simple udf code generation

This commit is contained in:
2022-07-29 22:45:51 +08:00
parent ece2a6cc9f
commit 5b1bbf0f99
58 changed files with 2642 additions and 1588 deletions
+11
View File
@@ -0,0 +1,11 @@
# TODO:
## 1. double scans in projections
- first for special aggrigations and singular columns
- Then in group by node decide if we have special group by aggregations
- If sp_gb_agg exists, the entire groupby aggregation is done in C plugin
- If not, group by is done in SQL
## 2. ColRef supports multiple objects
- A.a = B.b then in projection A.a B.b will refer to same projection
- Colref::ProjEq(ColRef v) => this == v or v in this.proj_eqs
+455 -66
View File
@@ -1,7 +1,9 @@
from re import T
from typing import Set, Tuple
from copy import deepcopy
from dataclasses import dataclass
from enum import Enum, auto
from typing import Set, Tuple, Dict, Union, List, Optional
from engine.types import *
from engine.utils import enlist, base62uuid, base62alp, get_leagl_name
from engine.utils import enlist, base62uuid, base62alp, get_legal_name
from reconstruct.storage import Context, TableInfo, ColRef
class ast_node:
@@ -9,11 +11,14 @@ class ast_node:
types = dict()
first_order = False
def __init__(self, parent:"ast_node", node, context:Context = None):
def __init__(self, parent:Optional["ast_node"], node, context:Optional[Context] = None):
self.context = parent.context if context is None else context
self.parent = parent
self.sql = ''
self.datasource = None
if hasattr(parent, 'datasource'):
self.datasource = parent.datasource
else:
self.datasource = None
self.init(node)
self.produce(node)
self.spawn(node)
@@ -38,7 +43,7 @@ class ast_node:
self.emit(self.sql+';\n')
from reconstruct.expr import expr
from reconstruct.expr import expr, fastscan
class projection(ast_node):
@@ -70,10 +75,6 @@ class projection(ast_node):
else:
self.where = None
if 'groupby' in node:
self.group_node = groupby(self, node['groupby'])
else:
self.group_node = None
def consume(self, node):
# deal with projections
@@ -82,9 +83,9 @@ class projection(ast_node):
col_ext : Set[ColRef]= set()
col_exprs : List[Tuple[str, Types]] = []
proj_map = dict()
proj_map : Dict[int, List[Union[Types, int, str, expr]]]= dict()
var_table = dict()
self.sp_refs = set()
for i, proj in enumerate(self.projections):
compound = False
self.datasource.rec = set()
@@ -102,25 +103,26 @@ class projection(ast_node):
name = eval('f\'' + name + '\'')
if name not in var_table:
var_table[name] = len(col_exprs)
proj_map[i] = [this_type, len(col_exprs)]
proj_map[i] = [this_type, len(col_exprs), proj_expr]
col_exprs.append((name, proj_expr.type))
else:
self.context.headers.add('"./server/aggregations.h"')
if self.datasource.rec is not None:
col_ext = col_ext.union(self.datasource.rec)
proj_map[i] = [this_type, proj_expr.sql]
col_ext = col_ext.union(self.datasource.rec) # TODO: make this one var?
self.sp_refs = self.sp_refs.union(self.datasource.rec)
proj_map[i] = [this_type, proj_expr.sql, proj_expr]
if 'name' in proj: # renaming column by AS keyword
name += ' AS ' + proj['name']
if not proj_expr.is_special:
var_table[proj['name']] = len(col_exprs)
disp_name = get_leagl_name(name)
disp_name = get_legal_name(name)
elif type(proj) is str:
col = self.datasource.get_col(proj)
this_type = col.type
name = col.name
# name = col.name
self.datasource.rec = None
# TODO: Type deduction in Python
cols.append(ColRef(this_type, self.out_table, None, disp_name, i, compound=compound))
@@ -133,13 +135,17 @@ class projection(ast_node):
if col not in var_table:
var_table[col] = i + _base_offset
def finialize(astnode:ast_node):
if(astnode is not None):
self.add(astnode.sql)
self.add('FROM')
finialize(self.datasource)
finialize(self.where)
finialize(self.group_node)
if 'groupby' in node:
self.group_node = groupby(self, node['groupby'])
else:
self.group_node = None
if 'orderby' in node:
self.add(orderby(self, node['orderby']).sql)
if 'outfile' in node:
@@ -149,6 +155,8 @@ class projection(ast_node):
else:
# TODO: subquery, name create tmp-table from subquery w/ alias as name
pass
# cpp module codegen
self.context.has_dll = True
# extract typed-columns from result-set
@@ -159,44 +167,59 @@ class projection(ast_node):
