def _scan_database(self):
# GET ALL RELATIONS
raw_relations = self.db.query(
"""
SELECT
table_schema,
table_name,
referenced_table_schema,
referenced_table_name,
referenced_column_name,
constraint_name,
column_name,
ordinal_position
FROM
information_schema.key_column_usage
WHERE
referenced_column_name IS NOT NULL
""",
param=self.settings.database,
)
if not raw_relations:
Log.error("No relations in the database")
for r in self.settings.add_relations:
try:
lhs, rhs = map(strings.trim, r.split("->"))
lhs = lhs.split(".")
if len(lhs) == 2:
lhs = [self.settings.database.schema] + lhs
rhs = rhs.split(".")
if len(rhs) == 2:
rhs = [self.settings.database.schema] + rhs
to_add = Data(
ordinal_position=1, # CAN ONLY HANDLE 1-COLUMN RELATIONS
table_schema=lhs[0],
table_name=lhs[1],
column_name=lhs[2],
referenced_table_schema=rhs[0],
referenced_table_name=rhs[1],
referenced_column_name=rhs[2],
)
# CHECK IF EXISTING
if jx.filter(raw_relations, {"eq": to_add}):
Log.note("Relation {{relation}} already exists",
relation=r)
continue
to_add.constraint_name = Random.hex(20)
raw_relations.append(to_add)
except Exception as e:
Log.error("Could not parse {{line|quote}}", line=r, cause=e)
relations = jx.select(
raw_relations,
[
{
"name": "constraint.name",
"value": "constraint_name"
},
{
"name": "table.schema",
"value": "table_schema"
},
{
"name": "table.name",
"value": "table_name"
},
{
"name": "column.name",
"value": "column_name"
},
{
"name": "referenced.table.schema",
"value": "referenced_table_schema"
},
{
"name": "referenced.table.name",
"value": "referenced_table_name"
},
{
"name": "referenced.column.name",
"value": "referenced_column_name"
},
{
"name": "ordinal_position",
"value": "ordinal_position"
},
],
)
# GET ALL TABLES
raw_tables = self.db.query("""
SELECT
t.table_schema,
t.table_name,
c.constraint_name,
c.constraint_type,
k.column_name,
k.ordinal_position
FROM
information_schema.tables t
LEFT JOIN
information_schema.table_constraints c on c.table_name=t.table_name AND c.table_schema=t.table_schema and (constraint_type='UNIQUE' or constraint_type='PRIMARY KEY')
LEFT JOIN
information_schema.key_column_usage k on k.constraint_name=c.constraint_name AND k.table_name=t.table_name and k.table_schema=t.table_schema
ORDER BY
t.table_schema,
t.table_name,
c.constraint_name,
k.ordinal_position,
k.column_name
""")
# ORGANIZE, AND PICK ONE UNIQUE CONSTRAINT FOR LINKING
tables = UniqueIndex(keys=["name", "schema"])
for t, c in jx.groupby(raw_tables, ["table_name", "table_schema"]):
c = wrap(list(c))
best_index = Null
is_referenced = False
is_primary = False
for g, w in jx.groupby(c, "constraint_name"):
if not g.constraint_name:
continue
w = list(w)
ref = False
for r in relations:
if (r.table.name == t.table_name
and r.table.schema == t.table_schema
and r.constraint.name == g.constraint_name):
ref = True
is_prime = w[0].constraint_type == "PRIMARY"
reasons_this_one_is_better = [
best_index == None, # WE DO NOT HAVE A CANDIDATE YET
is_prime
and not is_primary, # PRIMARY KEYS ARE GOOD TO HAVE
is_primary == is_prime and ref and
not is_referenced, # REFERENCED UNIQUE TUPLES ARE GOOD TOO
is_primary == is_prime and ref == is_referenced and len(w)
< len(best_index), # THE SHORTER THE TUPLE, THE BETTER
]
if any(reasons_this_one_is_better):
is_primary = is_prime
