ZBlk* objects are intermediate ZODB object in between data stored in
ZODB and memory pages managed by virtmem. As such, after they do their
job to either load data from DB to memory, or store from memory to DB,
it is not needed to keep them alive with duplicate content thus only
wasting memory.

ZBlk0 cares about this detail via "deactivating" ._v_blkdata in
loadblkdata() and __getstate__() prologues.

ZBlk1 did the same for load path in loadblkdata() prologue, but for
.__getstate__() it was not directly possible, because for ZBlk1 the
state is IOBTree, not one non-persistent object, and thus it first needs
to be processed by ZODB together with its subobjects on its way to
storage and only then all they deactivated.

So 13c0c17c (bigfile/zodb: Format #1 which is optimized for small
changes) only put TODO for memory-page -> DB path about not wasting
memory this way.

But the problem is relatively easy to solve:

    - we can deactivate ZData objects (leaf objects in ZBlk1.chunktab
      btree) by hooking into ZData.__getstate__() prologue;

    - we also need to care to deactivate chunks right away, which
      setblkdata() loaded to compare .data and found them to be not
      changed

This way we do not waste memory keeping intermediate ZData objects alive
with the same content as memory page after commit.

/cc @Tyagov

ZBlk1.setblkdata() has logic to detect CHUNKSIZE change, and if so
recreate whole chunktab from scratch for simplicity. There was a thinko
however - len(chunk.data) == CHUNKSIZE is ok and actually very often
happens when data does not have zeroes.

Because of this off-by-1 comparison mistake, ZData objects were
constantly created and thrown out instead of being reused which led to
fast ZODB growth.

Fix it.

/reported-by @Tyagov

Our current workloads are mostly a lot of small data changes and this is what
ZBlk1 was created for. Yes it has larger overhead for accessing data, but we
already painted the way how to handle this in 13c0c17c (bigfile/zodb: Format #1
which is optimized for small changes) -> move data deduplication/management to
server side.

So be it ZBlk1 the default for now.

/cc @Tyagov, @klaus

We check all pairs of possible formats and for every pair write some
data at file 0 block, check that it is in source format; then change
default format, write another data, check that file.blktab[0] changed
its type.

I.e. with this test we verify that the we can read data in old format
and change it incrementally to new. Or the other way, if data is in new
format, and we decide to migrate to old one, it also works.

/cc @Tyagov, @klaus

Our current approach is that each file block is represented by 1 zodb
object, with block size being 2M. Even with trailing \0 trimming, which
halves the overhead on average, DB size grows very fast if we do a lot
of small appends or changes. So another format needs to be introduced
which has lower overhead for storing small changes:

In general, to represent BigFile as ZODB objects, each file block could
be represented separately either as

    1) one ZODB object, or          (ZBlk0 - this what we have already)
    2) group of ZODB objects        (ZBlk1 - this is what we introduce)

with top-level BTree directory #blk -> objects representing block.

For "1" we have

    - low-overhead access time (only 1 object loaded from DB), but
    - high-overhead in terms of ZODB size (with FileStorage / ZEO, every change
      to a block causes it to be written into DB in full again)

For "2" we have

    - low-overhead in terms of ZODB size (only part of a block is overwritten
      in DB on single change), but
    - high-overhead in terms of access time
      (several objects need to be loaded for 1 block)

In general it is not possible to have low-overhead for both i) access-time, and
ii) DB size, with approach where we do block objects representation /
management on *client* side.