self.context.emitc(f'auto {length_name} = server->cnt;')
for v, idx in var_table.items():
vname = get_leagl_name(v) + '_' + base62uuid(3)
vname = get_legal_name(v) + '_' + base62uuid(3)
pyname2cname[v] = vname
self.context.emitc(f'auto {vname} = ColRef<{typenames[idx].cname}>({length_name}, server->getCol({idx}));')
vid2cname[idx] = vname
# Create table into context
outtable_name = 'out_' + base62uuid(6)
out_typenames = [None] * len(proj_map)
for key, val in proj_map.items():
if type(val[1]) is str:
x = True
y = lambda t: pyname2cname[t]
val[1] = eval('f\'' + val[1] + '\'')
val[1] = val[2].eval(x, y, gettype=True)
if callable(val[1]):
val[1] = val[1](True)
decltypestring = val[1]
if val[0] == LazyT:
out_typenames[key] = f'value_type<decays<decltype({val[1]})>>'
out_typenames[key] = f'value_type<decays<decltype({decltypestring})>>'
else:
out_typenames[key] = val[0].cname
# out_typenames = [v[0].cname for v in proj_map.values()]
self.context.emitc(f'auto {outtable_name} = new TableInfo<{",".join(out_typenames)}>("{outtable_name}");')
for key, val in proj_map.items():
if type(val[1]) is int:
self.context.emitc(f'{outtable_name}->get_col<{key}>().initfrom({vid2cname[val[1]]});')
else:
# for funcs evaluate f_i(x, ...)
self.context.emitc(f'{outtable_name}->get_col<{key}>() = {val[1]};')
# TODO: Inject custom group by code here and flag them in proj_map
# Type of UDFs? Complex UDFs, ones with static vars?
if self.group_node is not None:
gb_vartable : Dict[str, Union[str, int]] = deepcopy(pyname2cname)
gb_cexprs : List[str] = []
for key, val in proj_map.items():
col_name = 'col_' + base62uuid(6)
self.context.emitc(f'auto {col_name} = {outtable_name}->get_col<{key}>();')
gb_cexprs.append((col_name, val[2]))
self.group_node.finalize(gb_cexprs, gb_vartable)
else:
for key, val in proj_map.items():
if type(val[1]) is int:
self.context.emitc(f'{outtable_name}->get_col<{key}>().initfrom({vid2cname[val[1]]});')
else:
# for funcs evaluate f_i(x, ...)
self.context.emitc(f'{outtable_name}->get_col<{key}>() = {val[1]};')
# print out col_is
self.context.emitc(f'print(*{outtable_name});')
class orderby(ast_node):
name = 'order by'
def produce(self, node):
if node is None:
self.sql = ''
return
elif type(node) is not list:
node = [node]
node = enlist(node)
o_list = []
for o in node:
@@ -206,11 +229,172 @@ class orderby(ast_node):
o_list.append(o_str)
self.add(', '.join(o_list))
class scan(ast_node):
name = 'scan'
def __init__(self, parent: "ast_node", node, loop_style = 'for', context: Context = None, const = False):
self.const = "const " if const else ""
self.loop_style = loop_style
super().__init__(parent, node, context)
def init(self, _):
self.datasource = self.context.datasource
self.initializers = ''
self.start = ''
self.front = ''
self.body = ''
self.end = '}'
scan_vars = set(s.it_var for s in self.context.scans)
self.it_ver = 'i' + base62uuid(2)
while(self.it_ver in scan_vars):
self.it_ver = 'i' + base62uuid(6)
self.parent.context.scans.append(self)
def produce(self, node):
if self.loop_style == 'for_each':
self.colref = node
self.start += f'for ({self.const}auto& {self.it_ver} : {node.cobj}) {{\n'
else:
self.start += f"for (uint32_t {self.it_ver} = 0; {self.it_ver} < {node}; ++{self.it_ver}){{\n"
class groupby(orderby):
def add(self, stmt, position = "body"):
if position == "body":
self.body += stmt + '\n'
elif position == "init":
self.initializers += stmt + '\n'
else:
self.front += stmt + '\n'
def finalize(self):
self.context.remove_scan(self, self.initializers + self.start + self.front + self.body + self.end)
class groupby_c(ast_node):
name = '_groupby'
def produce(self, node : List[Tuple[expr, Set[ColRef]]]):
self.context.headers.add('"./server/hasher.h"')
self.context.headers.add('unordered_map')
self.group = 'g' + base62uuid(7)
self.group_type = 'record_type' + base62uuid(7)
self.datasource = self.parent.datasource
self.scanner = None
self.datasource.rec = set()
g_contents = ''
g_contents_list = []
first_col = ''
for g in node:
e = g[0]
g_str = e.eval(c_code = True)
# if v is compound expr, create tmp cols
if e.is_ColExpr:
tmpcol = 't' + base62uuid(7)
self.emit(f'auto {tmpcol} = {g_str};')