is_referenced = ref
best_index = w
tables.add({
"name": t.table_name,
"schema": t.table_schema,
"id": [b.column_name for b in best_index],
})
fact_table = tables[self.settings.fact_table,
self.settings.database.schema]
ids_table = {
"alias": "t0",
"name": "__ids__",
"schema": fact_table.schema,
"id": fact_table.id,
}
relations.extend(
wrap({
"constraint": {
"name": "__link_ids_to_fact_table__"
},
"table": ids_table,
"column": {
"name": c
},
"referenced": {
"table": fact_table,
"column": {
"name": c
}
},
"ordinal_position": i,
}) for i, c in enumerate(fact_table.id))
tables.add(ids_table)
# GET ALL COLUMNS
raw_columns = self.db.query("""
SELECT
column_name,
table_schema,
table_name,
ordinal_position,
data_type
FROM
information_schema.columns
""")
reference_only_tables = [
r.split(".")[0] for r in self.settings.reference_only
if len(r.split(".")) == 2
]
reference_all_tables = [
r.split(".")[0] for r in self.settings.reference_only
if len(r.split(".")) == 1
]
foreign_column_table_schema_triples = {(r.column.name, r.table.name,
r.table.schema)
for r in relations}
referenced_column_table_schema_triples = {(
r.referenced.column.name,
r.referenced.table.name,
r.referenced.table.schema,
)
for r in relations}
related_column_table_schema_triples = (
foreign_column_table_schema_triples
| referenced_column_table_schema_triples)
columns = UniqueIndex(["column.name", "table.name", "table.schema"])
for c in raw_columns:
if c.table_name in reference_only_tables:
if c.table_name + "." + c.column_name in self.settings.reference_only:
include = True
reference = True
foreign = False
elif c.column_name in tables[(c.table_name,
c.table_schema)].id:
include = self.settings.show_foreign_keys
reference = False
foreign = False
else:
include = False
reference = False
foreign = False
elif c.table_name in reference_all_tables:
# TABLES USED FOR REFERENCE, NO NESTED DOCUMENTS EXPECTED
if c.column_name in tables[(c.table_name, c.table_schema)].id:
include = self.settings.show_foreign_keys
reference = True
foreign = False
elif (
c.column_name,
c.table_name,
c.table_schema,
) in foreign_column_table_schema_triples:
include = False
reference = False
foreign = True
else:
include = True
reference = False
foreign = False
elif c.column_name in tables[(c.table_name, c.table_schema)].id:
include = self.settings.show_foreign_keys
reference = False
foreign = False
elif (
c.column_name,
c.table_name,
c.table_schema,
) in foreign_column_table_schema_triples:
include = False
reference = False
foreign = True
elif (
c.column_name,
c.table_name,
c.table_schema,
) in referenced_column_table_schema_triples:
include = self.settings.show_foreign_keys
reference = False
foreign = False
else:
include = True
reference = False
foreign = False
rel = {
"column": {
"name": c.column_name,
"type": c.data_type
},
"table": {
"name": c.table_name,
"schema": c.table_schema
},
"ordinal_position": c.ordinal_position,
"is_id": c.column_name
in tables[(c.table_name, c.table_schema)].id,
"include": include, # TRUE IF THIS COLUMN IS OUTPUTTED
"reference":
reference, # TRUE IF THIS COLUMN REPRESENTS THE ROW
"foreign":
foreign, # TRUE IF THIS COLUMN POINTS TO ANOTHER ROW
}
columns.add(rel)
# ITERATE OVER ALL PATHS
todo = FlatList()
output_columns = FlatList()
nested_path_to_join = {}
all_nested_paths = [["."]]
