blob: 8a5907ce51741d20c668d3bc9c4b05df73edb3b1 [file] [log] [blame]
# coding=utf-8
m4_changequote(`<!', `!>')
"""
@file control.py_in
@brief controller classes (e.g. iteration controller)
@namespace utilities
@brief driver functions shared by modules
"""
import plpy
from utilities import __mad_version
version_wrapper = __mad_version()
from utilities import unique_string
_unique_string = unique_string
class EnableOptimizer(object):
"""
@brief: A wrapper that enables/disables the optimizer and
then sets it back to the original value on exit
"""
def __init__(self, to_enable=True):
self.to_enable = to_enable
self.optimizer_enabled = False
self.guc_exists = True
def __enter__(self):
# we depend on the fact that all GPDB/HAWQ versions that have the ORCA
# optimizer also define function properties
m4_ifdef(<!__HAS_FUNCTION_PROPERTIES__!>, <!
optimizer = plpy.execute("show optimizer")[0]["optimizer"]
self.optimizer_enabled = True if optimizer == 'on' else False
plpy.execute("set optimizer={0}".format(('off', 'on')[self.to_enable]))
!>, <!
self.guc_exists = False
!>)
return self
def __exit__(self, *args):
if args and args[0]:
# an exception was raised in code. We return False so that any
# exception is re-raised after exit. The transaction will not
# commit leading to reset of client_min_messages.
return False
else:
if self.guc_exists:
plpy.execute("set optimizer={0}".
format(('off', 'on')[self.optimizer_enabled]))
class EnableHashagg(object):
"""
@brief: A wrapper that enables/disables the hashagg and then sets it back
to the original value on exit
"""
def __init__(self, to_enable=True):
self.to_enable = to_enable
self.hashagg_enabled = False
self.guc_exists = True
def __enter__(self):
try:
enable_hashagg = plpy.execute("show enable_hashagg")[0]["enable_hashagg"]
self.hashagg_enabled = True if enable_hashagg == 'on' else False
plpy.execute("set enable_hashagg={0}".
format(('off', 'on')[self.to_enable]))
except:
self.guc_exists = False
finally:
return self
def __exit__(self, *args):
if args and args[0]:
# an exception was raised in code. We return False so that any
# exception is re-raised after exit. The transaction will not
# commit leading to reset of client_min_messages.
return False
else:
if self.guc_exists:
plpy.execute("set enable_hashagg={0}".
format(('off', 'on')[self.hashagg_enabled]))
class MinWarning:
"""
@brief A wrapper for setting the level of logs going into client
"""
def __init__(self, warningLevel='error'):
self.warningLevel = warningLevel
def __enter__(self):
self.oldMsgLevel = plpy.execute("""
SELECT setting FROM pg_settings WHERE name='client_min_messages'
""")[0]['setting']
plpy.execute("""
SET client_min_messages = {warningLevel}
""".format(warningLevel=self.warningLevel))
return self
def __exit__(self, *args):
if args and args[0]:
# an exception was raised in code. We return False so that any
# exception is re-raised after exit. The transaction will not
# commit leading to reset of client_min_messages.
return False
else:
# if no exception then we reset the client_min_messages
plpy.execute("""
SET client_min_messages = {oldMsgLevel};
""".format(oldMsgLevel=self.oldMsgLevel))
class IterationController:
"""
