/usr/share/pyshared/mysql/utilities/common/dbcompare.py is in mysql-utilities 1.0.5-1.
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#
# Copyright (c) 2011, Oracle and/or its affiliates. All rights reserved.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; version 2 of the License.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU General Public License
# along with this program; if not, write to the Free Software
# Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
#
"""
This file contains the methods for checking consistency among two databases.
"""
from mysql.utilities.common.options import parse_connection
from mysql.utilities.exception import UtilError, UtilDBError
# The following are the queries needed to perform table data consistency
# checking.
_COMPARE_TABLE_DROP = """
DROP TABLE {db}.compare_{table};
"""
_COMPARE_TABLE = """
CREATE TEMPORARY TABLE {db}.compare_{table} (
compare_sign char(32) NOT NULL PRIMARY KEY,
pk_hash char(32) NOT NULL,
{pkdef}
span char(4) NOT NULL,
KEY span_key (pk_hash(4)));
"""
_COMPARE_INSERT = """
INSERT INTO {db}.compare_{table}
(compare_sign, pk_hash, {pkstr}, span)
SELECT
MD5(CONCAT_WS('/', {colstr})),
MD5(CONCAT_WS('/', {pkstr})),
{pkstr},
LEFT(MD5(CONCAT_WS('/', {pkstr})), 4)
FROM {db}.{table}
"""
_COMPARE_SUM = """
SELECT span, COUNT(*) as cnt,
CONCAT(SUM(CONV(SUBSTRING(compare_sign,1,8),16,10)),
SUM(CONV(SUBSTRING(compare_sign,9,8),16,10)),
SUM(CONV(SUBSTRING(compare_sign,17,8),16,10)),
SUM(CONV(SUBSTRING(compare_sign,25,8),16,10))) as sig
FROM {db}.compare_{table}
GROUP BY span
"""
_COMPARE_DIFF = """
SELECT * FROM {db}.compare_{table}
WHERE span = '{span}'
"""
_COMPARE_SPAN_QUERY = """
SELECT * FROM {db}.{table} WHERE {where}
"""
def _get_objects(server, database, options):
"""Get all objects from the database (except grants)
server[in] connected server object
database[in] database names
options[in] global options
Returns list - objects in database
"""
from mysql.utilities.common.database import Database
options["skip_grants"] = True # Tell db class to skip grants
db_obj = Database(server, database, options)
if not db_obj.exists():
raise UtilDBError("The database does not exist: {0}".format(database))
db_obj.init()
db_objects = db_obj.objects
db_objects.sort()
return db_objects
def get_create_object(server, object_name, options):
"""Get the object's create statement.
This method retrieves the object create statement from the database.
server[in] server connection
object_name[in] name of object in the form db.objectname
options[in] options: verbosity, quiet
Returns string : create statement or raise error if object or db not exist
"""
from mysql.utilities.common.database import Database
verbosity = options.get("verbosity", 0)
quiet = options.get("quiet", False)
object = object_name.split(".")
db = Database(server, object[0], options)
# Error if atabase does not exist
if not db.exists():
raise UtilDBError("The database does not exist: {0}".format(object[0]))
if len(object) == 1:
object.append(object[0])
obj_type = "DATABASE"
else:
obj_type = db.get_object_type(object[1])
if obj_type is None:
raise UtilDBError("The object {0} does not exist.".
format(object_name))
create_stmt = db.get_create_statement(object[0], object[1], obj_type)
if verbosity > 0 and not quiet:
print "\n# Definition for object {0}:".format(object_name)
print create_stmt
return create_stmt
def print_missing_list(item_list, first, second):
"""Print the list of items in the list.