e = tmpcol
g_contents_list.append(e)
first_col = g_contents_list[0]
g_contents_decltype = [f'decays<decltype({c})>' for c in g_contents_list]
g_contents = ','.join(g_contents_list)
self.emit(f'typedef record<{",".join(g_contents_decltype)}> {self.group_type};')
self.emit(f'unordered_map<{self.group_type}, vector_type<uint32_t>, '
f'transTypes<{self.group_type}, hasher>> {self.group};')
self.n_grps = len(node)
self.scanner = scan(self, first_col + '.size')
self.scanner.add(f'{self.group}[forward_as_tuple({g_contents}[{self.scanner.it_ver}])].emplace_back({self.scanner.it_ver});')
def consume(self, _):
self.scanner.finalize()
# def deal_with_assumptions(self, assumption:assumption, out:TableInfo):
# gscanner = scan(self, self.group)
# val_var = 'val_'+base62uuid(7)
# gscanner.add(f'auto &{val_var} = {gscanner.it_ver}.second;')
# gscanner.add(f'{self.datasource.cxt_name}->order_by<{assumption.result()}>(&{val_var});')
# gscanner.finalize()
def finalize(self, cexprs : List[Tuple[str, expr]], var_table : Dict[str, Union[str, int]]):
gscanner = scan(self, self.group)
key_var = 'key_'+base62uuid(7)
val_var = 'val_'+base62uuid(7)
gscanner.add(f'auto &{key_var} = {gscanner.it_ver}.first;')
gscanner.add(f'auto &{val_var} = {gscanner.it_ver}.second;')
len_var = None
def define_len_var():
nonlocal len_var
if len_var is None:
len_var = 'len_'+base62uuid(7)
gscanner.add(f'auto &{len_var} = {val_var}.size;', position = 'front')
def get_var_names (varname : str):
var = var_table[varname]
if type(var) is str:
return f'{var}[{val_var}]'
else:
return f'get<{var}>({key_var})'
for ce in cexprs:
ex = ce[1]
materialize_builtin = {}
if type(ex.udf) is udf:
if '_builtin_len' in ex.udf.builtin_used:
define_len_var()
materialize_builtin['_builtin_len'] = len_var
if '_builtin_ret' in ex.udf.builtin_used:
define_len_var()
gscanner.add(f'{ce[0]}.emplace_back({{{len_var}}});\n')
materialize_builtin['_builtin_ret'] = f'{ce[0]}.back()'
gscanner.add(f'{ex.eval(c_code = True, y=get_var_names, materialize_builtin = materialize_builtin)};\n')
continue
gscanner.add(f'{ce[0]}.emplace_back({ex.eval(c_code = True, y=get_var_names, materialize_builtin = materialize_builtin)});\n')
gscanner.finalize()
self.datasource.groupinfo = None
class groupby(ast_node):
name = 'group by'
@property
def use_sp_gb (self):
return len(self.sp_refs) > 0
def produce(self, node):
if type(self.parent) is not projection:
raise ValueError('groupby can only be used in projection')
sp_refs = self.parent.sp_refs
node = enlist(node)
o_list = []
self.dedicated_glist = []
self.refs : Set[ColRef] = set()
self.sp_refs : Set[ColRef] = set()
for g in node:
self.datasource.rec = set()
g_expr = expr(self, g['value'])
refs : Set[ColRef] = self.datasource.rec
self.datasource.rec = None
this_sp_ref = refs.difference(sp_refs)
this_ref = refs.intersection(this_sp_ref)
# TODO: simplify this
self.refs = self.refs.union(this_ref)
self.sp_refs = self.sp_refs.union(this_sp_ref)
self.dedicated_glist.append((g_expr, refs))
g_str = g_expr.eval(c_code = False)
if 'sort' in g and f'{g["sort"]}'.lower() == 'desc':
g_str = g_str + ' ' + 'DESC'
o_list.append(g_str)
if not self.use_sp_gb:
self.dedicated_gb = None
self.add(', '.join(o_list))
def finalize(self, cexprs : List[Tuple[str, expr]], var_table : Dict[str, Union[str, int]]):
if self.use_sp_gb:
self.dedicated_gb = groupby_c(self.parent, self.dedicated_glist)
self.dedicated_gb.finalize(cexprs, var_table)
class join(ast_node):
name = 'join'
def init(self, _):
@@ -233,7 +417,7 @@ class join(ast_node):
self.tables_dir[tbls.table_name] = tbls
for a in tbls.alias:
self.tables_dir[a] = tbls
elif type(tbls) is projection:
self.joins.append(alias(tbls.finalize()))
@@ -257,7 +441,6 @@ class join(ast_node):
tbl = self.context.tables_byname[table_name]
if 'name' in node:
tbl.add_alias(node['name'])
self.append(tbl, alias)
else:
keys = node.keys()
@@ -271,7 +454,10 @@ class join(ast_node):
self.tables_dir = {**self.tables_dir, **j.tables_dir}
elif type(node) is str:
self.append(self.context.tables_byname[node])
if node in self.context.tables_byname:
self.append(self.context.tables_byname[node])
else:
print(f'Error: table {node} not found.')
