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AQuery/engine/ddl.py

119 lines
4.7 KiB

# code-gen for data decl languages
from engine.ast import ColRef, TableInfo, ast_node, Context, include
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from engine.scan import scan
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from engine.utils import base62uuid
class create_table(ast_node):
name = 'create_table'
def __init__(self, parent: "ast_node", node, context: Context = None, cexpr = None):
self.cexpr = cexpr
super().__init__(parent, node, context)
def produce(self, node):
if type(node) is not TableInfo:
ct = node[self.name]
tbl = self.context.add_table(ct['name'], ct['columns'])
else:
tbl = node
col_type_str = ','.join([c.type for c in tbl.columns])
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# create tables in c
self.emit(f"auto {tbl.table_name} = new TableInfo<{col_type_str}>(\"{tbl.table_name}\", {tbl.n_cols});")
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self.emit("cxt->tables.insert({\"" + tbl.table_name + f"\", {tbl.table_name}"+"});")
self.context.tables_in_context[tbl] = tbl.table_name
tbl.cxt_name = tbl.table_name
tbl.refer_all()
if self.cexpr is None:
for c in tbl.columns:
self.emit(f"{c.cxt_name}.init();")
else:
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if len(self.context.scans) == 0:
for i, c in enumerate(tbl.columns):
self.emit(f"{c.cxt_name}.init();")
self.emit(f"{c.cxt_name} = {self.cexpr[i]()};")
else:
scanner:scan = self.context.scans[-1]
for i, c in enumerate(tbl.columns):
scanner.add(f"{c.cxt_name}.init();", "init")
scanner.add(f"{c.cxt_name} = {self.cexpr[i](scanner.it_ver)};")
class insert(ast_node):
name = 'insert'
def produce(self, node):
ct = node[self.name]
table:TableInfo = self.context.tables_byname[ct]
values = node['query']['select']
if len(values) != table.n_cols:
raise ValueError("Column Mismatch")
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table.refer_all()
for i, s in enumerate(values):
if 'value' in s:
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cname = table.columns[i].cxt_name
self.emit(f"{cname}.emplace_back({s['value']});")
else:
# subquery, dispatch to select astnode
pass
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class c(ast_node):
name='c'
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def produce(self, node):
self.emit(node[self.name])
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class load(ast_node):
name="load"
def produce(self, node):
self.context.headers.add('"csv.h"')
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node = node[self.name]
table:TableInfo = self.context.tables_byname[node['table']]
table.refer_all()
csv_reader_name = 'csv_reader_' + base62uuid(6)
col_types = [c.type for c in table.columns]
col_tmp_names = ['tmp_'+base62uuid(8) for _ in range(len(table.columns))]
# col_type_str = ",".join(col_types)
col_names = ','.join([f'"{c.name}"' for c in table.columns])
self.emit(f'io::CSVReader<{len(col_types)}> {csv_reader_name}("{node["file"]["literal"]}");')
self.emit(f'{csv_reader_name}.read_header(io::ignore_extra_column, {col_names});')
for t, n in zip(col_types, col_tmp_names):
self.emit(f'{t} {n};')
self.emit(f'while({csv_reader_name}.read_row({",".join(col_tmp_names)})) {{ \n')
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for i, c in enumerate(table.columns):
self.emit(f'{c.cxt_name}.emplace_back({col_tmp_names[i]});')
self.emit('}')
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class outfile(ast_node):
name="_outfile"
def produce(self, node):
out_table:TableInfo = self.parent.out_table
filename = node['loc']['literal'] if 'loc' in node else node['literal']
self.emit_no_ln(f"\"{filename}\"1:`csv@(+(")
l_compound = False
l_cols = ''
l_keys = ''
ending = lambda x: x[:-1] if len(x) > 0 and x[-1]==';' else x
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for i, c in enumerate(out_table.columns):
c:ColRef
l_keys += '`' + c.name
if c.compound:
if l_compound:
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l_cols=f'flatBOTH\'+(({ending(l_cols)});{c.cname})'
else:
l_compound = True
if i >= 1:
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l_cols = f'flatRO\'+(({ending(l_cols)});{c.cname})'
else:
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l_cols = c.cname + ';'
elif l_compound:
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l_cols = f'flatLO\'+(({ending(l_cols)});{c.cname})'
else:
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l_cols += f"{c.cname};"
if not l_compound:
self.emit_no_ln(l_keys + '!(' + ending(l_cols) + ')')
else:
self.emit_no_ln(f'{l_keys}!+,/({ending(l_cols)})')
self.emit('))')
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import sys
include(sys.modules[__name__])