This method is used to display the list of objects that are missing
from one of the databases in the compare.
item_list[in] list of items to print
first[in] name of first database
second[in] name of second database
Returns bool True if items in the list, False if list is empty
"""
if len(item_list) == 0:
return False
print "# WARNING: Objects in {0} but not in {1}:".format(first, second)
for item in item_list:
print "# {0:>12}: {1}".format(item[0], item[1][0])
return True
def server_connect(server1_val, server2_val, object1, object2, options):
"""Connect to the servers
This method connects to the servers and checks to see if the objects
are different: db1.obj1 != db2.obj2 by name match.
server1_val[in] a dictionary containing connection information for the
first server including:
(user, password, host, port, socket)
server2_val[in] a dictionary containing connection information for the
second server including:
(user, password, host, port, socket)
object1[in] the first object in the compare
object2[in] the second object in the compare
options[in] a dictionary containing the options for the operation:
(quiet, verbosity)
Returns tuple of Server objects (server1, server2)
"""
from mysql.utilities.common.server import connect_servers
quiet = options.get("quiet", False)
verbosity = options.get("verbosity", 0)
conn_options = {
'quiet' : quiet,
'src_name' : "server1",
'dest_name' : "server2",
'version' : "5.1.30",
}
servers = connect_servers(server1_val, server2_val, conn_options)
server1 = servers[0]
server2 = servers[1]
if server2 is None:
server2 = server1
if server1 == server2 and object1 == object2:
raise UtilError("Comparing the same object on the same server.")
return (server1, server2)
def get_common_lists(list1, list2):
"""Compare the items in two lists
This method compares the items in two lists returning those items that
appear in both lists as well as two lists that contain those unique items
from the original lists.
For example, given {s,b,c,d,e,f} and {a,b,c,d,e,z}, the lists returned are
both = {b,c,d,e}
in list1 not list2 = {s,f}
in list2 not list1 = {a.z]
list1[in] first list
list2[in] second list
Returns three lists
"""
s1 = set(list1)
s2 = set(list2)
both = s1 & s2
return(list(both), list(s1-both), list(s2-both))
def get_common_objects(server1, server2, db1, db2,
print_list=True, options={}):
"""Get a list of the common objects among two databases.
server1[in] first server connection
server2[in] second server connection
object1[in] the first object in the compare in the form: (db.name)
object2[in] the second object in the compare in the form: (db.name)
print_list[in] if True, print list of missing items
options[in] global options
Returns (tuple) lists containing: items in both,
items in db1 and not in db2,
items in db2 not in db1
"""
db1_objects = _get_objects(server1, db1, options)
db2_objects = _get_objects(server2, db2, options)
in_both, in_db1_not_db2, in_db2_not_db1 = get_common_lists(db1_objects,
db2_objects)
if print_list:
server1_str = "server1." + db1
if server1 == server2:
server2_str = "server1." + db2
else:
server2_str = "server2." + db2
print_missing_list(in_db1_not_db2, server1_str, server2_str)
print_missing_list(in_db2_not_db1, server2_str, server1_str)
return (in_both, in_db1_not_db2, in_db2_not_db1)
def _get_diff(list1, list2, object1, object2, difftype):
"""Get the difference among two lists.
This method finds the difference of two lists using either unified,
context, or differ-style output.
Note: We must strip not only \n but also trailing blanks due to change in
Python 2.7.1 handling of difflib methods.
list1[in] The base list
list2[in] The list used for compare
object1[in] The 'from' or source
object2[in] The 'to' or difference destination
difftype[in] Difference type
Returns list - differences or []
"""
import difflib
diff_str = []
# Generate unified is SQL is specified for use in reporting errors
if difftype in ['unified', 'sql']:
for line in difflib.unified_diff(list1, list2,
fromfile=object1, tofile=object2):
diff_str.append(line.strip('\n').rstrip(' '))
elif difftype == 'context':
for line in difflib.context_diff(list1, list2,
fromfile=object1, tofile=object2):
diff_str.append(line.strip('\n').rstrip(' '))
else:
has_diff = False
for line in difflib.ndiff(list1, list2):
diff_str.append(line.strip('\n').rstrip(' '))
if line[0] in ['-', '+', '?']:
has_diff = True
if not has_diff:
diff_str = []
return diff_str
def _get_transform(server1, server2, object1, object2, options):
"""Get the transformation SQL statements
This method generates the SQL statements to transform the destination
object based on direction of the compare.
server1[in] first server connection
server2[in] second server connection
object1 the first object in the compare in the form: (db.name)
object2 the second object in the compare in the form: (db.name)
options[in] a dictionary containing the options for the operation:
(quiet, etc.)