def get_cols(self, colExpr: str) -> ColRef:
for t in self.tables:
@@ -324,9 +510,7 @@ class create_table(ast_node):
self.sql += ')'
if self.context.use_columnstore:
self.sql += ' engine=ColumnStore'
class insert(ast_node):
name = 'insert'
first_order = name
@@ -405,56 +589,261 @@ class outfile(ast_node):
class udf(ast_node):
name = 'udf'
first_order = name
@dataclass
class builtin_var:
enabled : bool = False
_type : Types = AnyT
all = ('_builtin_len', '_builtin_ret')
def decltypecall(self, c_code = False, *args):
from engine.types import fn_behavior
class dummy:
def __init__(self, name):
self.cname = name + '_gettype'
self.sqlname = self.cname
return fn_behavior(dummy(self.cname), c_code, *args)
def __call__(self, c_code = False, *args):
from engine.types import fn_behavior
return fn_behavior(self, c_code, *args)
builtin_args = [f'{{{n}()}}' for n, v in self.builtin.items() if v.enabled]
return fn_behavior(self, c_code, *args, *builtin_args)
def return_type(self, *_ : Types):
return LazyT
def init(self, node):
def init(self, _):
self.builtin : Dict[str, udf.builtin_var] = {
'_builtin_len' : udf.builtin_var(False, UIntT),
'_builtin_ret' : udf.builtin_var(False, Types(
255, name = 'generic_ref', cname = 'auto&'
))
}
self.var_table = {}
self.args = []
if self.context.udf is None:
self.context.udf = Context.udf_head
self.context.headers.add('\"./udf.hpp\"')
self.vecs = set()
self.code_list = []
self.builtin_used = None
def add(self, *code):
ccode = ''
for c in code:
if type(c) is str:
ccode += c
else:
self.code_list.append(ccode)
self.code_list.append(c)
ccode = ''
if ccode:
self.code_list.append(ccode)
def produce(self, node):
from engine.utils import get_leagl_name, check_leagl_name
from engine.utils import get_legal_name, check_legal_name
node = node[self.name]
# register udf
self.cname = get_leagl_name(node['fname'])
self.agg = 'Agg' in node
self.cname = get_legal_name(node['fname'])
self.sqlname = self.cname
self.context.udf_map[self.cname] = self
self.ccode = f'auto {self.cname} = []('
if self.agg:
self.context.udf_agg_map[self.cname] = self
self.add(f'auto {self.cname} = [](')
def get_block(self, ind, node):
if 'stmt' in node:
old_ind = ind
ind += '\t'
next_stmt = enlist(node['stmt'])
if len(next_stmt) > 1:
self.add(f' {{\n')
self.get_stmt(ind ,next_stmt)
self.add(f'{old_ind}}}\n')
else:
self.get_stmt(ind, next_stmt)
def get_cname(self, x:str):
return self.var_table[x]
def get_assignment(self, ind, node, *, types = 'auto', sep = ';\n'):
var_ex = expr(self, node['var'], c_code=True, supress_undefined = True)
ex = expr(self, node['expr'], c_code=True)
var = var_ex.eval(y=self.get_cname)
if var in self.var_table or hasattr(var_ex, 'builtin_var'):
op = '='
if 'op' in node and node['op'] != ':=':
op = node['op']
e = ex.eval(y=self.get_cname)
def assign_behavior(decltypestr = False):
