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bigquery_view_parser.py
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bigquery_view_parser.py
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# bigquery_view_parser.py
#
# A parser to extract table names from BigQuery view definitions.
# This is based on the `select_parser.py` sample in pyparsing:
# https://github.com/pyparsing/pyparsing/blob/master/examples/select_parser.py
#
# Michael Smedberg
#
import sys
import textwrap
from pyparsing import ParserElement, Suppress, Forward, CaselessKeyword
from pyparsing import MatchFirst, alphas, alphanums, Combine, Word
from pyparsing import QuotedString, CharsNotIn, Optional, Group
from pyparsing import oneOf, delimitedList, restOfLine, cStyleComment
from pyparsing import infixNotation, opAssoc, Regex, nums
sys.setrecursionlimit(3000)
ParserElement.enablePackrat()
class BigQueryViewParser:
"""Parser to extract table info from BigQuery view definitions
Based on the BNF and examples posted at
https://cloud.google.com/bigquery/docs/reference/legacy-sql
"""
_parser = None
_table_identifiers = set()
_with_aliases = set()
def get_table_names(self, sql_stmt):
table_identifiers, with_aliases = self._parse(sql_stmt)
# Table names and alias names might differ by case, but that's not
# relevant- aliases are not case sensitive
lower_aliases = BigQueryViewParser.lowercase_set_of_tuples(with_aliases)
tables = {
x
for x in table_identifiers
if not BigQueryViewParser.lowercase_of_tuple(x) in lower_aliases
}
# Table names ARE case sensitive as described at
# https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#case_sensitivity
return tables
def _parse(self, sql_stmt):
BigQueryViewParser._table_identifiers.clear()
BigQueryViewParser._with_aliases.clear()
BigQueryViewParser._get_parser().parseString(sql_stmt, parseAll=True)
return BigQueryViewParser._table_identifiers, BigQueryViewParser._with_aliases
@classmethod
def lowercase_of_tuple(cls, tuple_to_lowercase):
return tuple(x.lower() if x else None for x in tuple_to_lowercase)
@classmethod
def lowercase_set_of_tuples(cls, set_of_tuples):
return {BigQueryViewParser.lowercase_of_tuple(x) for x in set_of_tuples}
@classmethod
def _get_parser(cls):
if cls._parser is not None:
return cls._parser
ParserElement.enablePackrat()
LPAR, RPAR, COMMA, LBRACKET, RBRACKET, LT, GT = map(Suppress, "(),[]<>")
QUOT, APOS, ACC, DOT, SEMI = map(Suppress, "\"'`.;")
ungrouped_select_stmt = Forward().setName("select statement")
QUOTED_QUOT = QuotedString('"')
QUOTED_APOS = QuotedString("'")
QUOTED_ACC = QuotedString("`")
QUOTED_BRACKETS = QuotedString("[", endQuoteChar="]")
# fmt: off
# keywords
(
UNION, ALL, AND, INTERSECT, EXCEPT, COLLATE, ASC, DESC, ON, USING, NATURAL,
INNER, CROSS, LEFT, RIGHT, OUTER, FULL, JOIN, AS, INDEXED, NOT, SELECT,
DISTINCT, FROM, WHERE, GROUP, BY, HAVING, ORDER, BY, LIMIT, OFFSET, OR,
CAST, ISNULL, NOTNULL, NULL, IS, BETWEEN, ELSE, END, CASE, WHEN, THEN,
EXISTS, COLLATE, IN, LIKE, GLOB, REGEXP, MATCH, ESCAPE, CURRENT_TIME,