Returns tuple - (bool - same db name?, list of transformation statements)
"""
from mysql.utilities.common.database import Database
from mysql.utilities.common.sql_transform import SQLTransformer
obj_type = None
direction = options.get("changes-for", "server1")
# If there is no dot, we do not have the format 'db_name.obj_name' for
# object1 and therefore must treat it as a database name.
if object1.find('.') == -1:
obj_type = "DATABASE"
# We are working with databases so db and name need to be set
# to the database name to tell the get_object_definition() method
# to retrieve the database information.
db1 = object1
db2 = object2
name1 = object1
name2 = object2
else:
try:
db1, name1 = object1.split('.')
db2, name2 = object2.split('.')
except:
raise UtilError("Invalid object name arguments for _get_transform"
"(): %s, %s." % (object1, object2))
db_1 = Database(server1, db1, options)
db_2 = Database(server2, db2, options)
if obj_type is None:
obj_type = db_1.get_object_type(name1)
transform_str = []
obj1 = db_1.get_object_definition(db1, name1, obj_type)
obj2 = db_2.get_object_definition(db2, name2, obj_type)
# Get the transformation based on direction.
transform_str = []
same_db_name = True
xform = SQLTransformer(db_1, db_2, obj1[0], obj2[0], obj_type,
options.get('verbosity', 0))
differences = xform.transform_definition()
if differences is not None and len(differences) > 0:
transform_str.extend(differences)
return transform_str
def build_diff_list(diff1, diff2, transform1, transform2,
first, second, options):
"""Build the list of differences
This method builds a list of difference statements based on whether
the lists are the result of an SQL statement generation, object definition
differences, or data differences.
Note: to specify a non-SQL difference for data, set
options['data_diff'] = True
diff1[in] definitiion diff for first server
diff2[in] definition diff for second server
transform1[in] transformation for first server
transform2[in] transformation for second server
first[in] name of first server (e.g. server1)
second[in] name of second server (e.g. server2)
options[in] options for building the list
Returns list = list of differences or transformations
"""
# Don't build the list if there were no differences.
if len(diff1) == 0:
return []
reverse = options.get('reverse', False)
diff_list = []
if options.get('difftype') == 'sql':
if len(transform1) == 0:
diff_list.append("\n# WARNING: Cannot generate SQL statements "
"for these objects.")
diff_list.append("# Check the difference output for other "
"discrepencies.")
diff_list.extend(diff1)
else:
diff_list.append("# Transformation for --changes-for=%s:\n#\n" %
first)
diff_list.extend(transform1)
diff_list.append("")
if reverse and len(transform2) > 0:
diff_list.append("#\n# Transformation for reverse changes "
"(--changes-for=%s):\n#" % second)
for row in transform2:
sub_rows = row.split('\n')
for sub_row in sub_rows:
diff_list.append("# %s" % sub_row)
diff_list.append("#\n")
else:
# Don't print messages for a data difference (non-SQL)
if not options.get('data_diff', False):
diff_list.append("# Object definitions differ. "
"(--changes-for=%s)\n#\n" % first)
diff_list.extend(diff1)
if reverse and len(diff2) > 0:
diff_list.append("")
if not options.get('data_diff', False):
diff_list.append("#\n# Definition diff for reverse changes "
"(--changes-for=%s):\n#" % second)
for row in diff2:
diff_list.append("# %s" % row)
diff_list.append("#\n")
return diff_list
def diff_objects(server1, server2, object1, object2, options):
"""diff the definition (CREATE statement) of two objects
Produce a diff in the form unified, context, or ndiff of two objects.
Note: objects must exist else exception is thrown.
With the transform option, the method will generate the transformation
SQL statements in addition to the differences found in the CREATE
statements.
When the --difftype == 'sql', the method will print the sql statements
to stdout. To suppress this, use options: quiet=True, suppress_sql=True.