nonlocal ind, var, op, e, sep
v = var(decltypestr) if callable(var) else var
_e = e(decltypestr) if callable(e) else e
if v == '_builtin_ret':
return f'{ind}return {_e}{sep}'
elif '_builtin_ret' not in _e:
return f'{ind}{v} {op} {_e}{sep}'
else:
return ''
self.add(assign_behavior)
else:
cvar = get_legal_name(var)
self.var_table[var] = cvar
self.add(f'{ind}{types} {cvar} = ', ex.eval(y=self.get_cname), sep)
def get_stmt(self, ind, node):
node = enlist(node)
for n in node:
if 'if' in n:
_ifnode = n['if']
self.add(f'{ind}if(', expr(self, _ifnode["cond"]).eval(y=self.get_cname), ')')
if 'stmt' in _ifnode:
self.get_block(ind, _ifnode)
else:
self.add('\n')
self.get_stmt(ind + '\t', _ifnode)
if 'elif' in _ifnode:
for e in n['elif']:
self.add(f'{ind}else if(', expr(self, e["cond"]).eval(y=self.get_cname), ')')
self.get_block(ind, e)
if 'else' in _ifnode:
self.add(f'{ind}else ')
self.get_block(ind, _ifnode['else'])
elif 'for' in n:
_fornode = n['for']
defs = _fornode['defs']
self.add(f'{ind}for({"auto " if len(enlist(defs["op"])) != 0 else ";"}')
def get_inline_assignments(node, end = '; '):
var = enlist(node['var'])
op = enlist(node['op'])
expr = enlist(node['expr'])
len_node = len(enlist(op))
for i, (v, o, e) in enumerate(zip(var, op, expr)):
self.get_assignment('', {'var' : v, 'op' : o, 'expr' : e}, types = '', sep = ', ' if i != len_node - 1 else end)
get_inline_assignments(defs)
self.add(expr(self, _fornode["cond"]).eval(y=self.get_cname), '; ')
get_inline_assignments(_fornode['tail'], ') ')
if 'stmt' in _fornode:
self.get_block(ind, _fornode)
else:
self.add('\n')
self.get_stmt(ind + '\t', _fornode)
elif 'assignment' in n:
assign = n['assignment']
self.get_assignment(ind, assign)
def consume(self, node):
from engine.utils import get_leagl_name, check_leagl_name
from engine.utils import get_legal_name, check_legal_name
node = node[self.name]
if 'params' in node:
for args in node['params']:
cname = get_leagl_name(args)
cname = get_legal_name(args)
self.var_table[args] = cname
self.args.append(cname)
self.ccode += ', '.join([f'auto {a}' for a in self.args]) + ') {\n'
front = [*self.code_list, ', '.join([f'auto {a}' for a in self.args])]
self.code_list = []
if 'assignment' in node:
for assign in node['assignment']:
var = assign['var']
ex = expr(self, assign['expr'], c_code=True)
if var in self.var_table:
self.ccode += f'\t{var} = {ex.eval()};\n'
else:
cvar = get_leagl_name(var)
self.var_table[var] = cvar
self.ccode += f'\tauto {cvar} = {ex.eval()};\n'
self.with_storage = False
self.with_statics = False
self.static_decl : Optional[List[str]] = None
ind = '\t'
if 'static_decl' in node:
self.add(') {\n')
curr = node['static_decl']
self.with_statics = True
if 'var' in curr and 'expr' in curr:
if len(curr['var']) != len(curr['expr']):
print("Error: every static variable must be initialized.")
