fix(teradata): LIMIT syntax

docs/installation.rst

@@ -569,7 +569,7 @@ Here's a list of some of the recommended packages.
 +------------------+-------------------------------------------------------------------+-------------------------------------------------+
 | SQL Server       | ``"apache-superset[mssql]"``                                      | ``mssql://``                                    |
 +------------------+-------------------------------------------------------------------+-------------------------------------------------+
-| Teradata         | ``"apache-superset[teradata]"``                                   | ``teradata://``                                 |
+| Teradata         | ``"apache-superset[teradata]"``                                   | ``teradatasql://``                              |
 +------------------+-------------------------------------------------------------------+-------------------------------------------------+
 | Vertica          | ``"apache-superset[vertical]"``                                   |  ``vertica+vertica_python://``                  |
 +------------------+-------------------------------------------------------------------+-------------------------------------------------+
@@ -753,16 +753,17 @@ Teradata
 
 The connection string for Teradata looks like this ::
 
-    teradata://{user}:{password}@{host}
+The recommended connector library is
+[teradatasql](https://github.com/Teradata/python-driver).
+Also, see the latest on [PyPi](https://pypi.org/project/teradatasql/)
 
-*Note*: Its required to have Teradata ODBC drivers installed and environment variables configured for proper work of sqlalchemy dialect. Teradata ODBC Drivers available here: https://downloads.teradata.com/download/connectivity/odbc-driver/linux
+The connection string for Teradata looks like this:
 
-Required environment variables: ::
-
-    export ODBCINI=/.../teradata/client/ODBC_64/odbc.ini
-    export ODBCINST=/.../teradata/client/ODBC_64/odbcinst.ini
+```
+teradatasql://{user}:{password}@{host}
+```
 
-See `Teradata SQLAlchemy <https://github.com/Teradata/sqlalchemy-teradata>`_.
+See `Teradata SQL Native Python Driver <https://github.com/Teradata/python-driver>`_.
 
 Apache Drill
 ------------

docs/src/pages/docs/Connecting to Databases/index.mdx

@@ -56,7 +56,7 @@ A list of some of the recommended packages.
 |[Snowflake](/docs/databases/snowflake)|```pip install snowflake-sqlalchemy```|```snowflake://{user}:{password}@{account}.{region}/{database}?role={role}&warehouse={warehouse}```|
 |SQLite||```sqlite://```|
 |[SQL Server](/docs/databases/sql-server)|```pip install pymssql```|```mssql://```|
-|[Teradata](/docs/databases/teradata)|```pip install sqlalchemy-teradata```|```teradata://{user}:{password}@{host}```|
+|[Teradata](/docs/databases/teradata)|```pip install teradatasql```|```teradatasql://{user}:{password}@{host}```|
 |[Vertica](/docs/databases/vertica)|```pip install sqlalchemy-vertica-python```|```vertica+vertica_python://<UserName>:<DBPassword>@<Database Host>/<Database Name>```|
 
 ***

docs/src/pages/docs/Connecting to Databases/teradata.mdx

@@ -9,21 +9,10 @@ version: 1
 ## Teradata
 
 The recommended connector library is
-[sqlalchemy-teradata](https://github.com/Teradata/sqlalchemy-teradata).
+[teradatasql](https://github.com/Teradata/python-driver).
 
 The connection string for Teradata looks like this:
 
 ```
-teradata://{user}:{password}@{host}
-```
-
-Note: Its required to have Teradata ODBC drivers installed and environment variables configured for
-proper work of sqlalchemy dialect. Teradata ODBC Drivers available here:
-https://downloads.teradata.com/download/connectivity/odbc-driver/linux
-
-Required environment variables:
-
-```
-export ODBCINI=/.../teradata/client/ODBC_64/odbc.ini
-export ODBCINST=/.../teradata/client/ODBC_64/odbcinst.ini
+teradatasql://{user}:{password}@{host}
 ```

setup.py

@@ -159,7 +159,7 @@ def get_git_sha() -> str:
         "snowflake": [
             "snowflake-sqlalchemy==1.2.4"
         ],  # PINNED! 1.2.5 introduced breaking changes requiring sqlalchemy>=1.4.0
-        "teradata": ["sqlalchemy-teradata==0.9.0.dev0"],
+        "teradata": ["teradatasql>=16.20.0.23"],
         "thumbnails": ["Pillow>=8.3.2, <10.0.0"],
         "vertica": ["sqlalchemy-vertica-python>=0.5.9, < 0.6"],
         "netezza": ["nzalchemy>=11.0.2"],