def follow_paths(position, path, nested_path, done_relations,
no_nested_docs):
if position.name in self.settings.exclude:
return
if self.path_not_allowed(path):
return
if DEBUG:
Log.note("Trace {{path}}", path=path)
if position.name != "__ids__":
# USED TO CONFIRM WE CAN ACCESS THE TABLE (WILL THROW ERROR WHEN IF IT FAILS)
self.db.query(
ConcatSQL(
SQL_SELECT,
SQL_STAR,
SQL_FROM,
quote_column(position.schema, position.name),
SQL_LIMIT,
SQL_ONE,
))
if position.name in reference_all_tables:
no_nested_docs = True
if position.name in reference_only_tables:
return
curr_join_list = copy(nested_path_to_join[nested_path[0]])
###############################################################################
# INNER OBJECTS
###############################################################################
referenced_tables = list(
sort_using_key(
jx.groupby(
jx.filter(
relations,
{
"eq": {
"table.name": position.name,
"table.schema": position.schema,
}
},
),
"constraint.name",
),
key=lambda p: first(p[1]).column.name,
))
for g, constraint_columns in referenced_tables:
g = unwrap(g)
constraint_columns = deepcopy(constraint_columns)
if g["constraint.name"] in done_relations:
continue
if any(cc for cc in constraint_columns
if cc.referenced.table.name in self.settings.exclude):
continue
done_relations.add(g["constraint.name"])
many_to_one_joins = nested_path_to_join[nested_path[0]]
index = len(many_to_one_joins)
alias = "t" + text(index)
for c in constraint_columns:
c.referenced.table.alias = alias
c.table = position
many_to_one_joins.append({
"join_columns": constraint_columns,
"path": path,
"nested_path": nested_path,
})
# HANDLE THE COMMON *id SUFFIX
name = []
for cname, tname in zip(
constraint_columns.column.name,
constraint_columns.referenced.table.name,
):
if cname.startswith(tname):
name.append(tname)
elif cname.endswith("_id"):
name.append(cname[:-3])
else:
name.append(cname)
relation_string = many_to_one_string(constraint_columns[0])
step = "/".join(name)
if len(constraint_columns) == 1:
step = self.name_relations.get(relation_string, step)
referenced_column_path = concat_field(path, step)
if self.path_not_allowed(referenced_column_path):
continue
if referenced_column_path in reference_only_tables:
continue
col_pointer_name = relative_field(referenced_column_path,
nested_path[0])
for col in columns:
if (col.table.name
== constraint_columns[0].referenced.table.name
and col.table.schema
== constraint_columns[0].referenced.table.schema):
col_full_name = concat_field(
col_pointer_name, literal_field(col.column.name))
if (col.is_id and len(nested_path) == 1
and col.table.name == fact_table.name
and col.table.schema == fact_table.schema):
# ALWAYS SHOW THE ID OF THE FACT
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text(c_index),
"column":
col,
"sort":
True,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_full_name,
})
elif col.column.name == constraint_columns[
0].column.name:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text(c_index),
"column":
col,
"sort":
False,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_full_name
if self.settings.show_foreign_keys else None,
})
elif col.is_id:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text(c_index),
"column":
col,
"sort":
False,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_full_name
if self.settings.show_foreign_keys else None,
})
elif col.reference:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text(c_index),
"column":
col,
"sort":
False,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_pointer_name
if not self.settings.show_foreign_keys else
col_full_name, # REFERENCE FIELDS CAN REPLACE THE WHOLE OBJECT BEING REFERENCED
})
elif col.include:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text(c_index),
"column":
col,
"sort":
False,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_full_name,
})
if position.name in reference_only_tables:
continue
todo.append(
Data(
position=copy(constraint_columns[0].referenced.table),
path=referenced_column_path,
nested_path=nested_path,
done_relations=copy(done_relations),
no_nested_docs=no_nested_docs,
))
###############################################################################
# NESTED OBJECTS
###############################################################################
if not no_nested_docs:
nesting_tables = list(
sort_using_key(
jx.groupby(
jx.filter(
relations,
{
"eq": {
"referenced.table.name": position.name,
"referenced.table.schema":
position.schema,
}
},
),
"constraint.name",
),
key=lambda p: [(r.table.name, r.column.name)
for r in [first(p[1])]][0],
))
for g, constraint_columns in nesting_tables:
g = unwrap(g)
constraint_columns = deepcopy(constraint_columns)
if g["constraint.name"] in done_relations:
continue
done_relations.add(g["constraint.name"])
many_table = set(constraint_columns.table.name)
if not (many_table - self.settings.exclude):
