def _get_labels(self):
"""
Gets all primary key labels from the MySQL database.
"""
query_string = """
select t1.table_name "table_name"
, t1.column_name "id"
, t2.column_name "label"
from information_schema.columns t1
inner join information_schema.columns t2 on t1.table_name = t2.table_name
where t1.table_catalog = current_database()
and t1.table_schema = current_schema()
and t1.column_default like 'nextval(%%)'
and t2.table_catalog = current_database()
and t2.table_schema = current_schema()
and t2.column_name like '%%_label'
"""
tables = StaticDataLayer.execute_rows(query_string)
for table in tables:
query_string = """
select \"%s\" as id
, \"%s\" as label
from \"%s\"
where nullif(\"%s\",'') is not null""" % (table['id'],
table['label'],
table['table_name'],
table['label'])
rows = StaticDataLayer.execute_rows(query_string)
for row in rows:
self._labels[row['label']] = row['id']
def _drop_routine(self):
"""
Drops the stored routine if it exists.
"""
if self._rdbms_old_metadata:
sql = "drop %s if exists %s(%s)" % (self._rdbms_old_metadata['routine_type'],
self._routine_name,
self._rdbms_old_metadata['routine_args'])
StaticDataLayer.execute_none(sql)
def _drop_routine(self):
"""
Drops the stored routine if it exists.
"""
if self._rdbms_old_metadata:
sql = "drop %s if exists %s(%s)" % (
self._rdbms_old_metadata['routine_type'], self._routine_name,
self._rdbms_old_metadata['routine_args'])
StaticDataLayer.execute_none(sql)
def _drop_obsolete_routines(self):
"""
Drops obsolete stored routines (i.e. stored routines that exists in the current schema but for
which we don't have a source file).
"""
for routine_name, values in self._rdbms_old_metadata.items():
if routine_name not in self._source_file_names:
print("Dropping %s %s" % (values['routine_type'], routine_name))
sql = "drop %s if exists %s(%s)" % (values['routine_type'],
routine_name,
values['routine_args'])
StaticDataLayer.execute_none(sql)
def _drop_obsolete_routines(self):
"""
Drops obsolete stored routines (i.e. stored routines that exists in the current schema but for
which we don't have a source file).
"""
for routine_name, values in self._rdbms_old_metadata.items():
if routine_name not in self._source_file_names:
print("Dropping %s %s" %
(values['routine_type'], routine_name))
sql = "drop %s if exists %s(%s)" % (values['routine_type'],
routine_name,
values['routine_args'])
StaticDataLayer.execute_none(sql)
def _get_old_stored_routine_info(self):
"""
Retrieves information about all stored routines in the current schema.
"""
query = """
select t1.routine_name routine_name
, t1.routine_type routine_type
, array_to_string(array_agg(case when (parameter_name is not null) then
concat(t2.parameter_mode, ' ',
t2.parameter_name, ' ',
t2.udt_name)
end order by t2.ordinal_position asc), ',') routine_args
from information_schema.routines t1
left outer join information_schema.parameters t2 on t2.specific_catalog = t1.specific_catalog and
t2.specific_schema = t1.specific_schema and
t2.specific_name = t1.specific_name and
t2.parameter_name is not null
where routine_catalog = current_database()
and routine_schema = current_schema()
group by t1.routine_name
, t1.routine_type
order by routine_name
"""
rows = StaticDataLayer.execute_rows(query)
self._rdbms_old_metadata = {}
for row in rows:
self._rdbms_old_metadata[row['routine_name']] = row
def _get_old_stored_routine_info(self):
"""
Retrieves information about all stored routines in the current schema.
