def __init__(self, table_expr, proj_exprs):
from ibis.expr.analysis import ExprValidator
# Need to validate that the column expressions are compatible with the
# input table; this means they must either be scalar expressions or
# array expressions originating from the same root table expression
validator = ExprValidator([table_expr])
# Resolve schema and initialize
types = []
names = []
clean_exprs = []
for expr in proj_exprs:
if isinstance(expr, py_string):
expr = table_expr[expr]
validator.assert_valid(expr)
if isinstance(expr, ValueExpr):
name = expr.get_name()
names.append(name)
types.append(expr.type())
elif rules.is_table(expr):
schema = expr.schema()
names.extend(schema.names)
types.extend(schema.types)
else:
raise NotImplementedError
clean_exprs.append(expr)
# validate uniqueness
schema = ir.Schema(names, types)
HasSchema.__init__(self, schema)
Node.__init__(self, [table_expr] + [clean_exprs])
self.table = table_expr
self.selections = clean_exprs
def __init__(self, table_expr, proj_exprs):
from ibis.expr.analysis import ExprValidator
# Need to validate that the column expressions are compatible with the
# input table; this means they must either be scalar expressions or
# array expressions originating from the same root table expression
validator = ExprValidator([table_expr])
# Resolve schema and initialize
types = []
names = []
clean_exprs = []
for expr in proj_exprs:
if isinstance(expr, py_string):
expr = table_expr[expr]
validator.assert_valid(expr)
if isinstance(expr, ValueExpr):
name = expr.get_name()
names.append(name)
types.append(expr.type())
elif rules.is_table(expr):
schema = expr.schema()
names.extend(schema.names)
types.extend(schema.types)
else:
raise NotImplementedError
clean_exprs.append(expr)
# validate uniqueness
schema = ir.Schema(names, types)
HasSchema.__init__(self, schema)
Node.__init__(self, [table_expr] + [clean_exprs])
self.table = table_expr
self.selections = clean_exprs