On the other hand, if object management is moved to DB *server* side, it is
possible to deduplicate them there and this way have low-overhead for both
access-time and DB size with just client storing 1 object per file block. This
will be our future approach after we teach NEO about object deduplication.

~~~~

As shown above in the last paragraph it is not possible to perform
optimally on client side. Thus ZBlk1 should be only an intermediate
solution until we move data management to DB server side, with main
criteria for ZBlk1 to keep it simple.

In this patch a simple scheme is used, where every block is divided into
chunks organized via BTree. When a block part changes, only corresponding
chunk is updated. Chunk size is chosen to be 4K which creates ~ 512
fanout for 2M block.

DB size after tests is changed as follows:

        bigfile     bigarray

ZBlk0     24K       6200K
ZBlk1     36K         36K

( slight size increase for bigfile tests is because of btree structures
  overhead )

Time to run tests stays approximately the same.

/cc @Tyagov, @klaus

- current ZBlk becomes format 0
- write format can be selected via WENDELIN_CORE_ZBLK_FMT env var
- upon writing a block we always make sure we write it in current write
  format - so if a block was previously written in one format, it could
  be changed on the next write.
- tox is prepared to test all write formats (so far only ZBlk0 there).

The reason is - in the next patch we'll introduce another format for
blocks which is optimized for small changes.

If we aim to have several kinds of ZBlk, the functionality to invalidate
a block and bind it to zfile is common and thus should be shared.

If we introduce a base class, it also makes sense to document what
.loadblkdata() and .setblkdata() should do there - in one place.

- we have logic to init ._v_zfile and ._v_blk there

- the same for ._v_blkdata - logic to init it is there + it is better to
  set variables right from instance creation, not hoping "it will be set
  outside from master"

  NOTE ._v_blkdata = None means the block was not yet loaded and
  generally fits into logic how ZBlk operates and thus the change is ok.

A lot of times data in blocks come shorter than block size and the rest
of the memory page is zeros (because it was pre-filled zeros by OS when
page was allocated).

Do a simple heuristic and trim those trailing zeros and not store them
into DB.

With this change size of DB created by running bigfile and bigarray
tests changes as following:

            bigfile     bigarray

    old     145M         35M
    new      24K          6M

Trimming trailing zeros is currently done with str.rstrip('\0') which
creates a copy. When/if needed this could be optimized to work in-place.

- to keep things uniform with counterpart .loadblkdata()
- so that master do not mess with ZBlk internals and works only through
  interface - this way it will be possible to use several
  kinds of ZBlk.

All those functions move data between DB and ._v_blkdata and only master
then connects data to memory page. Make that fact explicit.

Again, leftover from 4174b84a (bigfile: BigFile backend to store data in
ZODB).

The comment was a leftover there from 4174b84a (bigfile: BigFile backend
to store data in ZODB).

i.e. it is ok to copy smaller data into larger buffer.

- not only multiple of 8. We can do it by using uint8 typed arrays, and
it does not hurt performance:

In [1]: from wendelin.lib.mem import bzero, memset, memcpy
In [2]: A = bytearray(2*1024*1024)
In [3]: B = bytearray(2*1024*1024)

        memcpy(B, A)    bzero(A)        memset(A, 0xff)

old:    718 µs          227 µs / 1116   228 µs / 1055 (*)
new:    718 µs          176 µs / 1080   175 µs / 1048

    (*) the second number comes from e.g.

        In [8]: timeit bzero(A)
        The slowest run took 4.63 times longer than the fastest.
        This could mean that an intermediate result is being cached
        10000 loops, best of 3: 228 µs per loop

        so the second number is more realistic and says performance
        stays aproximately the same and only slightly improves.

When we serve indexing request, we first compute page range in backing
file, which contains the result based on major index range, then mmap
that file range and pick up result from there.

Page range math was however not correct: e.g. for positive strides, last
element's byte is (byte0_stop-1), NOT (byte0_stop - byte0_stride) which
for cases where byte0_stop is just a bit after page boundary, can make a
difference - page_max will be 1 page less what it should be and then
whole ndarray view creation breaks:

    ...
    Module wendelin.bigarray, line 381, in __getitem__
      view0 = ndarray(view0_shape, self._dtype, vma0, view0_offset, view0_stridev)