superset/db_engine_specs/teradata.py

@@ -14,13 +14,223 @@
 # KIND, either express or implied.  See the License for the
 # specific language governing permissions and limitations
 # under the License.
+
+from typing import Optional, Set
+
+import sqlparse
+from sqlparse.sql import (
+    Identifier,
+    IdentifierList,
+    Parenthesis,
+    remove_quotes,
+    Token,
+    TokenList,
+)
+from sqlparse.tokens import Keyword, Name, Punctuation, String, Whitespace
+from sqlparse.utils import imt
+
 from superset.db_engine_specs.base import BaseEngineSpec, LimitMethod
+from superset.sql_parse import Table
+
+PRECEDES_TABLE_NAME = {"FROM", "JOIN", "DESCRIBE", "WITH", "LEFT JOIN", "RIGHT JOIN"}
+CTE_PREFIX = "CTE__"
+JOIN = " JOIN"
+
+
+def _extract_limit_from_query_td(statement: TokenList) -> Optional[int]:
+    td_limit_keywork = {"TOP", "SAMPLE"}
+    str_statement = str(statement)
+    str_statement = str_statement.replace("\n", " ").replace("\r", "")
+    token = str_statement.rstrip().split(" ")
+    token = [part for part in token if part]
+    limit = None
+
+    for i, _ in enumerate(token):
+        if token[i].upper() in td_limit_keywork and len(token) - 1 > i:
+            try:
+                limit = int(token[i + 1])
+            except ValueError:
+                limit = None
+            break
+    return limit
+
+
+class ParsedQueryTeradata:
+    def __init__(
+        self, sql_statement: str, strip_comments: bool = False, uri_type: str = "None"
+    ):
+
+        if strip_comments:
+            sql_statement = sqlparse.format(sql_statement, strip_comments=True)
+
+        self.sql: str = sql_statement
+        self._tables: Set[Table] = set()
+        self._alias_names: Set[str] = set()
+        self._limit: Optional[int] = None
+        self.uri_type: str = uri_type
+
+        self._parsed = sqlparse.parse(self.stripped())
+        for statement in self._parsed:
+            self._limit = _extract_limit_from_query_td(statement)
+
+    @property
+    def tables(self) -> Set[Table]:
+        if not self._tables:
+            for statement in self._parsed:
+                self._extract_from_token(statement)
+
+            self._tables = {
+                table for table in self._tables if str(table) not in self._alias_names
+            }
+        return self._tables
+
+    def stripped(self) -> str:
+        return self.sql.strip(" \t\n;")
+
+    def _extract_from_token(self, token: Token) -> None:
+        """
+        <Identifier> store a list of subtokens and <IdentifierList> store lists of
+        subtoken list.
+
+        It extracts <IdentifierList> and <Identifier> from :param token: and loops
+        through all subtokens recursively. It finds table_name_preceding_token and
+        passes <IdentifierList> and <Identifier> to self._process_tokenlist to populate
+
+        self._tables.
+
+        :param token: instance of Token or child class, e.g. TokenList, to be processed
+        """
+        if not hasattr(token, "tokens"):
+            return
+
+        table_name_preceding_token = False
+
+        for item in token.tokens:
+            if item.is_group and (
+                not self._is_identifier(item) or isinstance(item.tokens[0], Parenthesis)
+            ):
+                self._extract_from_token(item)
+
+            if item.ttype in Keyword and (
+                item.normalized in PRECEDES_TABLE_NAME or item.normalized.endswith(JOIN)
+            ):
+                table_name_preceding_token = True
+                continue
+
+            if item.ttype in Keyword:
+                table_name_preceding_token = False
+                continue
+            if table_name_preceding_token:
+                if isinstance(item, Identifier):
+                    self._process_tokenlist(item)
+                elif isinstance(item, IdentifierList):
+                    for item_list in item.get_identifiers():
+                        if isinstance(item_list, TokenList):
+                            self._process_tokenlist(item_list)
