Example #1
0
    def backup_list(self):
        """
        Prints out a list of the basebackups directory

        This is raw s3cmd output, intended for processing via *NIX
        text wrangling or casual inspection.
        """
        with self.s3cmd_temp_config as s3cmd_config:
            check_call_wait_sigint([S3CMD_BIN, '-c', s3cmd_config.name, 'ls',
                                    self.s3_prefix + '/basebackups_{version}/'
                                    .format(version=FILE_STRUCTURE_VERSION)])
Example #2
0
    def database_s3_backup(self, *args, **kwargs):
        """
        Uploads a PostgreSQL file cluster to S3

        Mechanism: just wraps _s3_upload_pg_cluster_dir with
        start/stop backup actions with exception handling.

        In particular there is a 'finally' block to stop the backup in
        most situations.

        """

        upload_good = False
        backup_stop_good = False
        try:
            start_backup_info = PgBackupStatements.run_start_backup()
            version = PgBackupStatements.pg_version()['version']
            uploaded_to, expanded_size_bytes = \
                self._s3_upload_pg_cluster_dir(
                start_backup_info, version=version,
                *args, **kwargs)
            upload_good = True
        finally:
            if not upload_good:
                logger.warning(
                    log_help.fmt_logline(
                        'blocking on sending WAL segments',
                        'The backup was not completed successfully, '
                        'but we have to wait anyway.  '
                        'See README: TODO about pg_cancel_backup'))

            stop_backup_info = PgBackupStatements.run_stop_backup()
            backup_stop_good = True

        if upload_good and backup_stop_good:
            # Make a best-effort attempt to write a sentinel file to
            # the cluster backup directory that indicates that the
            # base backup upload has definitely run its course (it may
            # have, even without this file, though) and also
            # communicates what WAL segments are needed to get to
            # consistency.
            try:
                with self.s3cmd_temp_config as s3cmd_config:
                    with tempfile.NamedTemporaryFile(mode='w') as sentinel:
                        json.dump(
                            {'wal_segment_backup_stop':
                                 stop_backup_info['file_name'],
                             'wal_segment_offset_backup_stop':
                                 stop_backup_info['file_offset'],
                             'expanded_size_bytes': expanded_size_bytes},
                            sentinel)
                        sentinel.flush()

                        # Avoid using do_lzo_aes_s3_put to store
                        # uncompressed: easier to read/double click
                        # on/dump to terminal
                        check_call_wait_sigint(
                            [S3CMD_BIN, '-c', s3cmd_config.name,
                             '--mime-type=application/json', 'put',
                             sentinel.name,
                             uploaded_to + '_backup_stop_sentinel.json'])
            except KeyboardInterrupt, e:
                # Specially re-raise exception on SIGINT to allow
                # propagation.
                raise
            except:
Example #3
0
    def _s3_upload_pg_cluster_dir(self, start_backup_info, pg_cluster_dir,
                                  version, pool_size, rate_limit=None):
        """
        Upload to s3_url_prefix from pg_cluster_dir

        This function ignores the directory pg_xlog, which contains WAL
        files and are not generally part of a base backup.

        Note that this is also openssl encrypts and compresses the files:
        thus, the number of pooled processes involves doing a full
        sequential scan of the uncompressed Postgres heap file that is
        pipelined into openssl. Once openssl is completely finished
        (necessary to have access to the file size) the file is sent to S3.

        TODO: Investigate an optimization to decouple the compression and
        upload steps to make sure that the most efficient possible use of
        pipelining of network and disk resources occurs.  Right now it
        possible to bounce back and forth between bottlenecking on reading
        from the database block device and subsequently the S3 sending
        steps should the processes be at the same stage of the upload
        pipeline: this can have a very negative impact on being able to
        make full use of system resources.

        Furthermore, it desirable to overflowing the page cache: having
        separate tunables for number of simultanious compression jobs
        (which occupy /tmp space and page cache) and number of uploads
        (which affect upload throughput) would help.

        """

        # Get a manifest of files first.
        matches = []

        def raise_walk_error(e):
            raise e

        walker = os.walk(pg_cluster_dir, onerror=raise_walk_error)
        for root, dirnames, filenames in walker:
            is_cluster_toplevel = (os.path.abspath(root) ==
                                   os.path.abspath(pg_cluster_dir))

            # Do not capture any WAL files, although we do want to
            # capture the WAL directory or symlink
            if is_cluster_toplevel:
                if 'pg_xlog' in dirnames:
                    dirnames.remove('pg_xlog')
                    matches.append(os.path.join(root, 'pg_xlog'))

            for filename in filenames:
                if is_cluster_toplevel and filename in ('server.key',
                                                        'server.crt',
                                                        'postmaster.pid',
                                                        'postgresql.conf'):
                    # Do not include the postmaster pid file or the
                    # configuration file in the backup.
                    pass
                else:
                    matches.append(os.path.join(root, filename))

            # Special case for empty directories
            if not filenames:
                matches.append(root)


        backup_s3_prefix = ('{0}/basebackups_{1}/'
                               'base_{file_name}_{file_offset}'
                               .format(self.s3_prefix, FILE_STRUCTURE_VERSION,
                                       **start_backup_info))

        # absolute upload paths are used for telling openssl what to compress
        local_abspaths = [os.path.abspath(match) for match in matches]

        # computed to subtract out extra extraneous absolute path
        # information when storing on S3
        common_local_prefix = os.path.commonprefix(local_abspaths)

        partitions = tar_partition.tar_partitions_plan(
            common_local_prefix, local_abspaths,

            # 1610612736 bytes == 1.5 gigabytes, per partition,
            # non-tunable
            1610612736)

        # A multiprocessing pool to do the uploads with
        pool = multiprocessing.Pool(processes=pool_size)

        if rate_limit is None:
            per_process_limit = None
        else:
            per_process_limit = int(rate_limit / pool_size)

        # Reject tiny per-process rate limits.  They should be
        # rejected more nicely elsewher.
        assert per_process_limit > 0 or per_process_limit is None

        # a list to accumulate async upload jobs
        uploads = []

        total_size = 0
        with self.s3cmd_temp_config as s3cmd_config:

            # Make an attempt to upload extended version metadata
            with tempfile.NamedTemporaryFile(mode='w') as version_tempf:
                version_tempf.write(unicode(version))
                version_tempf.flush()

                check_call_wait_sigint(
                    [S3CMD_BIN, '-c', s3cmd_config.name,
                     '--mime-type=text/plain', 'put',
                     version_tempf.name,
                     backup_s3_prefix + '/extended_version.txt'])

            # Enqueue uploads for parallel execution
            try:
                for tpart_number, tpart in enumerate(partitions):
                    total_size += tpart.total_member_size
                    uploads.append(pool.apply_async(
                            worker.do_partition_put,
                            [backup_s3_prefix, tpart_number, tpart,
                             per_process_limit, s3cmd_config.name]))

                pool.close()
            finally:
                # Necessary in case finally block gets hit before
                # .close()
                pool.close()

                while uploads:
                    # XXX: Need timeout to work around Python bug:
                    #
                    # http://bugs.python.org/issue8296
                    uploads.pop().get(1e100)

                pool.join()

        return backup_s3_prefix, total_size