  ValueError: strides is incompatible with shape of requested array and size of buffer

( because vma0 was created less in size than what is needed to create view0_shape
  shaped array starting from view0_offset in vma0. )

Similar story for negative strides math - it was not correct neither.

Fix it.

/reported-by @Camata

We'll need this class in tests in the next patch.

It was already done from the beginning in 4174b84a (bigfile: BigFile
backend to store data in ZODB).

bigfile/zodb/tests: Make sure _p_invalidate() in Zblk.loadblk() does not lead to reloading data updated

Thanks to ZODB being MVCC this does not happen, but we better test
explicitly.

We'll need it in other places in the next patch.

e.g. on .shape

When there is a conflict (on any object, but on ZBlk in particular) ZODB
machinery calls its ._p_invalidate() twice:

  File ".../wendelin.core/bigfile/tests/test_filezodb.py", line 661, in test_bigfile_filezodb_vs_conflicts
    tm2.commit()    # this should raise ConflictError and stay at 11 state
  File ".../transaction/_manager.py", line 111, in commit
    return self.get().commit()
  File ".../transaction/_transaction.py", line 271, in commit
    self._commitResources()
  File ".../transaction/_transaction.py", line 414, in _commitResources
    self._cleanup(L)
  File ".../transaction/_transaction.py", line 426, in _cleanup
    rm.abort(self)
  File ".../ZODB/Connection.py", line 436, in abort
    self._abort()
  File ".../ZODB/Connection.py", line 479, in _abort
    self._cache.invalidate(oid)
  File ".../wendelin.core/bigfile/file_zodb.py", line 148, in _p_invalidate
    traceback.print_stack()

and

  File ".../wendelin.core/bigfile/tests/test_filezodb.py", line 661, in test_bigfile_filezodb_vs_conflicts
    tm2.commit()    # this should raise ConflictError and stay at 11 state
  File ".../transaction/_manager.py", line 111, in commit
    return self.get().commit()
  File ".../transaction/_transaction.py", line 271, in commit
    self._commitResources()
  File ".../transaction/_transaction.py", line 416, in _commitResources
    self._synchronizers.map(lambda s: s.afterCompletion(self))
  File ".../transaction/weakset.py", line 59, in map
    f(elt)
  File ".../transaction/_transaction.py", line 416, in <lambda>
    self._synchronizers.map(lambda s: s.afterCompletion(self))
  File ".../ZODB/Connection.py", line 831, in _storage_sync
    self._flush_invalidations()
  File ".../ZODB/Connection.py", line 539, in _flush_invalidations
    self._cache.invalidate(invalidated)
  File ".../wendelin.core/bigfile/file_zodb.py", line 148, in _p_invalidate
    traceback.print_stack()

i.e. first invalidation is done by commit cleanup:

    https://github.com/zopefoundation/transaction/blob/1.4.4/transaction/_transaction.py#L414
    https://github.com/zopefoundation/ZODB/blob/3.10/src/ZODB/Connection.py#L479

and then Connection.afterCompletion() flushes invalidation again:

    https://github.com/zopefoundation/transaction/blob/1.4.4/transaction/_transaction.py#L416
    https://github.com/zopefoundation/ZODB/blob/3.10/src/ZODB/Connection.py#L833
    https://github.com/zopefoundation/ZODB/blob/3.10/src/ZODB/Connection.py#L539

If there was no conflict - there will be no ConflictError raised and
thus no Transaction._cleanup() done in its ._commitResources() ->
invalidation called only once. But with ConflictError - it is twice.

Adjust ZBlk._p_invalidate() not to delve into real invalidation more
than once - else we will fail, as ZBlk._v_zfile becomes unbound after
invalidation done the first time.

All is currently handled correctly, but an observation is made that upon
such invalidation we through away ._v_fileh i.e. we through away whole
data cache just because an array was resized.

LivePersistent can go to ghost state, because invalidation cannot be
ignored, i.e. they indicate the object has been changed externally.

This does not break our logic for ZBigFile and ZBigArray as
invalidations can happen only at transaction boundary, so during the
course of transaction those classes are guaranteed to stay uptodate and
thus not loose ._v_file and ._v_fileh (which is the reason they inherit
from LivePersistent).

it is ok to loose ._v_file and ._v_fileh at transaction boundary and
become ghost - those objects will be recreated upon going back uptodate
and will stay alive again during the whole transaction window.

We care only not to loose e.g. ._v_fileh inside transaction, because
loosing that data manager and thus data it manages inside transaction
can break synchronization logic and forget changed-through-mmap data.

If we do - ZBigFileH objects just don't get garbage collected, and
sooner or later this way it leaks enough filedescriptors so that main
zope loop breaks:

    Traceback (most recent call last):
      File ".../bin/runzope", line 194, in <module>
        sys.exit(Zope2.Startup.run.run())
      File ".../eggs/Zope2-2.13.22-py2.7.egg/Zope2/Startup/run.py", line 26, in run
        starter.run()
      File ".../eggs/Zope2-2.13.22-py2.7.egg/Zope2/Startup/__init__.py", line 105, in run
        Lifetime.loop()
      File ".../eggs/Zope2-2.13.22-py2.7.egg/Lifetime/__init__.py", line 43, in loop
        lifetime_loop()
      File ".../eggs/Zope2-2.13.22-py2.7.egg/Lifetime/__init__.py", line 53, in lifetime_loop
        asyncore.poll(timeout, map)
      File ".../parts/python2.7/lib/python2.7/asyncore.py", line 145, in poll
        r, w, e = select.select(r, w, e, timeout)
    ValueError: filedescriptor out of range in select()

    $ lsof -p <runzope-pid> |grep ramh | wc -l
    950

So continuing 64d1f40b (bigfile/zodb: Monkey-patch for ZODB.Connection
to support callback on .open()) let's change the implementation to use
WeakSet for callbacks list.

Yes, because weakref to bound methods release immediately, we give up
flexibility to subscribe to arbitrary callbacks. If it become an issue,
something like WeakMethod from py3 or recipes from the net how to do it
are there.

ZODB 3.10.4 was released almost 4 years ago, and contains significant
change how ghost objects coming from DB are initially setup.

Continuing theme from the previous patch, here is propagation of
invalidation messages from ZODB to BigFileH memory.

The use-case here is that e.g. one fileh mapping was created in one
connection, another in another, and after doing changes in second
connection and committing there, the first fileh has to invalidate
appropriate already-loaded pages, so its next transaction won't work
with stale data.

To do it, we hook into ZBlk._p_invalidate() and propagate the
invalidation message to ZBigFile which then notifies all
opened-through-it ZBigFileH to invalidate a page.

ZBlk -> ZBigFile lookup is done without storing backpointer in ZODB -
instead, every time ZBigFile touches ZBlk object (and thus potentially
does GHOST -> Live transition to it), we (re-)bind it back to ZBigFile.
Since ZBigFile is the only class that works with ZBlk objects it is safe
to do so.

For ZBigFile to notify "all-opened-through-it" ZBigFileH, a weakset is
introduced to track them.

Otherwise the real page invalidation work is done by virtmem (see
previous patch).

FileH is a handle representing snapshot of a file. If, for a pgoffset,
fileh already has loaded page, but we know the content of the file has
changed externally after loading has been done, we need to propagate to
fileh that such-and-such page should be invalidated (and reloaded on
next access).

This patch introduces

    fileh_invalidate_page(fileh, pgoffset)

to do just that.

In the next patch we'll use this facility to propagate invalidations of
ZBlk ZODB objects to virtmem subsystem.

NOTE

Since invalidation removes "dirtiness" from a page state, several
subsequent invalidations can make a fileh completely non-dirty
(invalidating all dirty page). Previously fileh->dirty was just a one
bit, so we needed to improve how we track dirtiness.

One way would be to have a dirty list for fileh pages and operate on
that. This has advantage to even optimize dirty pages processing like
fileh_dirty_writeout() where we currently scan through all fileh pages
just to write only PAGE_DIRTY ones.

Another simpler way is to make fileh->dirty a counter and maintain that.

Since we are going to move virtmem subsystem back into the kernel, here,
a simpler less-intrusive approach is used.

Intro
-----

ZODB maintains pool of opened-to-DB connections. For each request Zope
opens 1 connection and, after request handling is done, returns the
connection back to ZODB pool (via Connection.close()). The same
connection will be opened again for handling some future next request at
some future time. This next open can happen in different-from-first
request worker thread.

TransactionManager  (as accessed by transaction.{get,commit,abort,...})
is thread-local, that is e.g. transaction.get() returns different
transaction for threads T1 and T2.

When _ZBigFileH hooks into txn_manager to get a chance to run its
.beforeCompletion() when transaction.commit() is run, it hooks into
_current_ _thread_ transaction manager.

Without unhooking on connection close, and circumstances where
connection migrates to different thread this can lead to
dissynchronization between ZBigFileH managing fileh pages and Connection
with ZODB objects. And even to data corruption, e.g.

    T1              T2

    open
    zarray[0] = 11
    commit
    close

                    open                # opens connection as closed in T1
    open
                    zarray[0] = 21