CURRENT_DATE, CURRENT_TIMESTAMP, WITH, EXTRACT, PARTITION, ROWS, RANGE,
UNBOUNDED, PRECEDING, CURRENT, ROW, FOLLOWING, OVER, INTERVAL, DATE_ADD,
DATE_SUB, ADDDATE, SUBDATE, REGEXP_EXTRACT, SPLIT, ORDINAL, FIRST_VALUE,
LAST_VALUE, NTH_VALUE, LEAD, LAG, PERCENTILE_CONT, PRECENTILE_DISC, RANK,
DENSE_RANK, PERCENT_RANK, CUME_DIST, NTILE, ROW_NUMBER, DATE, TIME, DATETIME,
TIMESTAMP, UNNEST, INT64, NUMERIC, FLOAT64, BOOL, BYTES, GEOGRAPHY, ARRAY,
STRUCT, SAFE_CAST, ANY_VALUE, ARRAY_AGG, ARRAY_CONCAT_AGG, AVG, BIT_AND,
BIT_OR, BIT_XOR, COUNT, COUNTIF, LOGICAL_AND, LOGICAL_OR, MAX, MIN,
STRING_AGG, SUM, CORR, COVAR_POP, COVAR_SAMP, STDDEV_POP, STDDEV_SAMP,
STDDEV, VAR_POP, VAR_SAMP, VARIANCE, TIMESTAMP_ADD, TIMESTAMP_SUB,
GENERATE_ARRAY, GENERATE_DATE_ARRAY, GENERATE_TIMESTAMP_ARRAY, FOR,
SYSTEM_TIME, OF, WINDOW, RESPECT, IGNORE, NULLS, IF, CONTAINS,
) = map(
CaselessKeyword,
"""
UNION, ALL, AND, INTERSECT, EXCEPT, COLLATE, ASC, DESC, ON, USING, NATURAL,
INNER, CROSS, LEFT, RIGHT, OUTER, FULL, JOIN, AS, INDEXED, NOT, SELECT,
DISTINCT, FROM, WHERE, GROUP, BY, HAVING, ORDER, BY, LIMIT, OFFSET, OR,
CAST, ISNULL, NOTNULL, NULL, IS, BETWEEN, ELSE, END, CASE, WHEN, THEN,
EXISTS, COLLATE, IN, LIKE, GLOB, REGEXP, MATCH, ESCAPE, CURRENT_TIME,
CURRENT_DATE, CURRENT_TIMESTAMP, WITH, EXTRACT, PARTITION, ROWS, RANGE,
UNBOUNDED, PRECEDING, CURRENT, ROW, FOLLOWING, OVER, INTERVAL, DATE_ADD,
DATE_SUB, ADDDATE, SUBDATE, REGEXP_EXTRACT, SPLIT, ORDINAL, FIRST_VALUE,
LAST_VALUE, NTH_VALUE, LEAD, LAG, PERCENTILE_CONT, PRECENTILE_DISC, RANK,
DENSE_RANK, PERCENT_RANK, CUME_DIST, NTILE, ROW_NUMBER, DATE, TIME, DATETIME,
TIMESTAMP, UNNEST, INT64, NUMERIC, FLOAT64, BOOL, BYTES, GEOGRAPHY, ARRAY,
STRUCT, SAFE_CAST, ANY_VALUE, ARRAY_AGG, ARRAY_CONCAT_AGG, AVG, BIT_AND,
BIT_OR, BIT_XOR, COUNT, COUNTIF, LOGICAL_AND, LOGICAL_OR, MAX, MIN,
STRING_AGG, SUM, CORR, COVAR_POP, COVAR_SAMP, STDDEV_POP, STDDEV_SAMP,
STDDEV, VAR_POP, VAR_SAMP, VARIANCE, TIMESTAMP_ADD, TIMESTAMP_SUB,
GENERATE_ARRAY, GENERATE_DATE_ARRAY, GENERATE_TIMESTAMP_ARRAY, FOR,
SYSTEM_TIME, OF, WINDOW, RESPECT, IGNORE, NULLS, IF, CONTAINS,
""".replace(",", "").split(),
)
keyword_nonfunctions = MatchFirst(
(UNION, ALL, INTERSECT, EXCEPT, COLLATE, ASC, DESC, ON, USING,
NATURAL, INNER, CROSS, LEFT, RIGHT, OUTER, FULL, JOIN, AS, INDEXED,
NOT, SELECT, DISTINCT, FROM, WHERE, GROUP, BY, HAVING, ORDER, BY,
LIMIT, OFFSET, CAST, ISNULL, NOTNULL, NULL, IS, BETWEEN, ELSE, END,
CASE, WHEN, THEN, EXISTS, COLLATE, IN, LIKE, GLOB, REGEXP, MATCH,
STRUCT, WINDOW, SYSTEM_TIME, IF, FOR,
)
)
keyword = keyword_nonfunctions | MatchFirst(
(ESCAPE, CURRENT_TIME, CURRENT_DATE, CURRENT_TIMESTAMP, DATE_ADD,
DATE_SUB, ADDDATE, SUBDATE, INTERVAL, STRING_AGG, REGEXP_EXTRACT,
SPLIT, ORDINAL, UNNEST, SAFE_CAST, PARTITION, TIMESTAMP_ADD,
TIMESTAMP_SUB, ARRAY, GENERATE_ARRAY, GENERATE_DATE_ARRAY,
GENERATE_TIMESTAMP_ARRAY, SYSTEM_TIME, CONTAINS,
)
)
# fmt: on
identifier_word = Word(alphas + "_@#", alphanums + "@$#_")
identifier = ~keyword + identifier_word.copy()
collation_name = identifier.copy()