continue
relation_string = one_to_many_string(constraint_columns[0])
step = "/".join(many_table)
if len(constraint_columns) == 1:
step = self.name_relations.get(relation_string, step)
referenced_column_path = concat_field(path, step)
if self.path_not_allowed(referenced_column_path):
continue
new_nested_path = [referenced_column_path] + nested_path
all_nested_paths.append(new_nested_path)
if referenced_column_path in nested_path_to_join:
Log.error(
"{{path}} already exists, try adding entry to name_relations",
path=referenced_column_path,
)
one_to_many_joins = nested_path_to_join[
referenced_column_path] = copy(curr_join_list)
index = len(one_to_many_joins)
alias = "t" + text(index)
for c in constraint_columns:
c.table.alias = alias
c.referenced.table = position
one_to_many_joins.append(
set_default(
{},
g,
{
"children": True,
"join_columns": constraint_columns,
"path": path,
"nested_path": nested_path,
},
))
for col in columns:
if (col.table.name == constraint_columns[0].table.name
and col.table.schema
== constraint_columns[0].table.schema):
col_full_name = join_field(
split_field(referenced_column_path)
[len(split_field(new_nested_path[0])):] +
[literal_field(col.column.name)])
if col.column.name == constraint_columns[
0].column.name:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text(c_index),
"column":
col,
"sort":
col.is_id,
"path":
referenced_column_path,
"nested_path":
new_nested_path,
"put":
col_full_name if
self.settings.show_foreign_keys else None,
})
elif col.is_id:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text(c_index),
"column":
col,
"sort":
col.is_id,
"path":
referenced_column_path,
"nested_path":
new_nested_path,
"put":
col_full_name if
self.settings.show_foreign_keys else None,
})
else:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text(c_index),
"column":
col,
"sort":
col.is_id,
"path":
referenced_column_path,
"nested_path":
new_nested_path,
"put":
col_full_name if col.include else None,
})
todo.append(
Data(
position=constraint_columns[0].table,
path=referenced_column_path,
nested_path=new_nested_path,
done_relations=copy(done_relations),
no_nested_docs=no_nested_docs,
))
path = "."
nested_path = [path]
nested_path_to_join["."] = [{
"path":
path,
"join_columns": [{
"referenced": {
"table": ids_table
}
}],
"nested_path":
nested_path,
}]
todo.append(
Data(
position=ids_table,
path=path,
nested_path=nested_path,
done_relations=set(),
no_nested_docs=False,
))
while todo:
item = todo.pop(0)
follow_paths(**item)
self.all_nested_paths = all_nested_paths
self.nested_path_to_join = nested_path_to_join
self.columns = output_columns
def decode(json):
"""
THIS IS CURRENTLY 50% SLOWER THAN PyPy DEFAULT IMPLEMENTATION
THE INTENT IS TO NEVER ACTUALLY PARSE ARRAYS OF PRIMITIVE VALUES, RATHER FIND
THE START AND END OF THOSE ARRAYS AND SIMPLY STRING COPY THEM TO THE
INEVITABLE JSON OUTPUT
"""
var = ""
curr = FlatList()
mode = ARRAY
stack = FlatList()
# FIRST PASS SIMPLY GETS STRUCTURE
i = 0
while i < len(json):
c = json[i]
i += 1
if mode == ARRAY:
if c in [" ", "\t", "\n", "\r", ","]:
pass
elif c == "]":
curr = stack.pop()
if isinstance(curr, Mapping):
mode = OBJECT
else:
mode = ARRAY
elif c == "[":
i, arr = jump_array(i, json)
if arr is None:
arr = []
stack.append(curr)
curr.append(arr)
curr = arr
mode = ARRAY
else:
curr.append(arr)
elif c == "{":
obj = {}
stack.append(curr)
curr.append(obj)
curr = obj
mode = OBJECT
elif c == "\"":
i, val = fast_parse_string(i, json)
curr.children.append(val)
else:
i, val = parse_const(i, json)
elif mode == OBJECT:
if c in [" ", "\t", "\n", "\r", ","]:
pass
elif c == ":":
mode = VALUE
elif c == "}":
curr = stack.pop()
if isinstance(curr, Mapping):
mode = OBJECT
else:
mode = ARRAY
elif c == "\"":
i, var = fast_parse_string(i, json)
elif mode == VALUE:
if c in [" ", "\t", "\n", "\r"]:
pass
elif c == "}":
curr = stack.pop()
if isinstance(curr, Mapping):
mode = OBJECT
else:
mode = ARRAY
elif c == "[":
i, arr = jump_array(i, json)
if arr is None:
arr = []
stack.append(curr)
curr[var] = arr
curr = arr
mode = ARRAY
else:
curr[var] = arr
mode = OBJECT
elif c == "{":
obj = {}
stack.append(curr)
curr[var] = obj
curr = obj
mode = OBJECT
elif c == "\"":
i, val = fast_parse_string(i, json)
curr[var] = val
mode = OBJECT
else:
i, val = parse_const(i, json)
curr[var] = val
mode = OBJECT
return curr[0]
def _scan_database(self):
# GET ALL RELATIONS
raw_relations = self.db.query("""
SELECT
table_schema,
table_name,
referenced_table_schema,
referenced_table_name,
referenced_column_name,
constraint_name,
column_name,
ordinal_position
FROM
information_schema.key_column_usage
WHERE
referenced_column_name IS NOT NULL
""",
param=self.settings.database)
if not raw_relations:
Log.error("No relations in the database")
for r in self.settings.add_relations:
try:
a, b = map(strings.trim, r.split("->"))
a = a.split(".")
