AdalbertMemSQL commented on code in PR #32887: URL: https://github.com/apache/superset/pull/32887#discussion_r2028529293
########## superset/db_engine_specs/singlestore.py: ########## @@ -0,0 +1,558 @@ +# Licensed to the Apache Software Foundation (ASF) under one +# or more contributor license agreements. See the NOTICE file +# distributed with this work for additional information +# regarding copyright ownership. The ASF licenses this file +# to you under the Apache License, Version 2.0 (the +# "License"); you may not use this file except in compliance +# with the License. You may obtain a copy of the License at +# +# http://www.apache.org/licenses/LICENSE-2.0 +# +# Unless required by applicable law or agreed to in writing, +# software distributed under the License is distributed on an +# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY +# KIND, either express or implied. See the License for the +# specific language governing permissions and limitations +# under the License. + +import logging +import re +from datetime import datetime +from typing import Any, Optional +from urllib import parse + +from flask import current_app +from sqlalchemy import types +from sqlalchemy.engine import URL + +from superset.constants import TimeGrain +from superset.db_engine_specs.base import BaseEngineSpec, ColumnTypeMapping, LimitMethod +from superset.models.core import Database +from superset.models.sql_lab import Query +from superset.utils.core import GenericDataType + +logger = logging.getLogger(__name__) + + +class SingleStoreSpec(BaseEngineSpec): + engine_name = "SingleStore" + + engine = "singlestoredb" + drivers = {"singlestoredb": "SingleStore Python client"} + default_driver = "singlestoredb" + + limit_method = LimitMethod.FORCE_LIMIT + allows_joins = True + allows_subqueries = True + allows_alias_in_select = True + allows_alias_in_orderby = True + time_groupby_inline = False + allows_alias_to_source_column = True + allows_hidden_orderby_agg = True + allows_hidden_cc_in_orderby = False + allows_cte_in_subquery = True + allow_limit_clause = True + max_column_name_length = 256 + allows_sql_comments = True + allows_escaped_colons = True + supports_file_upload = True + supports_dynamic_schema = True + disable_ssh_tunneling = False + + sqlalchemy_uri_placeholder = ( + "singlestoredb://{username}:{password}@{host}:{port}/{database}" + ) + + _time_grain_expressions = { + None: "{col}", + TimeGrain.SECOND: "DATE_TRUNC('second', {col})", + TimeGrain.MINUTE: "DATE_TRUNC('minute', {col})", + TimeGrain.HOUR: "DATE_TRUNC('hour', {col})", + TimeGrain.DAY: "DATE_TRUNC('day', {col})", + TimeGrain.WEEK: "DATE_TRUNC('week', {col})", + TimeGrain.MONTH: "DATE_TRUNC('month', {col})", + TimeGrain.QUARTER: "DATE_TRUNC('quarter', {col})", + TimeGrain.YEAR: "DATE_TRUNC('year', {col})", + } + + column_type_mappings: