left behind. Defining two instructions seems to be the best of both worlds. We could use two or more bytes to store the operand, but that makes every constant instruction take up more space. There are ideas about TDE which want to change the format to reserve some space for auth tag or other things like extended checksums.

Discussion about page changes to store extended checksums or 64bit XID or auth tag. Heikki- Reducing the page size and just flush have a page rather than full page and get same benefit? Heikki- What if we stop writing those hint bits? Matthias- Idea to reduce hint bit writes in the WAL from changes with checksums enabled. Andres- Right now there's a big performance hit from using checksums in some cases because WAL logging of hint bits causing a performance hit. Patch proposed to make possible to do batch insert in TAM and allow to buffer for later insertion and could use that to reduce WAL size and improve performance of compression. Andres- if you start to write WAL that's not page-aligned then performance suffers really badly. Then it defines a ".gasversion" symbol & any others defined on the commandline, saving them all to a hashtable. When record is split across pages because it's too large or just didn't fit, right now we copy the whole record into a separate buffer that is allocated and then we checksum and then we decode it. Then it tidies up after itself & optionally outputs profiling info. For example, a banking application might wish to check that the sum of all credits in one table equals the sum of debits in another table, Pool Table Size when both tables are being actively updated.

Or it may check whether the use of alloca() stays within fixed runtime limits: it’s not in a loop & it’s argument has a max or smallish constant value. For each loop it initializes it’s IV analysis & verifies it can optimize this loop. Individual applications can supply their own memory allocators to SQLite at start-time. If a crash or power loss does occur and a hot journal is left on the disk, it is essential that the original database file and the hot journal remain on disk with their original names until the database file is opened by another SQLite process and rolled back. On Unix, the directory that contains the super-journal is also synced in order to make sure the super-journal file will appear in the directory following a power failure. 4. Game preference: Determine the primary game you will be playing on the pool table. But until this is known for certain, SQLite will take the conservative approach and assume the worst. SQLite version 3.6.23.1 is a patch release to fix a bug in the offsets() function of FTS3 at the request of the Mozilla. Version 3.1.6 fixes a critical bug that can cause database corruption when inserting rows into tables with around 125 columns.

2.2 (earlier versions can have bugs with MIPS16) ticket 16881 - Ubuntu 14.03.x LTS uses QEMU 2.0 which is has this bug. Indexes are not aware of transactions and don't use transactions, maybe we can eliminate transaction IDs from index updates. Looking at what changes we actually can make, for instance- transaction IDs are included but few cases where we actually need transaction ID. We can find out if another process has modified the database by checking that counter. Can be done with custom plans now but think that a lot of TAMs would want this and therefore would be good common infrastructure for that. Would be useful infrastructure. Even if there is a torn page, you still redo the record. It is very difficult to enforce business rules regarding data integrity using Read Committed transactions because the view of the data is shifting with each statement, and even a single statement may not restrict itself to the statement's snapshot if a write conflict occurs. Matthias- the information on the page, while freezing we aren't changing the data of the page, whatever torn bytes there are going to be aren't changing the bytes that are meaningful.