self.static_decl = []
for v, e in zip(curr['var'], curr['expr']):
cname = get_legal_name(v)
self.var_table[v] = cname
self.static_decl.append(f'{cname} = ', expr(self, e, c_code=True).eval(self.get_cname))
self.add(f'{ind}static auto {"; static auto ".join(self.static_decl)};\n')
self.add(f'{ind}auto reset = [=]() {{ {"; ".join(self.static_decl)}; }};\n')
self.add(f'{ind}auto call = []({", ".join([f"decltype({a}) {a}" for a in self.args])}')
ind = '\t\t'
front = [*front, *self.code_list]
self.code_list = []
if 'stmt' in node:
self.get_stmt(ind, node['stmt'])
# first scan to determine vec types
# if self.agg:
# for assign in node['assignment']:
# var = fastscan(assign['var'])
# ex = fastscan(assign['expr'])
# self.vecs.union(var.vec_vars)
# self.vecs.union(var.requested_lens)
# self.vecs.union(ex.vec_vars)
# self.vecs.union(ex.requested_lens)
# if len(self.vecs) != 0:
# self.idx_var = 'idx_' + base62uuid(5)
# self.ccode += f'{ind}auto {self.idx_var} = 0;\n'
ret = node['ret']
self.ccode += f'\treturn {expr(self, ret, c_code=True).eval()};'
self.ccode += '\n};\n'
print(self.ccode)
def return_call(decltypestr = False):
if (decltypestr):
return ''
ret = ''
for r in self.return_call:
if callable(r):
ret += r(False)
else:
ret += r
return ret
self.return_call = (f'{ind}return ', expr(self, ret, c_code=True).eval(self.get_cname), ';\n')
self.add(return_call)
if self.with_statics:
self.add('\t};\n')
self.add('\treturn std::make_pair(reset, call);\n')
self.add('};\n')
self.context.udf += self.ccode + '\n'
#print(self.ccode)
self.builtin_args = [(name, var._type.cname) for name, var in self.builtin.items() if var.enabled]
# self.context.udf += front + builtin_argstr + self.ccode + '\n'
self.finalize(front)
def finalize(self, front):
builtin_argstr = ', ' if len(self.builtin_args) and len(self.args) else ''
builtin_argstr += ', '.join([f'{t} {n}' for (n, t) in self.builtin_args])
self.builtin_used = [b for b, v in self.builtin.items() if v.enabled]
ccode = ''
def process_recursion(l, decltypestr = False):
nonlocal ccode
for c in l:
if type(c) is str:
ccode += c
elif callable(c):
ccode += c(decltypestr) # a callback function
else:
raise ValueError(f'Illegal operation in udf code generation: {c}')
process_recursion(front)
ccode += builtin_argstr + ') {\n'
process_recursion(self.code_list)
self.context.udf += ccode + '\n'
ccode = ''
if self.return_pattern == udf.ReturnPattern.elemental_return:
ccode += f'auto {self.cname}_gettype = []('
process_recursion(front[1:], True)
ccode += ') {\n\tuint32_t _builtin_len = 0;\n'
process_recursion(self.code_list, True)
self.context.udf += ccode + '\n'
class ReturnPattern(Enum):
bulk_return = auto()
elemental_return = auto()
@property
def return_pattern(self):
if '_builtin_ret' in self.builtin_used:
return udf.ReturnPattern.elemental_return
else:
return udf.ReturnPattern.bulk_return
def include(objs):
import inspect
for _, cls in inspect.getmembers(objs):
+242 -36
View File
@@ -1,26 +1,59 @@
from typing import Optional
from reconstruct.ast import ast_node
from reconstruct.storage import ColRef
from reconstruct.storage import ColRef, Context
from engine.types import *
# TODO: Decouple expr and upgrade architecture
# C_CODE : get ccode/sql code?
# projections : C/SQL/decltype string
# orderby/joins/where : SQL only
# assumption/groupby : C/sql
# is_udfexpr: C only
class expr(ast_node):
name='expr'
def __init__(self, parent, node, *, c_code = None):
from reconstruct.ast import projection
@property
def udf_decltypecall(self):
return self._udf_decltypecall if self._udf_decltypecall else self.sql
@udf_decltypecall.setter
def udf_decltypecall(self, val):
self._udf_decltypecall = val
@property
def need_decltypestr(self):
return self._udf_decltypecall is not None
def __init__(self, parent, node, *, c_code = None, supress_undefined = False):
from reconstruct.ast import projection, udf
self.type = None
self.raw_col = None
self.udf : Optional[udf] = None