@brief Abstraction for implementing driver functions in PL/Python
This class encapsulates handling of the inter-iteration state. The design
goal is to avoid any conversion between backend-native types and those of
procedureal languages like PL/Python. Therefore, the expectation is that
***all only "template" parameters are passes as PL/Python arguments***,
whereas non-template arguments are provided in an argument table. Here,
"template" arguments are those parameters that cannot be SQL parameters,
***such as table and column names***.
The inter-state iteration table contains two columns:
- <tt>_iteration INTEGER</tt> - The 0-based iteration number
- <tt>_state <em>self.kwargs.stateType</em></tt> - The state (after
iteration \c _interation)
"""
def __init__(self, rel_args, rel_state, stateType,
temporaryTables=True,
truncAfterIteration=False,
schema_madlib="MADLIB_SCHEMA_MISSING",
verbose=False,
initialize_state=False,
**kwargs):
self.kwargs = kwargs
self.kwargs.update(
unqualified_rel_state=rel_state,
rel_args=('pg_temp.' if temporaryTables else '') + rel_args,
rel_state=('pg_temp.' if temporaryTables else '') + rel_state,
stateType=stateType.format(schema_madlib=schema_madlib),
schema_madlib = schema_madlib)
self.temporaryTables = temporaryTables
self.truncAfterIteration = truncAfterIteration
self.verbose = verbose
self.inWith = False
self.iteration = -1
self.initialize_state = initialize_state
m4_ifdef(<!__HAWQ__!>, <!
self.new_state={"_iteration": 0, "_state": None}
self.old_state={"_iteration": 0, "_state": None}
!>)
def __enter__(self):
with MinWarning('warning'):
self.runSQL("""
DROP TABLE IF EXISTS {rel_state};
CREATE {temp} TABLE {unqualified_rel_state} (
_iteration INTEGER m4_ifdef(<!__HAWQ__!>, <!!>, <!PRIMARY KEY!>),
_state {stateType}
)m4_ifdef(<!__POSTGRESQL__!>, <!!>, <!DISTRIBUTED BY (_iteration)!>);
""".format(
temp = 'TEMPORARY' if self.temporaryTables else '',
**self.kwargs))
if self.initialize_state:
self.runSQL("""
INSERT INTO {rel_state} VALUES (0, NULL)
""".format(**self.kwargs))
self.inWith = True
return self
def __exit__(self, type, value, tb):
self.inWith = False
m4_ifdef(<!__HAWQ__!>, <!
insert_plan = plpy.prepare("""
INSERT INTO {rel_state}
SELECT $1, $2
""".format(**self.kwargs), [ "INTEGER", "DOUBLE PRECISION[]" ])
plpy.execute(insert_plan, [ self.new_state['_iteration'], self.new_state['_state'] ])
!>)
def runSQL(self, sql):
if self.verbose:
plpy.notice(sql)
return plpy.execute(sql)
def evaluate(self, expression):
"""
Evaluate the given expression. The expression may depend on
the current inter-iteration state and all arguments
@param expression SQL expression. The
following names are defined and can be used in the condition:
- \c _args - The (single-row) argument table
- \c _state - The row of the state table containing the latest
inter-iteration state
@return None if \c expression evaluates to NULL, otherwise the value of
\c expression
"""
## For GPDB 4.3 we disable the optimizer (ORCA) for the query planner
## since currently ORCA has a bug for left outer joins (MPP-21868).
## This should be removed when the issue is fixed in ORCA.
if version_wrapper.is_gp43() or version_wrapper.is_hawq():
optimizer = plpy.execute("SHOW optimizer")[0]['optimizer']
plpy.execute("SET optimizer = off")
m4_ifdef(<!__HAWQ__!>, <!
eval_plan = plpy.prepare("""
SELECT ({expression}) AS expression
FROM {{rel_args}} AS _args
LEFT OUTER JOIN (
SELECT $1 AS _state
) AS _state ON True
""".format(expression = expression).format(
iteration = self.iteration,
**self.kwargs), [ "DOUBLE PRECISION[]" ])
resultObject = plpy.execute(eval_plan, [ [] if self.new_state['_state'] is None else self.new_state['_state'] ])
!>, <!
resultObject = self.runSQL("""
SELECT ({expression}) AS expression
FROM {{rel_args}} AS _args
LEFT OUTER JOIN (
SELECT _state
FROM {{rel_state}} AS _state
WHERE _state._iteration = {{iteration}}
) AS _state ON True
""".format(expression = expression).format(
iteration = self.iteration,
**self.kwargs))
!>)
if version_wrapper.is_gp43() or version_wrapper.is_hawq():
plpy.execute("SET optimizer = " + optimizer)
if resultObject.nrows() == 0:
return None
else:
return resultObject[0]['expression']
def test(self, condition):
"""
Test if the given condition is satisfied. The condition may depend on
the current inter-iteration state and all arguments
@param condition Boolean SQL expression. The
following names are defined and can be used in the condition:
- \c _args - The (single-row) argument table
- \c _state - The row of the state table containing the latest
inter-iteration state
@return None if \c condition evaluates to NULL, otherwise the Boolean
value of \c condition
"""
return self.evaluate("""
CAST(({condition}) AS BOOLEAN)
""".format(condition = condition))
def update(self, newState, **updateKwargs):
"""
Update the inter-iteration state
@param newState SQL expression of type
<tt>stateType.kwargs.stateType</tt>. The
following names are defined and can be used in the condition:
- \c _args - The (single-row) argument table
- \c _state - The row of the state table containing the latest
inter-iteration state
.