"""
query = """
select t1.routine_name routine_name
, t1.routine_type routine_type
, array_to_string(array_agg(case when (parameter_name is not null) then
concat(t2.parameter_mode, ' ',
t2.parameter_name, ' ',
t2.udt_name)
end order by t2.ordinal_position asc), ',') routine_args
from information_schema.routines t1
left outer join information_schema.parameters t2 on t2.specific_catalog = t1.specific_catalog and
t2.specific_schema = t1.specific_schema and
t2.specific_name = t1.specific_name and
t2.parameter_name is not null
where routine_catalog = current_database()
and routine_schema = current_schema()
group by t1.routine_name
, t1.routine_type
order by routine_name
"""
rows = StaticDataLayer.execute_rows(query)
self._rdbms_old_metadata = {}
for row in rows:
self._rdbms_old_metadata[row['routine_name']] = row
def _get_routine_parameters_info(self):
query = """
select t2.parameter_name parameter_name
, t2.data_type parameter_type
, t2.udt_name column_type
from information_schema.routines t1
left outer join information_schema.parameters t2 on t2.specific_catalog = t1.specific_catalog and
t2.specific_schema = t1.specific_schema and
t2.specific_name = t1.specific_name and
t2.parameter_name is not null
where t1.routine_catalog = current_database()
and t1.routine_schema = current_schema()
and t1.routine_name = '%s'
order by t2.ordinal_position
""" % self._routine_name
routine_parameters = StaticDataLayer.execute_rows(query)
for routine_parameter in routine_parameters:
if routine_parameter['parameter_name']:
value = routine_parameter['column_type']
if 'character_set_name' in routine_parameter:
if routine_parameter['character_set_name']:
value += ' character set %s' % routine_parameter['character_set_name']
if 'collation' in routine_parameter:
if routine_parameter['character_set_name']:
value += ' collation %s' % routine_parameter['collation']
self._parameters.append({'name': routine_parameter['parameter_name'],
'data_type': routine_parameter['parameter_type'],
'data_type_descriptor': value})
def tst_parameter_types01(p_tst_bigint, p_tst_int, p_tst_smallint,
p_tst_bit, p_tst_money, p_tst_numeric,
p_tst_float, p_tst_real, p_tst_date,
p_tst_timestamp, p_tst_time6, p_tst_char,
p_tst_varchar):
return StaticDataLayer.execute_sp_none(
"select tst_parameter_types01(%s::bigint, %s::int, %s::smallint, %s::bit(4), %s::money, %s::numeric, %s::numeric, %s::real, %s::date, %s::timestamp, %s::timestamp, %s::char, %s::varchar)",
p_tst_bigint, p_tst_int, p_tst_smallint, p_tst_bit, p_tst_money,
p_tst_numeric, p_tst_float, p_tst_real, p_tst_date,
p_tst_timestamp, p_tst_time6, p_tst_char, p_tst_varchar)
def _load_routine_file(self):
"""
Loads the stored routine into the MySQL instance.
"""
print("Loading %s %s" % (self._routine_type, self._routine_name))
self._set_magic_constants()
routine_source = []
i = 0
for line in self._routine_source_code_lines:
new_line = line
self._replace['__LINE__'] = "'%d'" % (i + 1)
for search, replace in self._replace.items():
tmp = re.findall(search, new_line, re.IGNORECASE)
if tmp:
new_line = new_line.replace(tmp[0], replace)
routine_source.append(new_line)
i += 1
routine_source = "\n".join(routine_source)
self._unset_magic_constants()
self._drop_routine()
StaticDataLayer.commit()
StaticDataLayer.execute_none(routine_source)
StaticDataLayer.commit()
def _load_routine_file(self):
"""
Loads the stored routine into the MySQL instance.
"""
print("Loading %s %s" % (self._routine_type, self._routine_name))
self._set_magic_constants()
routine_source = []
i = 0
for line in self._routine_source_code_lines:
new_line = line
self._replace['__LINE__'] = "'%d'" % (i + 1)
for search, replace in self._replace.items():
tmp = re.findall(search, new_line, re.IGNORECASE)
if tmp:
new_line = new_line.replace(tmp[0], replace)
routine_source.append(new_line)
i += 1
routine_source = "\n".join(routine_source)
self._unset_magic_constants()
self._drop_routine()
StaticDataLayer.commit()
StaticDataLayer.execute_none(routine_source)
StaticDataLayer.commit()
def _get_columns(self):
"""
Retrieves metadata all columns in the MySQL schema.
"""
query = """
(
select table_name
, column_name
, data_type
, character_maximum_length
, numeric_precision
, ordinal_position
from information_schema.COLUMNS
where table_catalog = current_database()
and table_schema = current_schema()
and table_name similar to '[a-zA-Z0-9_]*'
and column_name similar to '[a-zA-Z0-9_]*'
order by table_name
, ordinal_position
)
union all
(
select concat(table_schema,'.',table_name) table_name
, column_name
, data_type
, character_maximum_length
, numeric_precision
, ordinal_position
from information_schema.COLUMNS
where 1=0 and table_catalog = current_database()
and table_name similar to '[a-zA-Z0-9_]*'
and column_name similar to '[a-zA-Z0-9_]*'
order by table_schema
, table_name
, ordinal_position
)
"""
rows = StaticDataLayer.execute_rows(query)
for row in rows:
# Enhance row with the actual length of the column.
row['length'] = self.derive_field_length(row)
if row['table_name'] in self._columns:
if row['column_name'] in self._columns[row['table_name']]:
pass
else:
self._columns[row['table_name']][row['column_name']] = row
else:
self._columns[row['table_name']] = {row['column_name']: row}
def tst_test_rows_with_index1(p_count):
ret = {}
rows = StaticDataLayer.execute_sp_rows(
"select tst_test_rows_with_index1(%s::int)", p_count)
for row in rows:
if row['tst_c01'] in ret:
if row['tst_c02'] in ret[row['tst_c01']]:
ret[row['tst_c01']][row['tst_c02']].append(row)
else:
ret[row['tst_c01']][row['tst_c02']] = [row]
else:
ret[row['tst_c01']] = {row['tst_c02']: [row]}
return ret
def tst_test_rows_with_key1(p_count):
ret = {}
rows = StaticDataLayer.execute_sp_rows(
"select tst_test_rows_with_key1(%s::int)", p_count)
for row in rows:
if row['tst_c01'] in ret:
if row['tst_c02'] in ret[row['tst_c01']]:
if row['tst_c03'] in ret[row['tst_c01']][row['tst_c02']]:
raise Exception('Duplicate key for %s.' % str(
(row['tst_c01'], row['tst_c02'], row['tst_c03'])))
else:
ret[row['tst_c01']][row['tst_c02']][
row['tst_c03']] = row
else:
ret[row['tst_c01']][row['tst_c02']] = {row['tst_c03']: row}
else:
ret[row['tst_c01']] = {row['tst_c02']: {row['tst_c03']: row}}
return ret
def _get_routine_parameters_info(self):
query = """
select t2.parameter_name parameter_name
, t2.data_type parameter_type
, t2.udt_name column_type
from information_schema.routines t1
left outer join information_schema.parameters t2 on t2.specific_catalog = t1.specific_catalog and
t2.specific_schema = t1.specific_schema and
t2.specific_name = t1.specific_name and
t2.parameter_name is not null
where t1.routine_catalog = current_database()
and t1.routine_schema = current_schema()
and t1.routine_name = '%s'
order by t2.ordinal_position
""" % self._routine_name
routine_parameters = StaticDataLayer.execute_rows(query)
for routine_parameter in routine_parameters:
if routine_parameter['parameter_name']:
value = routine_parameter['column_type']
if 'character_set_name' in routine_parameter:
if routine_parameter['character_set_name']:
value += ' character set %s' % routine_parameter[
'character_set_name']
if 'collation' in routine_parameter:
if routine_parameter['character_set_name']:
value += ' collation %s' % routine_parameter[
'collation']
self._parameters.append({
'name':
routine_parameter['parameter_name'],
'data_type':
routine_parameter['parameter_type'],
'data_type_descriptor':
value
})
def _get_column_type(self):
"""
Selects schema, table, column names and the column type from MySQL and saves them as replace pairs.
"""
sql = """
select table_name "table_name"
, column_name "column_name"
, udt_name "column_type"
, null "table_schema"
from information_schema.columns
where table_catalog = current_database()
and table_schema = current_schema()
union all
select table_name "table_name"
, column_name "column_name"
, udt_name "column_type"
, table_schema "table_schema"
from information_schema.columns
where table_catalog = current_database()
order by table_schema
, table_name
, column_name
"""
rows = StaticDataLayer.execute_rows(sql)
for row in rows:
key = '@'
if row['table_schema']:
key += row['table_schema'] + '.'
key += row['table_name'] + '.' + row['column_name'] + '%type@'
key = key.lower()
value = row['column_type']
self._replace_pairs[key] = value
def _get_column_type(self):
"""
Selects schema, table, column names and the column type from MySQL and saves them as replace pairs.
"""
sql = """
select table_name "table_name"
, column_name "column_name"
, udt_name "column_type"
, null "table_schema"
from information_schema.columns
where table_catalog = current_database()
and table_schema = current_schema()
union all
select table_name "table_name"
, column_name "column_name"
, udt_name "column_type"
, table_schema "table_schema"
from information_schema.columns
where table_catalog = current_database()
order by table_schema
, table_name
, column_name
"""
rows = StaticDataLayer.execute_rows(sql)
for row in rows:
key = '@'
if row['table_schema']:
key += row['table_schema'] + '.'
key += row['table_name'] + '.' + row['column_name'] + '%type@'
key = key.lower()
value = row['column_type']
self._replace_pairs[key] = value
def get_bulk_insert_table_columns_info(self):
"""
Gets the column names and column types of the current table for bulk insert.