b = b.split(".")
raw_relations.append(
Data(table_schema=a[0],
table_name=a[1],
referenced_table_schema=b[0],
referenced_table_name=b[1],
referenced_column_name=b[2],
constraint_name=Random.hex(20),
column_name=a[2],
ordinal_position=1))
except Exception as e:
Log.error("Could not parse {{line|quote}}", line=r, cause=e)
relations = jx.select(raw_relations,
[{
"name": "constraint.name",
"value": "constraint_name"
}, {
"name": "table.schema",
"value": "table_schema"
}, {
"name": "table.name",
"value": "table_name"
}, {
"name": "column.name",
"value": "column_name"
}, {
"name": "referenced.table.schema",
"value": "referenced_table_schema"
}, {
"name": "referenced.table.name",
"value": "referenced_table_name"
}, {
"name": "referenced.column.name",
"value": "referenced_column_name"
}, {
"name": "ordinal_position",
"value": "ordinal_position"
}])
# GET ALL TABLES
raw_tables = self.db.query("""
SELECT
t.table_schema,
t.table_name,
c.constraint_name,
c.constraint_type,
k.column_name,
k.ordinal_position
FROM
information_schema.tables t
LEFT JOIN
information_schema.table_constraints c on c.table_name=t.table_name AND c.table_schema=t.table_schema and (constraint_type='UNIQUE' or constraint_type='PRIMARY KEY')
LEFT JOIN
information_schema.key_column_usage k on k.constraint_name=c.constraint_name AND k.table_name=t.table_name and k.table_schema=t.table_schema
ORDER BY
t.table_schema,
t.table_name,
c.constraint_name,
k.ordinal_position,
k.column_name
""",
param=self.settings.database)
# ORGANIZE, AND PICK ONE UNIQUE CONSTRAINT FOR LINKING
tables = UniqueIndex(keys=["name", "schema"])
for t, c in jx.groupby(raw_tables, ["table_name", "table_schema"]):
c = wrap(list(c))
best_index = Null
is_referenced = False
is_primary = False
for g, w in jx.groupby(c, "constraint_name"):
if not g.constraint_name:
continue
w = list(w)
ref = False
for r in relations:
if r.table.name == t.table_name and r.table.schema == t.table_schema and r.constraint.name == g.constraint_name:
ref = True
is_prime = w[0].constraint_type == "PRIMARY"
reasons_this_one_is_better = [
best_index == None, # WE DO NOT HAVE A CANDIDATE YET
is_prime
and not is_primary, # PRIMARY KEYS ARE GOOD TO HAVE
is_primary == is_prime and ref and
not is_referenced, # REFERENCED UNIQUE TUPLES ARE GOOD TOO
is_primary == is_prime and ref == is_referenced and len(w)
< len(best_index) # THE SHORTER THE TUPLE, THE BETTER
]
if any(reasons_this_one_is_better):
is_primary = is_prime
is_referenced = ref
best_index = w
tables.add({
"name": t.table_name,
"schema": t.table_schema,
"id": [b.column_name for b in best_index]
})
fact_table = tables[self.settings.fact_table,
self.settings.database.schema]
ids_table = {
"alias": "t0",
"name": "__ids__",
"schema": fact_table.schema,
"id": fact_table.id
}
relations.extend(
wrap({
"constraint": {
"name": "__link_ids_to_fact_table__"
},
"table": ids_table,
"column": {