server1[in] first server connection
server2[in] second server connection
object1 the first object in the compare in the form: (db.name)
object2 the second object in the compare in the form: (db.name)
options[in] a dictionary containing the options for the operation:
(quiet, verbosity, difftype, width, suppress_sql)
Returns None = objects are the same, diff[] = objects differ
"""
import sys
quiet = options.get("quiet", False)
verbosity = options.get("verbosity", 0)
difftype = options.get("difftype", "unified")
width = options.get("width", 75)
direction = options.get("changes-for", "server1")
reverse = options.get("reverse", False)
object1_create = get_create_object(server1, object1, options)
object2_create = get_create_object(server2, object2, options)
if not quiet:
msg = "# Comparing {0} to {1} ".format(object1, object2)
print msg,
linelen = width - (len(msg) + 10)
print ' ' * linelen,
object1_create_list = object1_create.split('\n')
object2_create_list = object2_create.split('\n')
diff_list = []
diff_server1 = []
diff_server2 = []
transform_server1 = []
transform_server2 = []
# Get the difference based on direction.
if direction == 'server1' or reverse:
diff_server1 = _get_diff(object1_create_list,
object2_create_list,
object1, object2, difftype)
# If there is a difference. Check for SQL output
if difftype == 'sql' and len(diff_server1) > 0:
transform_server1 = _get_transform(server1, server2,
object1, object2, options)
if direction == 'server2' or reverse:
diff_server2 = _get_diff(object2_create_list,
object1_create_list,
object2, object1, difftype)
# If there is a difference. Check for SQL output
if difftype == 'sql' and len(diff_server2) > 0:
transform_server2 = _get_transform(server2, server1,
object2, object1, options)
# Build diff list
if direction == 'server1':
diff_list = build_diff_list(diff_server1, diff_server2,
transform_server1, transform_server2,
'server1', 'server2', options)
else:
diff_list = build_diff_list(diff_server2, diff_server1,
transform_server2, transform_server1,
'server2', 'server1', options)
# Check for failure to generate SQL statements
if (difftype == 'sql') and \
((direction == 'server1' and transform_server1 == [] \
and diff_server1 != []) or \
(direction == 'server2' and transform_server2 == [] \
and diff_server2 != [])):
# Here we found no transformations. So either the change is nothing
# more than the database name or we missed something. Send a
# warning to the user.
if not quiet:
print "[FAIL]"
for line in diff_list:
print line
return diff_list
if len(diff_list) > 0:
if not quiet:
print "[FAIL]"
if not quiet or \
(not options.get("suppress_sql", False) and difftype == 'sql'):
for line in diff_list:
print line
return diff_list
if not quiet:
print "[PASS]"
return None
def _drop_compare_object(server, db_name, tbl_name):
"""Drop the compare object table
server[in] Server instance
db_name[in] database name
tbl_name[in] table name
"""
try:
server.exec_query(_COMPARE_TABLE_DROP.format(db=db_name,
table=tbl_name))
except:
pass
def _get_compare_objects(index_cols, table1):
"""Build the compare table and identify the primary index
This method creates the compare table for use in forming the MD5 hash
of rows and a hash of the primary key. It also forms the primary key
list of columns.
index_cols[in] a list of columns that form the primary key in the form
(column_name, type)
table1[in] a Table instance of the original table
Returns tuple (table create statement, concatenated string of the
primary index columns)
"""
index_defn = ""
index_str = ""
table = None
# build primary key col definition
index_str = ''.join("{0}, ".format(col[0]) for col in index_cols)
index_defn = ''.join("{0} {1}, ".
format(col[0], col[1]) for col in index_cols)
if index_defn == "":
raise UtilError("Cannot generate index definition")
else:
table = _COMPARE_TABLE.format(db=table1.db_name, table=table1.tbl_name,
pkdef=index_defn)
return (table, index_str)
def _setup_compare(table1, table2):
"""Create and populate the compare summary tables
This method creates the condensed hash table used to compare groups
(span) of records. It also creates the Table instance for each table
and populates values in the table information dictionary for use
in other methods.
The method also checks to ensure the tables have primary keys and that
the keys are the same (have the same columns). An error is raised if
neither of these are met.
table1[in] table1 Table instance
table2[in] table2 Table instance
Returns tuple - string representations of the primary index columns
"""
server1 = table1.server
server2 = table2.server
# Get the primary key for the tables and make sure they are the same
table1_idx = table1.get_primary_index()
table2_idx = table2.get_primary_index()
if len(table1_idx) != len(table2_idx):
raise UtilError("Indexes are not the same.")
elif table1_idx == [] or table2_idx == []:
raise UtilError("No primary key found.")