"""
query = """
select 1 from
information_schema.TABLES
where TABLE_SCHEMA = database()
and TABLE_NAME = '%s'""" % self._table_name
table_is_non_temporary = StaticDataLayer.execute_rows(query)
if len(table_is_non_temporary) == 0:
query = 'call %s()' % self._routine_name
StaticDataLayer.execute_sp_none(query)
query = "describe `%s`" % self._table_name
columns = StaticDataLayer.execute_rows(query)
tmp_column_types = []
tmp_fields = []
n1 = 0
for column in columns:
p = re.compile('(\\w+)')
c_type = p.findall(column['Type'])
tmp_column_types.append(c_type[0])
tmp_fields.append(column['Field'])
n1 += 1
n2 = len(self._columns)
if len(table_is_non_temporary) == 0:
query = "drop temporary table `%s`" % self._table_name
StaticDataLayer.execute_none(query)
if n1 != n2:
raise Exception(
"Number of fields %d and number of columns %d don't match." %
(n1, n2))
self._columns_types = tmp_column_types
self._fields = tmp_fields
def get_bulk_insert_table_columns_info(self):
"""
Gets the column names and column types of the current table for bulk insert.
"""
query = """
select 1 from
information_schema.TABLES
where TABLE_SCHEMA = database()
and TABLE_NAME = '%s'""" % self._table_name
table_is_non_temporary = StaticDataLayer.execute_rows(query)
if len(table_is_non_temporary) == 0:
query = 'call %s()' % self._routine_name
StaticDataLayer.execute_sp_none(query)
query = "describe `%s`" % self._table_name
columns = StaticDataLayer.execute_rows(query)
tmp_column_types = []
tmp_fields = []
n1 = 0
for column in columns:
p = re.compile('(\\w+)')
c_type = p.findall(column['Type'])
tmp_column_types.append(c_type[0])
tmp_fields.append(column['Field'])
n1 += 1
n2 = len(self._columns)
if len(table_is_non_temporary) == 0:
query = "drop temporary table `%s`" % self._table_name
StaticDataLayer.execute_none(query)
if n1 != n2:
raise Exception("Number of fields %d and number of columns %d don't match." % (n1, n2))
self._columns_types = tmp_column_types
self._fields = tmp_fields
def tst_test_singleton1a_with_lob(p_count, p_blob):
return StaticDataLayer.execute_sp_singleton1(
"select tst_test_singleton1a_with_lob(%s::int, %s::bytea)",
p_count, p_blob)
def tst_test_singleton1a(p_count):
return StaticDataLayer.execute_sp_singleton1(
"select tst_test_singleton1a(%s::int)", p_count)
def tst_test_argument_bool(p_bool):
return StaticDataLayer.execute_singleton1(
"select tst_test_argument_bool(%s::bool)", p_bool)
def tst_test_rows1(p_count):
return StaticDataLayer.execute_sp_rows(
"select tst_test_rows1(%s::int)", p_count)
def tst_test_rows1_with_lob(p_count, p_blob):
return StaticDataLayer.execute_sp_rows(
"select tst_test_rows1_with_lob(%s::int, %s::bytea)", p_count,
p_blob)
def tst_test_percent_symbol():
return StaticDataLayer.execute_sp_rows(
"select tst_test_percent_symbol()")
def tst_test_none_with_lob(p_count, p_blob):
return StaticDataLayer.execute_sp_none(
"select tst_test_none_with_lob(%s::bigint, %s::bytea)", p_count,
p_blob)
def tst_test_none(p_count):
return StaticDataLayer.execute_sp_none(
"select tst_test_none(%s::bigint)", p_count)
def tst_magic_constant01():
return StaticDataLayer.execute_sp_singleton1(
"select tst_magic_constant01()")
def tst_test_argument_date(p_date):
return StaticDataLayer.execute_singleton1(
"select tst_test_argument_date(%s::date)", p_date)
def tst_test_argument_bit(p_bit):
return StaticDataLayer.execute_singleton1(
"select tst_test_argument_bit(%s::bit(4))", p_bit)
def tst_test_log():
return StaticDataLayer.execute_sp_log("select tst_test_log()")
def tst_test_argument_bytea(p_bytea):
return StaticDataLayer.execute_singleton1(
"select tst_test_argument_bytea(%s::bytea)", p_bytea)
def tst_test_argument_numeric(p_num):
return StaticDataLayer.execute_singleton1(
"select tst_test_argument_numeric(%s::numeric)", p_num)
def tst_test_argument_char(p_char):
return StaticDataLayer.execute_singleton1(
"select tst_test_argument_char(%s::char)", p_char)
def tst_test_argument_timestamp(p_ts):
return StaticDataLayer.execute_singleton1(
"select tst_test_argument_timestamp(%s::timestamp)", p_ts)
def tst_test_argument_int(p_int):
return StaticDataLayer.execute_singleton1(
"select tst_test_argument_int(%s::int)", p_int)
def tst_test_function(p_a, p_b):
return StaticDataLayer.execute_singleton1(
"select tst_test_function(%s::int, %s::int)", p_a, p_b)