# NOTE: Column names can be keywords. Doc says they cannot, but in practice it seems to work.
column_name = identifier_word.copy()
qualified_column_name = Combine(
column_name + ("." + column_name)[..., 6], adjacent=False
)
# NOTE: As with column names, column aliases can be keywords, e.g. functions like `current_time`. Other
# keywords, e.g. `from` make parsing pretty difficult (e.g. "SELECT a from from b" is confusing.)
column_alias = ~keyword_nonfunctions + column_name.copy()
table_name = identifier.copy()
table_alias = identifier.copy()
index_name = identifier.copy()
function_name = identifier.copy()
parameter_name = identifier.copy()
# NOTE: The expression in a CASE statement can be an integer. E.g. this is valid SQL:
# select CASE 1 WHEN 1 THEN -1 ELSE -2 END from test_table
unquoted_case_identifier = ~keyword + Word(alphanums + "$_")
quoted_case_identifier = QUOTED_QUOT | QUOTED_ACC
case_identifier = quoted_case_identifier | unquoted_case_identifier
case_expr = (
Optional(case_identifier + DOT)
+ Optional(case_identifier + DOT)
+ case_identifier
)
# expression
expr = Forward().setName("expression")
integer = Regex(r"[+-]?\d+")
numeric_literal = Regex(r"[+-]?\d*\.?\d+([eE][+-]?\d+)?")
string_literal = QUOTED_APOS | QUOTED_QUOT | QUOTED_ACC
regex_literal = "r" + string_literal
blob_literal = Regex(r"[xX]'[0-9A-Fa-f]+'")
date_or_time_literal = (DATE | TIME | DATETIME | TIMESTAMP) + string_literal
literal_value = (
numeric_literal
| string_literal
| regex_literal
| blob_literal
| date_or_time_literal
| NULL
| CURRENT_TIME + Optional(LPAR + Optional(string_literal) + RPAR)
| CURRENT_DATE + Optional(LPAR + Optional(string_literal) + RPAR)
| CURRENT_TIMESTAMP + Optional(LPAR + Optional(string_literal) + RPAR)
)
bind_parameter = Word("?", nums) | Combine(oneOf(": @ $") + parameter_name)
type_name = oneOf(
"""TEXT REAL INTEGER BLOB NULL TIMESTAMP STRING DATE
INT64 NUMERIC FLOAT64 BOOL BYTES DATETIME GEOGRAPHY TIME ARRAY
STRUCT""",
caseless=True,
)
date_part = oneOf(
"""DAY DAY_HOUR DAY_MICROSECOND DAY_MINUTE DAY_SECOND
HOUR HOUR_MICROSECOND HOUR_MINUTE HOUR_SECOND MICROSECOND MINUTE
MINUTE_MICROSECOND MINUTE_SECOND MONTH QUARTER SECOND
SECOND_MICROSECOND WEEK YEAR YEAR_MONTH""",
caseless=True,
as_keyword=True,
)
datetime_operators = (
DATE_ADD | DATE_SUB | ADDDATE | SUBDATE | TIMESTAMP_ADD | TIMESTAMP_SUB
)
grouping_term = expr.copy()
ordering_term = Group(
expr("order_key")
+ Optional(COLLATE + collation_name("collate"))
+ Optional(ASC | DESC)("direction")
)("ordering_term")
function_arg = expr.copy()("function_arg")
function_args = Optional(
"*"
| Optional(DISTINCT)
+ delimitedList(function_arg)
+ Optional((RESPECT | IGNORE) + NULLS)
)("function_args")
function_call = (
(function_name | keyword)("function_name")
+ LPAR
+ Group(function_args)("function_args_group")
+ RPAR
)
navigation_function_name = (
FIRST_VALUE
| LAST_VALUE
| NTH_VALUE
| LEAD
| LAG
| PERCENTILE_CONT
| PRECENTILE_DISC
)
aggregate_function_name = (
ANY_VALUE
| ARRAY_AGG
| ARRAY_CONCAT_AGG
| AVG
| BIT_AND
| BIT_OR
| BIT_XOR
| COUNT
| COUNTIF
| LOGICAL_AND
| LOGICAL_OR
| MAX
| MIN
| STRING_AGG
| SUM
)
statistical_aggregate_function_name = (
CORR
| COVAR_POP
| COVAR_SAMP
| STDDEV_POP
| STDDEV_SAMP
| STDDEV
| VAR_POP
| VAR_SAMP
| VARIANCE
)
numbering_function_name = (
RANK | DENSE_RANK | PERCENT_RANK | CUME_DIST | NTILE | ROW_NUMBER
)
analytic_function_name = (
navigation_function_name
| aggregate_function_name
| statistical_aggregate_function_name
| numbering_function_name
)("analytic_function_name")
partition_expression_list = delimitedList(grouping_term)(
"partition_expression_list"
)
window_frame_boundary_start = (
UNBOUNDED + PRECEDING
| numeric_literal + (PRECEDING | FOLLOWING)
| CURRENT + ROW
)
window_frame_boundary_end = (
UNBOUNDED + FOLLOWING
| numeric_literal + (PRECEDING | FOLLOWING)
| CURRENT + ROW
)
window_frame_clause = (ROWS | RANGE) + (