self.inside_agg = False
self.is_special = False
self.is_ColExpr = False
self.is_recursive_call_inudf = False
self.codlets : list = []
self.codebuf : Optional[str] = None
self._udf_decltypecall = None
self.supress_undefined = supress_undefined
if(type(parent) is expr):
self.inside_agg = parent.inside_agg
if(type(parent) is not expr):
self.root = self
self.c_code = type(parent) is projection
else:
self.root = parent.root
self.is_udfexpr = parent.is_udfexpr
self.root : expr = parent.root
self.c_code = parent.c_code
self.builtin_vars = parent.builtin_vars
else:
self.is_udfexpr = type(parent) is udf
self.root : expr = self
self.c_code = self.is_udfexpr or type(parent) is projection
if self.is_udfexpr:
self.udf : udf = parent
self.builtin_vars = self.udf.builtin.keys()
else:
self.builtin_vars = []
if type(c_code) is bool:
self.c_code = c_code
@@ -38,8 +71,11 @@ class expr(ast_node):
self.udf_map = parent.context.udf_map
self.func_maps = {**builtin_func, **self.udf_map}
self.operators = {**builtin_operators, **self.udf_map}
def produce(self, node):
from engine.utils import enlist
from reconstruct.ast import udf
if type(node) is dict:
for key, val in node.items():
if key in self.operators:
@@ -49,35 +85,114 @@ class expr(ast_node):
exp_vals = [expr(self, v, c_code = self.c_code) for v in val]
str_vals = [e.sql for e in exp_vals]
type_vals = [e.type for e in exp_vals]
self.type = op.return_type(*type_vals)
try:
self.type = op.return_type(*type_vals)
except AttributeError as e:
if type(self.root) is not udf:
print(f'alert: {e}')
self.type = AnyT
self.sql = op(self.c_code, *str_vals)
special_func = [*self.context.udf_map.keys(), "maxs", "mins", "avgs", "sums"]
if key in special_func and not self.is_special:
self.is_special = True
if key in self.context.udf_map:
self.root.udf = self.context.udf_map[key]
if key == self.root.udf.name:
self.root.is_recursive_call_inudf = True
p = self.parent
while type(p) is expr and not p.is_special:
p.is_special = True
p = p.parent
need_decltypestr = any([e.need_decltypestr for e in exp_vals])
if need_decltypestr or (self.udf and type(op) is udf):
decltypestr_vals = [e.udf_decltypecall for e in exp_vals]
self.udf_decltypecall = op(self.c_code, *decltypestr_vals)
if self.udf and type(op) is udf:
self.udf_decltypecall = op.decltypecall(self.c_code, *decltypestr_vals)
elif self.is_udfexpr:
var_table = self.root.udf.var_table
vec = key.split('.')
_vars = [*var_table, *self.builtin_vars]
def get_vname (node):
if node in self.builtin_vars:
self.root.udf.builtin[node].enabled = True
self.builtin_var = node
return node
else:
return var_table[node]
if vec[0] not in _vars:
print(f'Use of undefined variable {vec[0]}')
else:
vname = get_vname(vec[0])
val = enlist(val)
if(len(val) > 2):
print('Warning: more than 2 indexes found for subvec operator.')
ex = [expr(self, v, c_code = self.c_code) for v in val]
idxs = ', '.join([e.sql for e in ex])
self.sql = f'{vname}.subvec({idxs})'
if any([e.need_decltypestr for e in ex]):
self.udf_decltypecall = f'{vname}.subvec({[", ".join([e.udf_decltypecall for e in ex])]})'
if key == 'get' and len(val) > 1:
ex_vname = expr(self, val[0], c_code=self.c_code)
self.sql = f'{ex_vname.sql}[{expr(self, val[1], c_code=self.c_code).sql}]'
if hasattr(ex_vname, 'builtin_var'):
if not hasattr(self, 'builtin_var'):
self.builtin_var = []
self.builtin_var = [*self.builtin_var, *ex_vname.builtin_var]
self.udf_decltypecall = ex_vname.sql
else:
print(f'Undefined expr: {key}{val}')
elif type(node) is str:
p = self.parent
while type(p) is expr and not p.isvector:
p.isvector = True
p = p.parent
if self.datasource is not None:
self.raw_col = self.datasource.parse_col_names(node)
self.raw_col = self.raw_col if type(self.raw_col) is ColRef else None
if self.raw_col is not None:
self.sql = self.raw_col.name
self.type = self.raw_col.type
if self.is_udfexpr:
curr_udf : udf = self.root.udf
var_table = curr_udf.var_table
split = node.split('.')