Note that <tt>{iteration}</tt> will still be the current iteration.
For instance, it could be used in the expression as a WHERE
condition: <tt>[...] WHERE _state._iteration = {iteration}</tt>
This updates the current inter-iteration state to the result of
evaluating \c newState. If <tt>self.truncAfterIteration</tt> is true,
this will replace the old state, otherwise the history of all old states
is kept.
"""
updateKwargs.update(**self.kwargs)
newState = newState.format(
iteration = self.iteration,
**updateKwargs)
self.iteration = self.iteration + 1
m4_ifdef(<!__HAWQ__!>, <!
self.old_state = self.new_state
update_plan = plpy.prepare("""
SELECT
{iteration} AS _iteration,
({newState}) AS _state
""".format(
iteration = self.iteration,
newState = newState,
**self.kwargs).format(__state__='$1'), [ "DOUBLE PRECISION[]" ])
self.new_state = plpy.execute(update_plan, [ None if self.new_state['_state'] is None else self.new_state['_state'] ])[0]
# Deal with possible double underflow
#self.new_state['_state'] = map(lambda r: 1e-307 if abs(r) < 1e-307 else r, self.new_state['_state'])
!>, <!
self.runSQL("""
INSERT INTO {rel_state}
SELECT
{iteration},
({newState})
""".format(
iteration = self.iteration,
newState = newState,
**self.kwargs))
!>)
m4_ifdef(<!__HAWQ__!>, <!!>, <!
if self.truncAfterIteration:
self.runSQL("""
DELETE FROM {rel_state} AS _state
WHERE _state._iteration < {iteration}
""".format(iteration = self.iteration, **self.kwargs))
!>)
class IterationController2D(IterationController):
"""
@brief In-memory Iteration for 2-D array states
"""
def __exit__(self, type, value, tb):
self.inWith = False
m4_ifdef(<!__HAWQ__!>, <!
insert_plan = plpy.prepare("""
INSERT INTO {rel_state}
SELECT $1, {schema_madlib}.array_to_2d($2)
""".format(**self.kwargs), [ "INTEGER", "DOUBLE PRECISION[]" ])
plpy.execute(insert_plan, [ self.new_state['_iteration'], self.new_state['_state'] ])
!>)
def evaluate(self, expression):
"""
Evaluate the given expression. The expression may depend on
the current inter-iteration state and all arguments
@param expression SQL expression. The
following names are defined and can be used in the condition:
- \c _args - The (single-row) argument table
- \c _state - The row of the state table containing the latest
inter-iteration state
@return None if \c expression evaluates to NULL, otherwise the value of
\c expression
"""
## For GPDB 4.3 we disable the optimizer (ORCA) for the query planner
## since currently ORCA has a bug for left outer joins (MPP-21868).
## This should be removed when the issue is fixed in ORCA.
if version_wrapper.is_gp43() or version_wrapper.is_hawq():
optimizer = plpy.execute("SHOW optimizer")[0]['optimizer']
plpy.execute("SET optimizer = off")
m4_ifdef(<!__HAWQ__!>, <!
eval_plan = plpy.prepare("""
SELECT ({expression}) AS expression
FROM {{rel_args}} AS _args
LEFT OUTER JOIN (
SELECT {{schema_madlib}}.array_to_2d($1) AS _state
) AS _state ON True
""".format(expression = expression).format(
**self.kwargs), [ "DOUBLE PRECISION[]" ])
resultObject = plpy.execute(eval_plan, [ [] if self.new_state['_state'] is None else self.new_state['_state'] ])
!>, <!