((UNBOUNDED + PRECEDING) | (numeric_literal + PRECEDING) | (CURRENT + ROW))
| (BETWEEN + window_frame_boundary_start + AND + window_frame_boundary_end)
)
window_name = identifier.copy()("window_name")
window_specification = (
Optional(window_name)
+ Optional(PARTITION + BY + partition_expression_list)
+ Optional(ORDER + BY + delimitedList(ordering_term))
+ Optional(window_frame_clause)("window_specification")
)
analytic_function = (
analytic_function_name
+ LPAR
+ function_args
+ RPAR
+ OVER
+ (window_name | LPAR + Optional(window_specification) + RPAR)
)("analytic_function")
string_agg_term = (
STRING_AGG
+ LPAR
+ Optional(DISTINCT)
+ expr
+ Optional(COMMA + string_literal)
+ Optional(
ORDER + BY + expr + Optional(ASC | DESC) + Optional(LIMIT + integer)
)
+ RPAR
)("string_agg")
array_literal = (
Optional(ARRAY + Optional(LT + delimitedList(type_name) + GT))
+ LBRACKET
+ delimitedList(expr)
+ RBRACKET
)
interval = INTERVAL + expr + date_part
array_generator = (
GENERATE_ARRAY
+ LPAR
+ numeric_literal
+ COMMA
+ numeric_literal
+ COMMA
+ numeric_literal
+ RPAR
)
date_array_generator = (
(GENERATE_DATE_ARRAY | GENERATE_TIMESTAMP_ARRAY)
+ LPAR
+ expr("start_date")
+ COMMA
+ expr("end_date")
+ Optional(COMMA + interval)
+ RPAR
)
explicit_struct = (
STRUCT
+ Optional(LT + delimitedList(type_name) + GT)
+ LPAR
+ Optional(delimitedList(expr + Optional(AS + identifier)))
+ RPAR
)
case_when = WHEN + expr.copy()("when")
case_then = THEN + expr.copy()("then")
case_clauses = Group((case_when + case_then)[...])
case_else = ELSE + expr.copy()("else")
case_stmt = (
CASE
+ Optional(case_expr.copy())
+ case_clauses("case_clauses")
+ Optional(case_else)
+ END
)("case")
expr_term = (
(analytic_function)("analytic_function")
| (CAST + LPAR + expr + AS + type_name + RPAR)("cast")
| (SAFE_CAST + LPAR + expr + AS + type_name + RPAR)("safe_cast")
| (Optional(EXISTS) + LPAR + ungrouped_select_stmt + RPAR)("subselect")
| (literal_value)("literal")
| (bind_parameter)("bind_parameter")
| (EXTRACT + LPAR + expr + FROM + expr + RPAR)("extract")
| case_stmt
| (datetime_operators + LPAR + expr + COMMA + interval + RPAR)(
"date_operation"
)
| string_agg_term("string_agg_term")
| array_literal("array_literal")
| array_generator("array_generator")
| date_array_generator("date_array_generator")
| explicit_struct("explicit_struct")
| function_call("function_call")
| qualified_column_name("column")
) + Optional(LBRACKET + (OFFSET | ORDINAL) + LPAR + expr + RPAR + RBRACKET)(
"offset_ordinal"
)
struct_term = LPAR + delimitedList(expr_term) + RPAR
UNARY, BINARY, TERNARY = 1, 2, 3
expr <<= infixNotation(
(expr_term | struct_term),
[
(oneOf("- + ~") | NOT, UNARY, opAssoc.RIGHT),
(ISNULL | NOTNULL | NOT + NULL, UNARY, opAssoc.LEFT),
("||", BINARY, opAssoc.LEFT),
(oneOf("* / %"), BINARY, opAssoc.LEFT),
(oneOf("+ -"), BINARY, opAssoc.LEFT),
(oneOf("<< >> & |"), BINARY, opAssoc.LEFT),
(oneOf("= > < >= <= <> != !< !> =="), BINARY, opAssoc.LEFT),
(
IS + Optional(NOT)
| Optional(NOT) + IN
| Optional(NOT) + LIKE
| GLOB
| MATCH
| REGEXP
| CONTAINS,
BINARY,
opAssoc.LEFT,
),
((BETWEEN, AND), TERNARY, opAssoc.LEFT),
(
Optional(NOT)
+ IN
+ LPAR
+ Group(ungrouped_select_stmt | delimitedList(expr))
+ RPAR,
UNARY,
opAssoc.LEFT,
),
(AND, BINARY, opAssoc.LEFT),
(OR, BINARY, opAssoc.LEFT),
],
)
quoted_expr = (
expr | QUOT + expr + QUOT | APOS + expr + APOS | ACC + expr + ACC
)("quoted_expr")
compound_operator = (
UNION + Optional(ALL | DISTINCT)
| INTERSECT + DISTINCT
| EXCEPT + DISTINCT
| INTERSECT
| EXCEPT
)("compound_operator")
join_constraint = Group(
Optional(
ON + expr
| USING + LPAR + Group(delimitedList(qualified_column_name)) + RPAR
)
)("join_constraint")
join_op = (
COMMA
| Group(
Optional(NATURAL)
+ Optional(
INNER
| CROSS
| LEFT + OUTER
| LEFT
| RIGHT + OUTER
| RIGHT
| FULL + OUTER
| OUTER
| FULL
)
+ JOIN
)
)("join_op")
join_source = Forward()