if split[0] in var_table:
varname = var_table[split[0]]
if curr_udf.agg and varname in curr_udf.vecs:
if len(split) > 1:
if split[1] == 'vec':
self.sql += varname
elif split[1] == 'len':
self.sql += f'{varname}.size'
else:
print(f'no member {split[1]} in object {varname}')
else:
self.sql += f'{varname}[{curr_udf.idx_var}]'
else:
self.sql += varname
elif self.supress_undefined or split[0] in self.builtin_vars:
self.sql += node
if split[0] in self.builtin_vars:
curr_udf.builtin[split[0]].enabled = True
self.builtin_var = split[0]
else:
print(f'Undefined varname: {split[0]}')
# get the column from the datasource in SQL context
else:
self.sql = node
self.type = StrT
if self.c_code and self.datasource is not None:
self.sql = f'{{y(\"{self.sql}\")}}'
p = self.parent
while type(p) is expr and not p.isvector:
p.isvector = True
p = p.parent
if self.datasource is not None:
self.raw_col = self.datasource.parse_col_names(node)
self.raw_col = self.raw_col if type(self.raw_col) is ColRef else None
if self.raw_col is not None:
self.is_ColExpr = True
self.sql = self.raw_col.name
self.type = self.raw_col.type
else:
self.sql = node
self.type = StrT
if self.c_code and self.datasource is not None:
self.sql = f'{{y(\"{self.sql}\")}}'
elif type(node) is bool:
self.type = IntT
if self.c_code:
@@ -91,18 +206,109 @@ class expr(ast_node):
elif type(node) is float:
self.type = DoubleT
def finalize(self, y):
if self.c_code:
x = self.is_special
self.sql = eval('f\'' + self.sql + '\'')
def finalize(self, override = False):
from reconstruct.ast import udf
if self.codebuf is None or override:
self.codebuf = ''
for c in self.codlets:
if type(c) is str:
self.codebuf += c
elif type(c) is udf:
self.codebuf += c()
elif type(c) is expr:
self.codebuf += c.finalize(override=override)
return self.codebuf
def __str__(self):
return self.sql
def __repr__(self):
return self.__str__()
def eval(self):
x = self.c_code
y = lambda x: x
return eval('f\'' + self.sql + '\'')
# builtins is readonly, so it's okay to set default value as an object
# eval is only called at root expr.
def eval(self, c_code = None, y = lambda t: t, materialize_builtin = False, _decltypestr = False, *, gettype = False):
assert(self.is_root)
def call(decltypestr = False) -> str:
nonlocal c_code, y, materialize_builtin
if self.udf is not None:
loc = locals()
builtin_vars = self.udf.builtin_used
for b in self.udf.builtin_var.all:
exec(f'loc["{b}"] = lambda: "{{{b}()}}"')
if builtin_vars:
if type(materialize_builtin) is dict:
for b in builtin_vars:
exec(f'loc["{b}"] = lambda: "{materialize_builtin[b]}"')
elif self.is_recursive_call_inudf:
for b in builtin_vars:
exec(f'loc["{b}"] = lambda : "{b}"')
x = self.c_code if c_code is None else c_code
if decltypestr:
return eval('f\'' + self.udf_decltypecall + '\'')
return eval('f\'' + self.sql + '\'')
if self.is_recursive_call_inudf or (self.need_decltypestr and self.is_udfexpr) or gettype:
return call
else:
return call(_decltypestr)
@property
def is_root(self):
return self.root == self
import engine.expr as cexpr
# For UDFs: first check if agg variable is used as vector
# if not, then check if its length is used
class fastscan(expr):
name = 'fastscan'
def init(self, _):
self.vec_vars = set()
self.requested_lens = set()
super().init(self, _)
def process(self, key : str):
segs = key.split('.')
var_table = self.root.udf.var_table
if segs[0] in var_table and len(segs) > 1:
if segs[1] == 'vec':
self.vec_vars.add(segs[0])
elif segs[1] == 'len':
self.requested_lens.add(segs[0])
def produce(self, node):
from engine.utils import enlist
if type(node) is dict:
for key, val in node.items():
if key in self.operators:
val = enlist(val)
elif self.is_udfexpr:
self.process(key)
[fastscan(self, v, c_code = self.c_code) for v in val]
elif type(node) is str:
self.process(node)
class getrefs(expr):
name = 'getrefs'
def init(self, _):
self.datasource.rec = set()
self.rec = None
def produce(self, node):
from engine.utils import enlist
if type(node) is dict:
for key, val in node.items():
if key in self.operators:
val = enlist(val)
[getrefs(self, v, c_code = self.c_code) for v in val]
elif type(node) is str:
self.datasource.parse_col_names(node)
def consume(self, _):
if self.root == self:
self.rec = self.datasource.rec
self.datasource.rec = None
+6 -1
View File
@@ -86,6 +86,7 @@ class Context:
self.sql = ''
self.finalized = False
self.udf = None
self.scans = []
def __init__(self):
self.tables_byname = dict()
@@ -94,6 +95,7 @@ class Context:
self.cols = []
self.datasource = None
self.udf_map = dict()
self.udf_agg_map = dict()
self.use_columnstore = False
self.print = print
self.has_dll = False
@@ -110,7 +112,10 @@ class Context:
tbl = TableInfo(table_name, cols, self)
self.tables.append(tbl)
return tbl
def remove_scan(self, scan, str_scan):
self.emitc(str_scan)
self.scans.remove(scan)
function_head = '''
extern "C" int __DLLEXPORT__ dllmain(Context* cxt) {
using namespace std;