"name": c
},
"referenced": {
"table": fact_table,
"column": {
"name": c
}
},
"ordinal_position": i
}) for i, c in enumerate(fact_table.id))
tables.add(ids_table)
# GET ALL COLUMNS
raw_columns = self.db.query("""
SELECT
column_name,
table_schema,
table_name,
ordinal_position,
data_type
FROM
information_schema.columns
""",
param=self.settings.database)
reference_only_tables = [
r.split(".")[0] for r in self.settings.reference_only
if len(r.split(".")) == 2
]
reference_all_tables = [
r.split(".")[0] for r in self.settings.reference_only
if len(r.split(".")) == 1
]
foreign_column_table_schema_triples = {(r.column.name, r.table.name,
r.table.schema)
for r in relations}
referenced_column_table_schema_triples = {
(r.referenced.column.name, r.referenced.table.name,
r.referenced.table.schema)
for r in relations
}
related_column_table_schema_triples = foreign_column_table_schema_triples | referenced_column_table_schema_triples
columns = UniqueIndex(["column.name", "table.name", "table.schema"])
for c in raw_columns:
if c.table_name in reference_only_tables:
if c.table_name + "." + c.column_name in self.settings.reference_only:
include = True
reference = True
foreign = False
elif c.column_name in tables[(c.table_name,
c.table_schema)].id:
include = self.settings.show_foreign_keys
reference = False
foreign = False
else:
include = False
reference = False
foreign = False
elif c.table_name in reference_all_tables:
# TABLES USED FOR REFERENCE, NO NESTED DOCUMENTS EXPECTED
if c.column_name in tables[(c.table_name, c.table_schema)].id:
include = self.settings.show_foreign_keys
reference = True
foreign = False
elif (c.column_name, c.table_name,
c.table_schema) in foreign_column_table_schema_triples:
include = False
reference = False
foreign = True
else:
include = True
reference = False
foreign = False
elif c.column_name in tables[(c.table_name, c.table_schema)].id:
include = self.settings.show_foreign_keys
reference = False
foreign = False
elif (c.column_name, c.table_name,
c.table_schema) in foreign_column_table_schema_triples:
include = False
reference = False
foreign = True
elif (c.column_name, c.table_name,
c.table_schema) in referenced_column_table_schema_triples:
include = self.settings.show_foreign_keys
reference = False
foreign = False
else:
include = True
reference = False
foreign = False
rel = {
"column": {
"name": c.column_name,
"type": c.data_type
},
"table": {
"name": c.table_name,
"schema": c.table_schema
},
"ordinal_position": c.ordinal_position,
"is_id": c.column_name
in tables[(c.table_name, c.table_schema)].id,
"include": include, # TRUE IF THIS COLUMN IS OUTPUTTED
"reference":
reference, # TRUE IF THIS COLUMN REPRESENTS THE ROW
"foreign": foreign # TRUE IF THIS COLUMN POINTS TO ANOTHER ROW
}
columns.add(rel)
# ITERATE OVER ALL PATHS
todo = FlatList()
output_columns = FlatList()
nested_path_to_join = {}
all_nested_paths = [["."]]