# We support three kinds of table identifiers.
#
# First, dot delimited info like project.dataset.table, where
# each component follows the rules described in the BigQuery
# docs, namely:
# Contain letters (upper or lower case), numbers, and underscores
#
# Second, a dot delimited quoted string. Since it's quoted, we'll be
# liberal w.r.t. what characters we allow. E.g.:
# `project.dataset.name-with-dashes`
#
# Third, a series of quoted strings, delimited by dots, e.g.:
# `project`.`dataset`.`name-with-dashes`
#
# We also support combinations, like:
# project.dataset.`name-with-dashes`
# `project`.`dataset.name-with-dashes`
def record_table_identifier(t):
identifier_list = t.asList()
padded_list = [None] * (3 - len(identifier_list)) + identifier_list
cls._table_identifiers.add(tuple(padded_list))
standard_table_part = ~keyword + Word(alphanums + "_")
quoted_project_part = QUOTED_QUOT | QUOTED_APOS | QUOTED_ACC
quoted_table_part = (
QUOT + CharsNotIn('".') + QUOT
| APOS + CharsNotIn("'.") + APOS
| ACC + CharsNotIn("`.") + ACC
)
quoted_table_parts_identifier = (
Optional(
(quoted_project_part("project") | standard_table_part("project")) + DOT
)
+ Optional(
(quoted_table_part("dataset") | standard_table_part("dataset")) + DOT
)
+ (quoted_table_part("table") | standard_table_part("table"))
).setParseAction(record_table_identifier)
def record_quoted_table_identifier(t):
identifier_list = t[0].split(".")
*first, second, third = identifier_list
first = ".".join(first) or None
identifier_list = [first, second, third]
padded_list = [None] * (3 - len(identifier_list)) + identifier_list
cls._table_identifiers.add(tuple(padded_list))
quotable_table_parts_identifier = (
QUOTED_QUOT | QUOTED_APOS | QUOTED_ACC | QUOTED_BRACKETS
).setParseAction(record_quoted_table_identifier)
table_identifier = (
quoted_table_parts_identifier | quotable_table_parts_identifier
).setName("table_identifier")
single_source = (
(
table_identifier
+ Optional(Optional(AS) + table_alias("table_alias*"))
+ Optional(FOR - SYSTEM_TIME + AS + OF + expr)
+ Optional(INDEXED + BY + index_name("name") | NOT + INDEXED)
)("index")
| (LPAR + ungrouped_select_stmt + RPAR)
| (LPAR + join_source + RPAR)
| (UNNEST + LPAR + expr + RPAR)
) + Optional(Optional(AS) + table_alias)
join_source <<= single_source + (join_op + single_source + join_constraint)[...]