# drop the temporary tables
_drop_compare_object(server1, table1.db_name, table1.tbl_name)
_drop_compare_object(server2, table2.db_name, table2.tbl_name)
# Build the primary key hash if needed
tbl1_table, pri_idx1 = _get_compare_objects(table1_idx, table1)
tbl2_table, pri_idx2 = _get_compare_objects(table1_idx, table2)
if tbl1_table is None or tbl2_table is None:
raise UtilError("Cannot create compare table.")
# Create the compare tables
server1.exec_query(tbl1_table)
server2.exec_query(tbl2_table)
return (pri_idx1, pri_idx2)
def _make_sum_rows(table, idx_str):
"""Populate the summary table
This method inserts rows into the compare table from the original table
then forms the summary table by combining a prefix of the primary key
hash (group by).
table[in] Table instance
idx_str[in] string representation of primary key columns
Returns result from
"""
from mysql.utilities.common.lock import Lock
col_str = ", ".join(table.get_col_names())
# Lock table first
tbl_lock_list = [
(table.table, 'READ'),
("%s.compare_%s" % (table.db_name, table.tbl_name), 'WRITE')
]
my_lock = Lock(table.server, tbl_lock_list)
table.server.exec_query(
_COMPARE_INSERT.format(db=table.db_name, table=table.tbl_name,
colstr=col_str.strip(", "),
pkstr=idx_str.strip(", ")))
res = table.server.exec_query(
_COMPARE_SUM.format(db=table.db_name, table=table.tbl_name))
# Unlock table
my_lock.unlock()
return res
def _get_rows_span(table, span):
"""Get the rows corresponding to a list of span values
This method returns the rows from the original table that match the
span value presented.
TODO: This may need refactoring to make it more efficient.
For example, use a WHERE clause such as:
WHERE some_col IN ('a','b')
table[in] Table instance
span[in] span value
Returns rows from original table
"""
server = table.server
rows = []
# build WHERE clause
for row in span:
res1 = server.exec_query(
_COMPARE_DIFF.format(db=table.db_name, table=table.tbl_name,
span=row))
pk = res1[0][2:len(res1[0])-1]
pkeys = [col[0] for col in table.get_primary_index()]
where_clause = ' AND '.join("{0} = '{1}'".
format(key, col)
for key, col in zip(pkeys, pk))
res2 = server.exec_query(
_COMPARE_SPAN_QUERY.format(db=table.db_name, table=table.tbl_name,
where=where_clause))
rows.append(res2[0])
return rows
def _get_formatted_rows(rows, table, format='GRID'):
"""Get a printable representation of the data rows
This method generates a formatted view of the rows from a table. The output
format can be in one of GRID, CSV, TAB, or VERTICAL. This output is
returned as a list of strings for use in storing the output for later
presentation.
rows[in] missing rows
table[in] a Table instance of the table
obj1_str[in] full table name for base table
obj2_str[in] full table name for other table
format[in] format to print
Returns list of formatted rows
"""
import os
import tempfile
from mysql.utilities.common.format import print_list
result_rows = []
outfile = tempfile.TemporaryFile()
print_list(outfile, format, table.get_col_names(), rows)
outfile.seek(0)
for line in outfile.readlines():
result_rows.append(line.strip('\n'))
return result_rows
def check_consistency(server1, server2, table1_name, table2_name, options={}):
"""Check the data consistency of two tables
This method performs a comparison of the data in two tables.
Algorithm:
This procedure uses a separate compare database containing a table that
contains an MD5 hash of the concatenated values of a row along with a
MD5 hash of the concatenation of the primary key, the primary key columns,
and a grouping column named span.
The process to calculate differences in table data is as follows:
0. If binary log on for the client (sql_log_bin = 1), turn it off.
1. Create the compare database and the compare table for each
database (db1.table1, db2.table2)
2. For each table, populate the compare table using an INSERT statement
that calculates the MD5 hash for the row.
3. For each table, a summary result is formed by summing the MD5 hash
values broken into four parts. The MD5 hash is converted to decimal for
a numerical sum. This summary query also groups the rows in the compare
table by the span column which is formed from the first 4 positions of
the primary key hash.
4. The summary tables are compared using set methods to find rows (spans)
that appear in both tables, those only in table1, and those only in
table2. A set operation that does not match the rows means the summed
hash is different therefore meaning one or more rows in the span have
either a missing row in the other table or the data is different. If no
differences found, skip to (8).