def follow_paths(position, path, nested_path, done_relations,
no_nested_docs):
if position.name in self.settings.exclude:
return
if DEBUG:
Log.note("Trace {{path}}", path=path)
if position.name != "__ids__":
# USED TO CONFIRM WE CAN ACCESS THE TABLE (WILL THROW ERROR WHEN IF IT FAILS)
self.db.query("SELECT * FROM " +
quote_column(position.name, position.schema) +
" LIMIT 1")
if position.name in reference_all_tables:
no_nested_docs = True
if position.name in reference_only_tables:
return
curr_join_list = copy(nested_path_to_join[nested_path[0]])
# INNER OBJECTS
referenced_tables = list(
jx.groupby(
jx.filter(
relations, {
"eq": {
"table.name": position.name,
"table.schema": position.schema
}
}), "constraint.name"))
for g, constraint_columns in referenced_tables:
g = unwrap(g)
constraint_columns = deepcopy(constraint_columns)
if g["constraint.name"] in done_relations:
continue
if any(cc for cc in constraint_columns
if cc.referenced.table.name in self.settings.exclude):
continue
done_relations.add(g["constraint.name"])
many_to_one_joins = nested_path_to_join[nested_path[0]]
index = len(many_to_one_joins)
alias = "t" + text_type(index)
for c in constraint_columns:
c.referenced.table.alias = alias
c.table = position
many_to_one_joins.append({
"join_columns": constraint_columns,
"path": path,
"nested_path": nested_path
})
# referenced_table_path = join_field(split_field(path) + ["/".join(constraint_columns.referenced.table.name)])
# HANDLE THE COMMON *id SUFFIX
name = []
for a, b in zip(constraint_columns.column.name,
constraint_columns.referenced.table.name):
if a.startswith(b):
name.append(b)
elif a.endswith("_id"):
name.append(a[:-3])
else:
name.append(a)
referenced_column_path = join_field(
split_field(path) + ["/".join(name)])
col_pointer_name = relative_field(referenced_column_path,
nested_path[0])
# insert into nested1 VALUES (100, 10, 'aaa', -1);
# id.about.time.nested1 .ref=10
# id.about.time.nested1 .ref.name
for col in columns:
if col.table.name == constraint_columns[
0].referenced.table.name and col.table.schema == constraint_columns[
0].referenced.table.schema:
col_full_name = concat_field(
col_pointer_name, literal_field(col.column.name))
if col.is_id and col.table.name == fact_table.name and col.table.schema == fact_table.schema:
# ALWAYS SHOW THE ID OF THE FACT
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text_type(c_index),
"column":
col,
"sort":
True,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_full_name
})
elif col.column.name == constraint_columns[
0].column.name:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text_type(c_index),
"column":
col,
"sort":
False,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_full_name
if self.settings.show_foreign_keys else None
})
elif col.is_id:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text_type(c_index),
"column":
col,
"sort":
False,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_full_name
if self.settings.show_foreign_keys else None
})
elif col.reference:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text_type(c_index),
"column":
col,
"sort":
False,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_pointer_name
if not self.settings.show_foreign_keys else
col_full_name # REFERENCE FIELDS CAN REPLACE THE WHOLE OBJECT BEING REFERENCED
})
elif col.include:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text_type(c_index),
"column":
col,
"sort":
False,
"path":
referenced_column_path,
"nested_path":
nested_path,
"put":
col_full_name
})
if position.name in reference_only_tables:
continue
todo.append(
Data(position=copy(constraint_columns[0].referenced.table),
path=referenced_column_path,
nested_path=nested_path,
done_relations=copy(done_relations),
no_nested_docs=no_nested_docs))
# NESTED OBJECTS
if not no_nested_docs:
for g, constraint_columns in jx.groupby(
jx.filter(
relations, {
"eq": {
"referenced.table.name": position.name,
"referenced.table.schema": position.schema
}
}), "constraint.name"):
g = unwrap(g)
constraint_columns = deepcopy(constraint_columns)
if g["constraint.name"] in done_relations:
continue
done_relations.add(g["constraint.name"])
many_table = set(constraint_columns.table.name)
if not (many_table - self.settings.exclude):
continue
referenced_column_path = join_field(
split_field(path) + ["/".join(many_table)])
new_nested_path = [referenced_column_path] + nested_path
all_nested_paths.append(new_nested_path)
# if new_path not in self.settings.include:
# Log.note("Exclude nested path {{path}}", path=new_path)
# continue
one_to_many_joins = nested_path_to_join[
referenced_column_path] = copy(curr_join_list)
index = len(one_to_many_joins)
alias = "t" + text_type(index)
for c in constraint_columns:
c.table.alias = alias
c.referenced.table = position
one_to_many_joins.append(
set_default({}, g, {
"children": True,
"join_columns": constraint_columns,
"path": path,
"nested_path": nested_path
}))
# insert into nested1 VALUES (100, 10, 'aaa', -1); # id.about.time.nested1 .ref=10# id.about.time.nested1 .ref.name
for col in columns:
if col.table.name == constraint_columns[
0].table.name and col.table.schema == constraint_columns[
0].table.schema:
col_full_name = join_field(
split_field(referenced_column_path)
[len(split_field(new_nested_path[0])):] +
[literal_field(col.column.name)])
if col.column.name == constraint_columns[
0].column.name:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text_type(c_index),
"column":
col,
"sort":
col.is_id,
"path":
referenced_column_path,
"nested_path":
new_nested_path,
"put":
col_full_name if
self.settings.show_foreign_keys else None
})
elif col.is_id:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text_type(c_index),
"column":
col,
"sort":
col.is_id,
"path":
referenced_column_path,
"nested_path":
new_nested_path,
"put":
col_full_name if
self.settings.show_foreign_keys else None
})
else:
c_index = len(output_columns)
output_columns.append({
"table_alias":
alias,
"column_alias":
"c" + text_type(c_index),
"column":
col,
"sort":
col.is_id,
"path":
referenced_column_path,
"nested_path":
new_nested_path,
"put":
col_full_name if col.include else None
})
todo.append(
Data(position=constraint_columns[0].table,
path=referenced_column_path,
nested_path=new_nested_path,
done_relations=copy(done_relations),
no_nested_docs=no_nested_docs))
path = "."