    commit
                    abort

    close           close

Here zarray[0]=21 _will_ be committed by T1 as part of T1 transaction -
because when T1 does commit .beforeCompletion() for zarray is invoked,
sees there is dirty data and propagate changes to zodb objects in
connection for T2, joins connection for T2 into txn for T1, and then txn
for t1 when doing two-phase-commit stores modified objects to DB ->
oops.

----------------------------------------

To prevent such dissynchronization _ZBigFileH needs to be a DataManager
which works in sync with the connection it was initially created under -
on connection close, unregister from transaction_manager, and on
connection open, register to transaction manager in current, possibly
different, thread context. Then there won't be incorrect
beforeCompletion() notification and corruption.

This issue, besides possible data corruption, was probably also exposing
itself via following ways we've seen in production (everywhere
connection was migrated from T1 to T2):

1. Exception ZODB.POSException.ConnectionStateError:
        ConnectionStateError('Cannot close a connection joined to a transaction',)
        in <bound method Cleanup.__del__ of <App.ZApplication.Cleanup instance at 0x7f10f4bab050>> ignored

     T1          T2

                 modify zarray
                 commit/abort    # does not join zarray to T2.txn,
                                 # because .beforeCompletion() is
                                 # registered in T1.txn_manager

     commit                      # T1 invokes .beforeCompletion()
     ...                         # beforeCompletion() joins ZBigFileH and zarray._p_jar (=T2.conn) to T1.txn
     ...                         # commit is going on in progress
     ...
     ...         close           # T2 thinks request handling is done and
     ...                         # and closes connection. But T2.conn is
     ...                         # still joined to T1.txn

2. Traceback (most recent call last):
     File ".../wendelin/bigfile/file_zodb.py", line 121, in storeblk
       def storeblk(self, blk, buf):   return self.zself.storeblk(blk, buf)
     File ".../wendelin/bigfile/file_zodb.py", line 220, in storeblk
       zblk._v_blkdata = bytes(buf)    # FIXME does memcpy
     File ".../ZODB/Connection.py", line 857, in setstate
       raise ConnectionStateError(msg)
   ZODB.POSException.ConnectionStateError: Shouldn't load state for 0x1f23a5 when the connection is closed

   Similar to "1", but close in T2 happens sooner, so that when T1 does
   the commit and tries to store object to database, Connection refuses to
   do the store:

     T1          T2

                 modify zarray
                 commit/abort

     commit
     ...         close
     ...
     ...
     . obj.store()
     ...
     ...

3. Traceback (most recent call last):
     File ".../wendelin/bigfile/file_zodb.py", line 121, in storeblk
       def storeblk(self, blk, buf):   return self.zself.storeblk(blk, buf)
     File ".../wendelin/bigfile/file_zodb.py", line 221, in storeblk
       zblk._p_changed = True          # if zblk was already in DB: _p_state -> CHANGED
     File ".../ZODB/Connection.py", line 979, in register
       self._register(obj)
     File ".../ZODB/Connection.py", line 989, in _register
       self.transaction_manager.get().join(self)
     File ".../transaction/_transaction.py", line 220, in join
       Status.ACTIVE, Status.DOOMED, self.status))
   ValueError: expected txn status 'Active' or 'Doomed', but it's 'Committing'

  ( storeblk() does zblk._p_changed -> Connection.register(zblk) ->
    txn.join() but txn is already committing

    IOW storeblk() was invoked with txn.state being already 'Committing' )

    T1          T2

                modify obj      # this way T2.conn joins T2.txn
                modify zarray

    commit                      # T1 invokes .beforeCompletion()
    ...                         # beforeCompletion() joins only _ZBigFileH to T1.txn
    ...                         # (because T2.conn is already marked as joined)
    ...
    ...         commit/abort    # T2 does commit/abort - this touches only T2.conn, not ZBigFileH
    ...                         # in particular T2.conn is now reset to be not joined
    ...
    . tpc_begin                 # actual active commit phase of T1 was somehow delayed a bit
    . tpc_commit                # when changes from RAM propagate to ZODB objects associated
    .  storeblk                 # connection (= T2.conn !) is notified again,
    .   zblk = ...              # wants to join txn for it thinks its transaction_manager,
                                # which when called from under T1 returns *T1* transaction manager for