tuple[ColumnTypeMapping, ...] = ( + ( + re.compile(r"^tinyint", re.IGNORECASE), + types.SmallInteger(), + GenericDataType.NUMERIC, + ), + ( + re.compile(r"^mediumint", re.IGNORECASE), + types.Integer(), + GenericDataType.NUMERIC, + ), + ( + re.compile(r"^year", re.IGNORECASE), + types.Integer(), + GenericDataType.NUMERIC, + ), + ( + re.compile(r"^bit", re.IGNORECASE), + types.LargeBinary(), + GenericDataType.STRING, + ), + ( + re.compile(r"^(var)?binary", re.IGNORECASE), + types.LargeBinary(), + GenericDataType.STRING, + ), + ( + re.compile(r"^(tiny|medium|long)?blob", re.IGNORECASE), + types.LargeBinary(), + GenericDataType.STRING, + ), + ( + re.compile(r"^json", re.IGNORECASE), + types.String(), + GenericDataType.STRING, + ), + ( + re.compile(r"^bson", re.IGNORECASE), + types.LargeBinary(), + GenericDataType.STRING, + ), + ( + re.compile(r"^geographypoint", re.IGNORECASE), + types.String(), + GenericDataType.STRING, + ), + ( + re.compile(r"^geography", re.IGNORECASE), + types.String(), + GenericDataType.STRING, + ), + ( + re.compile(r"^vector", re.IGNORECASE), + types.String(), + GenericDataType.STRING, + ), + ( + re.compile(r"^enum", re.IGNORECASE), + types.String(), + GenericDataType.STRING, + ), + ( + re.compile(r"^set", re.IGNORECASE), + types.String(), + GenericDataType.STRING, + ), + ) + + @classmethod + def get_function_names( + cls, + database: Database, + ) -> list[str]: + """ + Get a list of function names that are able to be called on the database. + Used for SQL Lab autocomplete. + + :param database: The database to get functions for + :return: A list of function names usable in the database + """ + + functions = [ + "ABS", + "ACOS", + "ADDTIME", + "AES_DECRYPT", + "AES_ENCRYPT", + "AGGREGATOR_ID", + "ANY_VALUE", + "APPROX_COUNT_DISTINCT", + "APPROX_COUNT_DISTINCT_ACCUMULATE", + "APPROX_COUNT_DISTINCT_COMBINE", + "APPROX_COUNT_DISTINCT_ESTIMATE", + "APPROX_GEOGRAPHY_INTERSECTS", + "APPROX_PERCENTILE", + "ASCII", + "ASIN", + "ATAN", + "ATAN2", + "ATAN", + "AVG", + "BETWEEN", + "NOT", + "BIN", + "BIN_TO_UUID", + "BINARY", + "BIT_AND", + "BIT_COUNT", + "BIT_OR", + "BIT_XOR", + "BM25", + "BSON_ARRAY_CONTAINS_BSON", + "BSON_ARRAY_PUSH", + "BSON_ARRAY_SLICE", + "BSON_BUILD_ARRAY", + "BSON_BUILD_OBJECT", + "BSON_COMPARE", + "BSON_EXTRACT_BIGINT", + "BSON_EXTRACT_BOOL", + "BSON_EXTRACT_BSON", + "BSON_EXTRACT_DATETIME", + "BSON_EXTRACT_DOUBLE", + "BSON_EXTRACT_STRING", + "BSON_GET_TYPE", + "BSON_INCLUDE_MASK", + "BSON_EXCLUDE_MASK", + "BSON_LENGTH", + "BSON_MATCH_ANY", + "BSON_MATCH_ANY_EXISTS", + "BSON_MERGE", + "BSON_NORMALIZE", + "BSON_NORMALIZE_ASC", + "BSON_NORMALIZE_DESC", + "BSON_NORMALIZE_DESC", + "BSON_SET_BSON", + "BSON_UNWIND", + "CASE", + "CEIL", + "CHAR", + "CHARACTER_LENGTH", + "CHARSET", + "COALESCE", + "CONCAT", + "CONCAT_WS", + "CONNECTION_ID", + "CONV", + "CAST", + "CONVERT", + "CONVERT_TZ", + "COS", + "COT", + "COUNT", + "CRC32", + "CURRENT_DATE", + "CURDATE", + "CURRENT_TIME", + "CURTIME", + "CURRENT_TIMESTAMP", + "DATABASE", + "DATE", + "DATE_ADD", + "DATE_FORMAT", + "DATE_SUB", + "DATE_TRUNC", + "DATEDIFF", + "DAY", + "DAYNAME", + "DAYOFWEEK", + "DAYOFYEAR", + "DECODE", + "DEGREES", + "DENSE_RANK", + "DOT_PRODUCT", + "ELT", + "ESTIMATED_QUERY_LEAF_MEMORY", + "ESTIMATED_QUERY_RUNTIME", + "EUCLIDEAN_DISTANCE", + "EXP", + "EXTRACT", + "FIELD", + "FIRST", + "FIRST_VALUE", + "FLOOR", + "FORMAT", + "FOUND_ROWS", + "FROM_BASE64", + "FROM_DAYS", + "FROM_UNIXTIME", + "GEOGRAPHY_AREA", + "GEOGRAPHY_CONTAINS", + "GEOGRAPHY_DISTANCE", + "GEOGRAPHY_INTERSECTS", + "GEOGRAPHY_LATITUDE", + "