resultObject = self.runSQL("""
SELECT ({expression}) AS expression
FROM {{rel_args}} AS _args
LEFT OUTER JOIN (
SELECT *
FROM {{rel_state}} AS _state
WHERE _state._iteration = {{iteration}}
) AS _state ON True
""".format(expression = expression).format(
iteration = self.iteration,
**self.kwargs))
!>)
if version_wrapper.is_gp43() or version_wrapper.is_hawq():
plpy.execute("SET optimizer = " + optimizer)
if resultObject.nrows() == 0:
return None
else:
return resultObject[0]['expression']
def update(self, newState, **updateKwargs):
"""
Update the inter-iteration state
@param newState SQL expression of type
<tt>stateType.kwargs.stateType</tt>. The
following names are defined and can be used in the condition:
- \c _args - The (single-row) argument table
- \c _state - The row of the state table containing the latest
inter-iteration state
.
Note that <tt>{iteration}</tt> will still be the current iteration.
For instance, it could be used in the expression as a WHERE
condition: <tt>[...] WHERE _state._iteration = {iteration}</tt>
This updates the current inter-iteration state to the result of
evaluating \c newState. If <tt>self.truncAfterIteration</tt> is true,
this will replace the old state, otherwise the history of all old states
is kept.
"""
updateKwargs.update(**self.kwargs)
newState = newState.format(
iteration=self.iteration,
**updateKwargs)
self.iteration = self.iteration + 1
m4_ifdef(<!__HAWQ__!>, <!
self.old_state = self.new_state
update_plan = plpy.prepare("""
SELECT
{iteration} AS _iteration,
{schema_madlib}.array_to_1d(({newState})) AS _state
""".format(
iteration=self.iteration,
newState=newState,
**self.kwargs), [ "DOUBLE PRECISION[]" ])
self.new_state = plpy.execute(update_plan,
[ None if self.new_state['_state'] is None
else self.new_state['_state'] ])[0]
!>, <!
self.runSQL("""
INSERT INTO {rel_state}
SELECT
{iteration},
({newState})
""".format(
iteration=self.iteration,
newState=newState,
**self.kwargs))
!>)
m4_ifdef(<!__HAWQ__!>, <!!>, <!
if self.truncAfterIteration:
self.runSQL("""
DELETE FROM {rel_state} AS _state
WHERE _state._iteration < {iteration}
""".format(iteration=self.iteration, **self.kwargs))
!>)
class IterationController2S(IterationController):
"""
@brief Designed for the case where the state type is 1-D double array and
both the old state and new state are required
"""
def evaluate(self, expression):
m4_ifdef(<!__HAWQ__!>, <!
eval_plan = plpy.prepare("""
SELECT ({expression}) AS expression
FROM {{rel_args}} AS _args
LEFT OUTER JOIN (
SELECT
$1 AS _state_previous,
$2 AS _state_current
) AS _state ON True
""".format(expression = expression).format(
iteration = self.iteration,
**self.kwargs), [ "DOUBLE PRECISION[]", "DOUBLE PRECISION[]" ])
resultObject = plpy.execute(eval_plan, [
self.old_state['_state'], self.new_state['_state'] ])
!>, <!
resultObject = self.runSQL("""
SELECT ({expression}) AS expression
FROM {{rel_args}} AS _args
LEFT OUTER JOIN (
SELECT
_state_previous, _state_current
FROM
(
SELECT _state AS _state_previous
FROM {{rel_state}}
WHERE _iteration = {{iteration}} - 1
) sub1,
(
SELECT _state AS _state_current
FROM {{rel_state}}
WHERE _iteration = {{iteration}}
) sub2
) AS _state ON True
""".format(expression = expression).format(
iteration = self.iteration,
**self.kwargs))
!>)
if resultObject.nrows() == 0:
return None
else:
return resultObject[0]['expression']
m4_ifdef(<!__HAWQ__!>, <!
def get_state_size(self):
return len(self.new_state)
def get_state_value(self, index):
return self.new_state['_state'][index]
!>)
m4_changequote(<!`!>, <!'!>)