5. The span values from the sets that contain rows that are different are
then compared again using set operations. Those spans that are in both
sets contain rows that have changed while the set of rows in one but not
the other (and vice-versa) contain rows that are missing.
Note: it is possible given sufficient density of the table for the
changed rows span to contain missing rows. This is Ok because the
output of the difference will still present the data as missing.
6. The output of (5) that contain the same spans (changed rows) is then
used to form a difference and this is saved for presentation to the
user.
7. The output of (6) that contain missing spans (missing rows) is then
used to form a formatted list of the results for presentation to the
user.
8. The compare databases are destroyed and differences (if any) are
returned. A return value of None indicates the data is consistent.
9. Turn binary logging on if turned off in step (0).
Exceptions:
server1[in] first server Server instance
server2[in] second server Server instance
table1_name[in] name of first table in form 'db.name'
table2_name[in] name of second table in form 'db.name'
options[in] dictionary of options for the operation containing
'format' : format for output of missing rows
'difftype' : type of difference to show
Returns None = data is consistent
list of differences - data is not consistent
"""
from mysql.utilities.common.sql_transform import transform_data
from mysql.utilities.common.table import Table
format = options.get('format', 'GRID')
difftype = options.get('difftype', 'unified')
if options.get('toggle_binlog', 'False'):
binlog_server1 = server1.binlog_enabled()
if binlog_server1:
server1.toggle_binlog("DISABLE")
binlog_server2 = server2.binlog_enabled()
if binlog_server2:
server2.toggle_binlog("DISABLE")
else: # set to false to skip after actions to turn binlog back on
binlog_server1 = False
binlog_server2 = False
data_diffs = None
table1 = Table(server1, table1_name)
table2 = Table(server2, table2_name)
# Setup the comparative tables and calculate the hashes
pri_idx_str1, pri_idx_str2 = _setup_compare(table1, table2)
# Populate the compare tables and retrieve rows from each table
tbl1_hash = _make_sum_rows(table1, pri_idx_str1)
tbl2_hash = _make_sum_rows(table2, pri_idx_str2)
# Compare results
in_both, in1_not2, in2_not1 = get_common_lists(tbl1_hash, tbl2_hash)
# If mismatch found, go back to compare table and retrieve grouping.
if len(in1_not2) != 0 or len(in2_not1) != 0:
table1_diffs = []
table2_diffs = []
data_diffs = []
# Get keys for diffs on table1
for row in in1_not2:
table1_diffs.append(row[0])
# Get keys for diffs on table2
for row in in2_not1:
table2_diffs.append(row[0])
# Find changed and missing rows
changed_rows, extra1, extra2 = get_common_lists(table1_diffs,
table2_diffs)
if len(changed_rows) > 0:
data_diffs.append("# Data differences found among rows:")
tbl1_rows = _get_rows_span(table1, changed_rows)
tbl2_rows = _get_rows_span(table2, changed_rows)
if difftype == 'sql':
data_diffs.extend(transform_data(table1, table2, "UPDATE",
(tbl1_rows, tbl2_rows)))
else:
rows1 = _get_formatted_rows(tbl1_rows, table1, format)
rows2 = _get_formatted_rows(tbl2_rows, table2, format)
diff_str = _get_diff(rows1, rows2, table1_name, table2_name,
difftype)
if len(diff_str) > 0:
data_diffs.extend(diff_str)
if len(extra1) > 0:
rows = _get_rows_span(table1, extra1)
if difftype == 'sql':
data_diffs.extend(transform_data(table1, table2,
"DELETE", rows))
else:
data_diffs.append("\n# Rows in {0} not in {1}".format(table1_name,
table2_name))
res = _get_formatted_rows(rows, table1, format)
data_diffs.extend(res)
if len(extra2) > 0:
rows = _get_rows_span(table2, extra2)
if difftype == 'sql':
data_diffs.extend(transform_data(table1, table2,
"INSERT", rows))
else:
data_diffs.append("\n# Rows in {0} not in {1}".format(table2_name,
table1_name))
res = _get_formatted_rows(rows, table2, format)
data_diffs.extend(res)
if binlog_server1:
server1.toggle_binlog("ENABLE")
if binlog_server2:
server2.toggle_binlog("ENABLE")
return data_diffs
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