                                # which T1.txn is already in state='Committing'

4. Empty transaction committed to NEO

   ( different from doing just transaction.commit() without changing
     any data - a connection was joined to txn, but set of modified
     object turned out to be empty )

   This is probably a race in Connection._register when both T1 and T2
   go to it at the same time:

   https://github.com/zopefoundation/ZODB/blob/3.10/src/ZODB/Connection.py#L988

   def _register(self, obj=None):
        if self._needs_to_join:
            self.transaction_manager.get().join(self)
            self._needs_to_join = False

    T1                          T2

                                modify zarray
    commit
    ...
    .beforeCompletion           modify obj
    . if T2.conn.needs_join      if T2.conn.needs_join      # race here
    .   T2.conn.join(T1.txn)       T2.conn.join(T2.txn)     # as a result T2.conn joins both T1.txn and T2.txn
    .
    commit finishes             # T2.conn registered-for-commit object list is now empty

                                commit
                                 tpc_begin
                                  storage.tpc_begin
                                 tpc_commit
                                  # no object stored, because for-commit-list is empty

/cc @jm, @klaus, @Tyagov, @vpelletier

ZODB.Connection has support for calling callbacks on .close() but not on
.open() . We'll need to hook into both Connection open/close process in the
next patch (for _ZBigFileH to stay in sync with Connection state).

NOTE

on-open  callbacks are setup once and fire many times on every open,
on-close callbacks are setup once and fire only once on next close.

The reason for this is that on-close callbacks are useful for scheduling
current connection cleanup, after its processing is done. But on-open
callback is for future connection usage, which is generally not related
to current connection.

/cc @jm, @vpelletier

( without dbclose, next test will not be able to open database - will
  timeout on open on waiting for FileStorage lock )

Previously we were limited to printing traceback starting down from just
storeblk() via explicit PyErr_PrintEx() - because pybuf was attached to
memory which could go away right after return from C function - so we
had to destroy that object for sure, not letting any traceback to hold a
reference to it.

This turned out to be too limiting and not showing full context where
errors happen.

So do the following trick: before returning, reattach pybuf to empty
region at NULL, and this way we don't need to worry about pybuf pointing
to memory which can go away -> thus instead of printing exception locally
- just return it the usual way it is done with C api in Python.

NOTE In contrast to PyMemoryViewObject, PyBufferObject definition is not
public, so to support Python2 - had to copy its definition to PY2 compat
header.

NOTE2 loadblk() is not touched - the loading is done from sighandler
context, which simulates as if it work in separate python thread, so it
is leaved as is for now.

At present several threads running can corrupt internal virtmem
datastructures (e.g. ram->lru_list, fileh->pagemap, etc).

This can happen even if we have zope instances only with 1 worker thread
- because there are other "system" thread, and python garbage collection
can trigger at any thread, so if a virtmem object, e.g. VMA or FileH was
there sitting at GC queue to be collected, their collection, and thus
e.g. vma_unmap() and fileh_close() will be called from
different-from-worker thread.

Because of that virtmem just has to be aware of threads not to allow
internal datastructure corruption.

On the other hand, the idea of introducing userspace virtual memory
manager turned out to be not so good from performance and complexity
point of view, and thus the plan is to try to move it back into the
kernel. This way it does not make sense to do a well-optimised locking
implementation for userspace version.

So we do just a simple single "protect-all" big lock for virtmem.

Of a particular note is interaction with Python's GIL - any long-lived
lock has to be taken with GIL released, because else it can deadlock:

    t1  t2

    G
    V   G
   !G   V
    G

so we introduce helpers to make sure the GIL is not taken, and to retake
it back if we were holding it initially.

Those helpers (py_gil_ensure_unlocked / py_gil_retake_if_waslocked) are
symmetrical opposites to what Python provides to make sure the GIL is
locked (via PyGILState_Ensure / PyGILState_Release).

Otherwise, the patch is more-or-less straightforward application for
one-big-lock to protect everything idea.

Mutex lock/unlock should not fail if mutex was correctly initialized/used.