nested_path = [path]
nested_path_to_join["."] = [{
"path":
path,
"join_columns": [{
"referenced": {
"table": ids_table
}
}],
"nested_path":
nested_path
}]
todo.append(
Data(position=ids_table,
path=path,
nested_path=nested_path,
done_relations=set(),
no_nested_docs=False))
while todo:
item = todo.pop(0)
follow_paths(**item)
self.all_nested_paths = all_nested_paths
self.nested_path_to_join = nested_path_to_join
self.columns = output_columns
def decode(json):
"""
THIS IS CURRENTLY 50% SLOWER THAN PyPy DEFAULT IMPLEMENTATION
THE INTENT IS TO NEVER ACTUALLY PARSE ARRAYS OF PRIMITIVE VALUES, RATHER FIND
THE START AND END OF THOSE ARRAYS AND SIMPLY STRING COPY THEM TO THE
INEVITABLE JSON OUTPUT
"""
var = ""
curr = FlatList()
mode = ARRAY
stack = FlatList()
# FIRST PASS SIMPLY GETS STRUCTURE
i = 0
while i < len(json):
c = json[i]
i += 1
if mode == ARRAY:
if c in [" ", "\t", "\n", "\r", ","]:
pass
elif c == "]":
curr = stack.pop()
if isinstance(curr, Mapping):
mode = OBJECT
else:
mode = ARRAY
elif c == "[":
i, arr = jump_array(i, json)
if arr is None:
arr = []
stack.append(curr)
curr.append(arr)
curr = arr
mode = ARRAY
else:
curr.append(arr)
elif c == "{":
obj = {}
stack.append(curr)
curr.append(obj)
curr = obj
mode = OBJECT
elif c == "\"":
i, val = fast_parse_string(i, json)
curr.children.append(val)
else:
i, val = parse_const(i, json)
elif mode == OBJECT:
if c in [" ", "\t", "\n", "\r", ","]:
pass
elif c == ":":
mode = VALUE
elif c == "}":
curr = stack.pop()
if isinstance(curr, Mapping):
mode = OBJECT
else:
mode = ARRAY
elif c == "\"":
i, var = fast_parse_string(i, json)
elif mode == VALUE:
if c in [" ", "\t", "\n", "\r"]:
pass
elif c == "}":
curr = stack.pop()
if isinstance(curr, Mapping):
mode = OBJECT
else:
mode = ARRAY
elif c == "[":
i, arr = jump_array(i, json)
if arr is None:
arr = []
stack.append(curr)
curr[var] = arr
curr = arr
mode = ARRAY
else:
curr[var] = arr
mode = OBJECT
elif c == "{":
obj = {}
stack.append(curr)
curr[var] = obj
curr = obj
mode = OBJECT
elif c == "\"":
i, val = fast_parse_string(i, json)
curr[var] = val
mode = OBJECT
else:
i, val = parse_const(i, json)
curr[var] = val
mode = OBJECT
return curr[0]