GEOGRAPHY_LENGTH", + "GEOGRAPHY_LONGITUDE", + "GEOGRAPHY_POINT", + "GEOGRAPHY_WITHIN_DISTANCE", + "GET_FORMAT", + "GREATEST", + "GROUP_CONCAT", + "HEX", + "HIGHLIGHT", + "HOUR", + "IF", + "IN", + "INET_ATON", + "INET_NTOA", + "INET6_ATON", + "INET6_NTOA", + "INITCAP", + "INSTR", + "IS_BSON_NULL", + "IS_UUID", + "ISNULL", + "ISNUMERIC", + "JSON_AGG", + "JSON_ARRAY_CONTAINS_DOUBLE", + "JSON_ARRAY_CONTAINS_STRING", + "JSON_ARRAY_CONTAINS_JSON", + "JSON_ARRAY_PACK", + "JSON_ARRAY_PUSH_DOUBLE", + "JSON_ARRAY_PUSH_STRING", + "JSON_ARRAY_PUSH_JSON", + "JSON_ARRAY_UNPACK", + "JSON_BUILD_ARRAY", + "JSON_BUILD_OBJECT", + "JSON_DELETE_KEY", + "JSON_EXTRACT_DOUBLE", + "JSON_EXTRACT_STRING", + "JSON_EXTRACT_JSON", + "JSON_EXTRACT_BIGINT", + "JSON_GET_TYPE", + "JSON_KEYS", + "JSON_LENGTH", + "JSON_MATCH_ANY", + "JSON_MERGE_PATCH", + "JSON_PRETTY", + "JSON_SET_DOUBLE", + "JSON_SET_STRING", + "JSON_SET_JSON", + "JSON_SPLICE_DOUBLE", + "JSON_SPLICE_STRING", + "JSON_SPLICE_JSON", + "JSON_TO_ARRAY", + "LAG", + "LAST", + "LAST_DAY", + "LAST_INSERT_ID", + "LAST_VALUE", + "LCASE", + "LEAD", + "LEAST", + "LEFT", + "LENGTH", + "LIKE", + "LN", + "LOCALTIMESTAMP", + "LOCATE", + "LOG", + "LOG10", + "LOG2", + "LPAD", + "LTRIM", + "MATCH", + "MAX", + "MD5", + "MEDIAN", + "MICROSECOND", + "MIN", + "MINUTE", + "MOD", + "MONTH", + "MONTHNAME", + "MONTHS_BETWEEN", + "NOPARAM", + "NOW", + "NTH_VALUE", + "NTILE", + "NULLIF", + "NVL", + "IFNULL", + "PERCENT_RANK", + "PERCENTILE_CONT", + "MEDIAN", + "PERCENTILE_DISC", + "PI", + "POW", + "QUARTER", + "QUOTE", + "RADIANS", + "RAND", + "RANK", + "REDUCE", + "REGEXP_INSTR", + "REGEXP_MATCH", + "REGEXP_REPLACE", + "REGEXP_SUBSTR", + "REPLACE", + "REVERSE", + "RIGHT", + "RLIKE", + "REGEXP", + "ROUND", + "ROW_COUNT", + "ROW_NUMBER", + "RPAD", + "RTRIM", + "SCALAR_VECTOR_MUL", + "SEC_TO_TIME", + "SECOND", + "SECRET", + "SET", + "SHA1", + "SHA2", + "SIGMOID", + "SIGN", + "SIN", + "SLEEP", + "SPLIT", + "SQRT", + "STD", + "STDDEV", + "STDDEV_POP", + "STDDEV_SAMP", + "STR_TO_DATE", + "strcmp", + "STRING_BYTES", + "SUBSTRING", + "SUBSTRING_INDEX", + "SUM", + "SYS_GUID", + "UUID", + "TAN", + "TIME", + "TIME_BUCKET", + "TIME_FORMAT", + "TIME_TO_SEC", + "TIMEDIFF", + "TIMESTAMP", + "TIMESTAMPADD", + "TIMESTAMPDIFF", + "TO_BASE64", + "TO_CHAR", + "TO_DATE", + "TO_DAYS", + "TO_JSON", + "TO_NUMBER", + "TO_SECONDS", + "TO_TIMESTAMP", + "TRIM", + "TRUNC", + "TRUNCATE", + "UCASE", + "UNHEX", + "UNIX_TIMESTAMP", + "USER", + "UTC_DATE", + "UTC_TIME", + "UTC_TIMESTAMP", + "UUID_TO_BIN", + "VARIANCE", + "VAR_SAMP", + "VECTOR_ADD", + "VECTOR_ELEMENTS_SUM", + "VECTOR_KTH_ELEMENT", + "VECTOR_MUL", + "VECTOR_NUM_ELEMENTS", + "VECTOR_SORT", + "VECTOR_SUB", + "VECTOR_SUBVECTOR", + "VECTOR_SUM", + "WEEK", + "WEEKDAY", + "YEAR", + ] + + if (database_name := cls.get_default_schema(database, None)) is not None: + df = database.get_df( + f"SHOW FUNCTIONS IN `{database_name.replace('`', '``')}`" + ) + + function_name_col = f"Functions_in_{database_name}" + if function_name_col in df: + functions += df[function_name_col].tolist() Review Comment: Updated this -- This is an automated message from the Apache Git Service. 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