over_partition = (PARTITION + BY + delimitedList(partition_expression_list))(
"over_partition"
)
over_order = ORDER + BY + delimitedList(ordering_term)
over_unsigned_value_specification = expr
over_window_frame_preceding = (
UNBOUNDED + PRECEDING
| over_unsigned_value_specification + PRECEDING
| CURRENT + ROW
)
over_window_frame_following = (
UNBOUNDED + FOLLOWING
| over_unsigned_value_specification + FOLLOWING
| CURRENT + ROW
)
over_window_frame_bound = (
over_window_frame_preceding | over_window_frame_following
)
over_window_frame_between = (
BETWEEN + over_window_frame_bound + AND + over_window_frame_bound
)
over_window_frame_extent = (
over_window_frame_preceding | over_window_frame_between
)
over_row_or_range = (ROWS | RANGE) + over_window_frame_extent
over = (
OVER
+ LPAR
+ Optional(over_partition)
+ Optional(over_order)
+ Optional(over_row_or_range)
+ RPAR
)("over")
if_term = IF - LPAR + expr + COMMA + expr + COMMA + expr + RPAR
result_column = Optional(table_name + ".") + "*" + Optional(
EXCEPT + LPAR + delimitedList(column_name) + RPAR
) | Group(quoted_expr + Optional(over))
window_select_clause = (
WINDOW + identifier + AS + LPAR + window_specification + RPAR
)
with_stmt = Forward().setName("with statement")
ungrouped_select_no_with = (
SELECT
+ Optional(DISTINCT | ALL)
+ Group(
delimitedList(
(~FROM + ~IF + result_column | if_term)
+ Optional(Optional(AS) + column_alias),
allow_trailing_delim=True,
)
)("columns")
+ Optional(FROM + join_source("from*"))
+ Optional(WHERE + expr)
+ Optional(
GROUP + BY + Group(delimitedList(grouping_term))("group_by_terms")
)
+ Optional(HAVING + expr("having_expr"))
+ Optional(
ORDER + BY + Group(delimitedList(ordering_term))("order_by_terms")
)
+ Optional(delimitedList(window_select_clause))
)
select_no_with = ungrouped_select_no_with | (
LPAR + ungrouped_select_no_with + RPAR
)
select_core = Optional(with_stmt) + select_no_with
grouped_select_core = select_core | (LPAR + select_core + RPAR)
ungrouped_select_stmt <<= (
grouped_select_core
+ (compound_operator + grouped_select_core)[...]
+ Optional(
LIMIT
+ (Group(expr + OFFSET + expr) | Group(expr + COMMA + expr) | expr)(
"limit"
)
)
)("select")
select_stmt = (
ungrouped_select_stmt | (LPAR + ungrouped_select_stmt + RPAR)
) + Optional(SEMI)
# define comment format, and ignore them
sql_comment = oneOf("-- #") + restOfLine | cStyleComment
select_stmt.ignore(sql_comment)
def record_with_alias(t):
identifier_list = t.asList()
padded_list = [None] * (3 - len(identifier_list)) + identifier_list
cls._with_aliases.add(tuple(padded_list))
with_clause = Group(
identifier.setParseAction(record_with_alias)
+ AS
+ LPAR
+ select_stmt
+ RPAR
)
with_stmt <<= WITH + delimitedList(with_clause)
with_stmt.ignore(sql_comment)
cls._parser = select_stmt
return cls._parser
def test(self, sql_stmt, expected_tables, verbose=False):
def print_(*args):
if verbose:
print(*args)
print_(textwrap.dedent(sql_stmt.strip()))
found_tables = self.get_table_names(sql_stmt)
print_(found_tables)
expected_tables_set = set(expected_tables)
if expected_tables_set != found_tables:
raise Exception(
f"Test {test_index} failed- expected {expected_tables_set} but got {found_tables}"
)
print_()
if __name__ == "__main__":
# fmt: off
TEST_CASES = [
[
"""\
SELECT x FROM y.a, b
""",
[
(None, "y", "a"),
(None, None, "b"),
],
],
[
"""\
SELECT x FROM y.a JOIN b
""",
[
(None, "y", "a"),
(None, None, "b"),
],
],
[
"""\
select * from xyzzy where z > 100
""",
[
(None, None, "xyzzy"),
],
],
[
"""\
select * from xyzzy where z > 100 order by zz
""",
[
(None, None, "xyzzy"),
],
],
[
"""\
select * from xyzzy
""",
[
(None, None, "xyzzy"),
],
],
[
"""\
select z.* from xyzzy
""",
[
(None, None, "xyzzy"),
],
],
[
"""\
select a, b from test_table where 1=1 and b='yes'
""",
[
(None, None, "test_table"),
],
],
[
"""\
select a, b from test_table where 1=1 and b in (select bb from foo)
""",
[
(None, None, "test_table"),
(None, None, "foo"),
],
],
[
"""\
select z.a, b from test_table where 1=1 and b in (select bb from foo)
""",
[
(None, None, "test_table"),
(None, None, "foo"),
],
],
[
"""\
select z.a, b from test_table where 1=1 and b in (select bb from foo) order by b,c desc,d
""",
[
(None, None, "test_table"),
(None, None, "foo"),
],
],
[
"""\
select z.a, b from test_table left join test2_table where 1=1 and b in (select bb from foo)
""",
[
(None, None, "test_table"),
(None, None, "test2_table"),
(None, None, "foo"),
],
],
[
"""\
select a, db.table.b as BBB from db.table where 1=1 and BBB='yes'
""",
[
(None, "db", "table"),
],
],
[
"""\
select a, db.table.b as BBB from test_table,db.table where 1=1 and BBB='yes'
""",
[
(None, None, "test_table"),
(None, "db", "table"),
],
],
[
"""\
select a, db.table.b as BBB from test_table,db.table where 1=1 and BBB='yes' limit 50
""",
[
(None, None, "test_table"),
(None, "db", "table"),
],
],
[
"""\
select a, b from test_table where (1=1 or 2=3) and b='yes' group by zx having b=2 order by 1
""",
[
(None, None, "test_table"),
],
],
[
"""\
select
a,
b
# this is a comment
from
test_table
# another comment
where (1=1 or 2=3) and b='yes'
#yup, a comment
group by zx having b=2 order by 1
""",
[
(None, None, "test_table"),
],
],
[
"""\
SELECT COUNT(DISTINCT foo) FROM bar JOIN baz ON bar.baz_id = baz.id
""",
[
(None, None, "bar"),
(None, None, "baz"),
],
],
[
"""\
SELECT COUNT(DISTINCT foo) FROM bar, baz WHERE bar.baz_id = baz.id
""",
[
(None, None, "bar"),
(None, None, "baz"),
],
],
[
"""\
WITH one AS (SELECT id FROM foo) SELECT one.id
""",
[
(None, None, "foo"),
],
],
[
"""\
WITH one AS (SELECT id FROM foo), two AS (select id FROM bar) SELECT one.id, two.id
""",
[
(None, None, "foo"),
(None, None, "bar"),
],
],
[
"""\
SELECT x,
RANK() OVER (ORDER BY x ASC) AS rank,
DENSE_RANK() OVER (ORDER BY x ASC) AS dense_rank,
ROW_NUMBER() OVER (PARTITION BY x ORDER BY y) AS row_num
FROM a
""",
[
(None, None, "a"),
],
],
[
"""\
SELECT x, COUNT(*) OVER ( ORDER BY x
RANGE BETWEEN 2 PRECEDING AND 2 FOLLOWING ) AS count_x
FROM T
""",
[
(None, None, "T"),
],
],
[
"""\
SELECT firstname, department, startdate,
RANK() OVER ( PARTITION BY department ORDER BY startdate ) AS rank
FROM Employees
""",
[
(None, None, "Employees"),
],
],
# A fragment from https://cloud.google.com/bigquery/docs/reference/standard-sql/navigation_functions
[
"""\
SELECT 'Sophia Liu' as name,
TIMESTAMP '2016-10-18 2:51:45' as finish_time,
'F30-34' as division
UNION ALL SELECT 'Lisa Stelzner', TIMESTAMP '2016-10-18 2:54:11', 'F35-39'
UNION ALL SELECT 'Nikki Leith', TIMESTAMP '2016-10-18 2:59:01', 'F30-34'
UNION ALL SELECT 'Lauren Matthews', TIMESTAMP '2016-10-18 3:01:17', 'F35-39'
UNION ALL SELECT 'Desiree Berry', TIMESTAMP '2016-10-18 3:05:42', 'F35-39'
UNION ALL SELECT 'Suzy Slane', TIMESTAMP '2016-10-18 3:06:24', 'F35-39'
UNION ALL SELECT 'Jen Edwards', TIMESTAMP '2016-10-18 3:06:36', 'F30-34'
UNION ALL SELECT 'Meghan Lederer', TIMESTAMP '2016-10-18 3:07:41', 'F30-34'
UNION ALL SELECT 'Carly Forte', TIMESTAMP '2016-10-18 3:08:58', 'F25-29'
UNION ALL SELECT 'Lauren Reasoner', TIMESTAMP '2016-10-18 3:10:14', 'F30-34'
""",
[],
],
# From https://cloud.google.com/bigquery/docs/reference/standard-sql/navigation_functions
[
"""\
WITH finishers AS
(SELECT 'Sophia Liu' as name,
TIMESTAMP '2016-10-18 2:51:45' as finish_time,
'F30-34' as division
UNION ALL SELECT 'Lisa Stelzner', TIMESTAMP '2016-10-18 2:54:11', 'F35-39'
UNION ALL SELECT 'Nikki Leith', TIMESTAMP '2016-10-18 2:59:01', 'F30-34'
UNION ALL SELECT 'Lauren Matthews', TIMESTAMP '2016-10-18 3:01:17', 'F35-39'
UNION ALL SELECT 'Desiree Berry', TIMESTAMP '2016-10-18 3:05:42', 'F35-39'
UNION ALL SELECT 'Suzy Slane', TIMESTAMP '2016-10-18 3:06:24', 'F35-39'
UNION ALL SELECT 'Jen Edwards', TIMESTAMP '2016-10-18 3:06:36', 'F30-34'
UNION ALL SELECT 'Meghan Lederer', TIMESTAMP '2016-10-18 3:07:41', 'F30-34'
UNION ALL SELECT 'Carly Forte', TIMESTAMP '2016-10-18 3:08:58', 'F25-29'
UNION ALL SELECT 'Lauren Reasoner', TIMESTAMP '2016-10-18 3:10:14', 'F30-34')
SELECT name,
FORMAT_TIMESTAMP('%X', finish_time) AS finish_time,
division,
FORMAT_TIMESTAMP('%X', fastest_time) AS fastest_time,
TIMESTAMP_DIFF(finish_time, fastest_time, SECOND) AS delta_in_seconds
FROM (
SELECT name,
finish_time,
division,
FIRST_VALUE(finish_time)
OVER (PARTITION BY division ORDER BY finish_time ASC
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS fastest_time
FROM finishers)
""",
[],
],
# From https://cloud.google.com/bigquery/docs/reference/standard-sql/navigation_functions
[
"""\
WITH finishers AS
(SELECT 'Sophia Liu' as name,
TIMESTAMP '2016-10-18 2:51:45' as finish_time,
'F30-34' as division
UNION ALL SELECT 'Lisa Stelzner', TIMESTAMP '2016-10-18 2:54:11', 'F35-39'
UNION ALL SELECT 'Nikki Leith', TIMESTAMP '2016-10-18 2:59:01', 'F30-34'
UNION ALL SELECT 'Lauren Matthews', TIMESTAMP '2016-10-18 3:01:17', 'F35-39'
UNION ALL SELECT 'Desiree Berry', TIMESTAMP '2016-10-18 3:05:42', 'F35-39'
UNION ALL SELECT 'Suzy Slane', TIMESTAMP '2016-10-18 3:06:24', 'F35-39'
UNION ALL SELECT 'Jen Edwards', TIMESTAMP '2016-10-18 3:06:36', 'F30-34'
UNION ALL SELECT 'Meghan Lederer', TIMESTAMP '2016-10-18 3:07:41', 'F30-34'
UNION ALL SELECT 'Carly Forte', TIMESTAMP '2016-10-18 3:08:58', 'F25-29'
UNION ALL SELECT 'Lauren Reasoner', TIMESTAMP '2016-10-18 3:10:14', 'F30-34')
SELECT name,
FORMAT_TIMESTAMP('%X', finish_time) AS finish_time,
division,
FORMAT_TIMESTAMP('%X', slowest_time) AS slowest_time,
TIMESTAMP_DIFF(slowest_time, finish_time, SECOND) AS delta_in_seconds
FROM (
SELECT name,
finish_time,
division,
LAST_VALUE(finish_time)
OVER (PARTITION BY division ORDER BY finish_time ASC
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS slowest_time
FROM finishers)
""",
[],
],
# From https://cloud.google.com/bigquery/docs/reference/standard-sql/navigation_functions
[
"""\
WITH finishers AS
(SELECT 'Sophia Liu' as name,
TIMESTAMP '2016-10-18 2:51:45' as finish_time,
'F30-34' as division
UNION ALL SELECT 'Lisa Stelzner', TIMESTAMP '2016-10-18 2:54:11', 'F35-39'
UNION ALL SELECT 'Nikki Leith', TIMESTAMP '2016-10-18 2:59:01', 'F30-34'
UNION ALL SELECT 'Lauren Matthews', TIMESTAMP '2016-10-18 3:01:17', 'F35-39'
UNION ALL SELECT 'Desiree Berry', TIMESTAMP '2016-10-18 3:05:42', 'F35-39'
UNION ALL SELECT 'Suzy Slane', TIMESTAMP '2016-10-18 3:06:24', 'F35-39'
UNION ALL SELECT 'Jen Edwards', TIMESTAMP '2016-10-18 3:06:36', 'F30-34'
UNION ALL SELECT 'Meghan Lederer', TIMESTAMP '2016-10-18 3:07:41', 'F30-34'
UNION ALL SELECT 'Carly Forte', TIMESTAMP '2016-10-18 3:08:58', 'F25-29'
UNION ALL SELECT 'Lauren Reasoner', TIMESTAMP '2016-10-18 3:10:14', 'F30-34')
SELECT name,
FORMAT_TIMESTAMP('%X', finish_time) AS finish_time,
division,
FORMAT_TIMESTAMP('%X', fastest_time) AS fastest_time,
FORMAT_TIMESTAMP('%X', second_fastest) AS second_fastest
FROM (
SELECT name,
finish_time,
division,finishers,
FIRST_VALUE(finish_time)
OVER w1 AS fastest_time,
NTH_VALUE(finish_time, 2)
OVER w1 as second_fastest
FROM finishers
WINDOW w1 AS (
PARTITION BY division ORDER BY finish_time ASC
ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING))
""",
[],
],
# From https://cloud.google.com/bigquery/docs/reference/standard-sql/navigation_functions
[
"""\
WITH finishers AS