+            elif isinstance(item, IdentifierList):
+                if any(not self._is_identifier(ItemList) for ItemList in item.tokens):
+                    self._extract_from_token(item)
+
+    @staticmethod
+    def _get_table(tlist: TokenList) -> Optional[Table]:
+        """
+        Return the table if valid, i.e., conforms to the [[catalog.]schema.]table
+        construct.
+
+        :param tlist: The SQL tokens
+        :returns: The table if the name conforms
+        """
+
+        # Strip the alias if present.
+        idx = len(tlist.tokens)
+
+        if tlist.has_alias():
+            ws_idx, _ = tlist.token_next_by(t=Whitespace)
+
+            if ws_idx != -1:
+                idx = ws_idx
+
+        tokens = tlist.tokens[:idx]
+
+        odd_token_number = len(tokens) in (1, 3, 5)
+        qualified_name_parts = all(
+            imt(token, t=[Name, String]) for token in tokens[::2]
+        )
+        dot_separators = all(imt(token, m=(Punctuation, ".")) for token in tokens[1::2])
+        if odd_token_number and qualified_name_parts and dot_separators:
+            return Table(*[remove_quotes(token.value) for token in tokens[::-2]])
+
+        return None
+
+    @staticmethod
+    def _is_identifier(token: Token) -> bool:
+        return isinstance(token, (IdentifierList, Identifier))
+
+    def _process_tokenlist(self, token_list: TokenList) -> None:
+        """
+        Add table names to table set
+
+        :param token_list: TokenList to be processed
+        """
+        # exclude subselects
+        if "(" not in str(token_list):
+            table = self._get_table(token_list)
+            if table and not table.table.startswith(CTE_PREFIX):
+                self._tables.add(table)
+            return
+
+        # store aliases
+        if token_list.has_alias():
+            self._alias_names.add(token_list.get_alias())
+
+        # some aliases are not parsed properly
+        if token_list.tokens[0].ttype == Name:
+            self._alias_names.add(token_list.tokens[0].value)
+        self._extract_from_token(token_list)
+
+    def set_or_update_query_limit_td(self, new_limit: int) -> str:
+        td_sel_keywords = {"SELECT", "SEL"}
+        td_limit_keywords = {"TOP", "SAMPLE"}
+        statement = self._parsed[0]
+
+        if not self._limit:
+            final_limit = new_limit
+        elif new_limit < self._limit:
+            final_limit = new_limit
+        else:
+            final_limit = self._limit
+
+        str_statement = str(statement)
+        str_statement = str_statement.replace("\n", " ").replace("\r", "")
+
+        tokens = str_statement.rstrip().split(" ")
+        tokens = [token for token in tokens if token]
+
+        if limit_not_in_sql(str_statement, td_limit_keywords):
+            selects = [i for i, word in enumerate(tokens) if word in td_sel_keywords]
+            first_select = selects[0]
+            tokens.insert(first_select + 1, "TOP")
+            tokens.insert(first_select + 2, str(final_limit))
+
+        next_is_limit_token = False
+        new_tokens = []
+
+        for token in tokens:
+            if token.upper() in td_limit_keywords:
+                next_is_limit_token = True
+            elif next_is_limit_token:
+                if token.isdigit():
+                    token = str(final_limit)
+                    next_is_limit_token = False
+            new_tokens.append(token)
+
+        return " ".join(new_tokens)
 
 
 class TeradataEngineSpec(BaseEngineSpec):
     """Dialect for Teradata DB."""
 
-    engine = "teradata"
+    engine = "teradatasql"
     engine_name = "Teradata"
     limit_method = LimitMethod.WRAP_SQL
     max_column_name_length = 30  # since 14.10 this is 128
@@ -32,7 +242,7 @@ class TeradataEngineSpec(BaseEngineSpec):
         "P1D": "TRUNC(CAST({col} as DATE), 'DDD')",
         "P1W": "TRUNC(CAST({col} as DATE), 'WW')",
         "P1M": "TRUNC(CAST({col} as DATE), 'MONTH')",
-        "P3M": "TRUNC(CAST({col} as DATE), 'Q')",
+        "P0.25Y": "TRUNC(CAST({col} as DATE), 'Q')",
         "P1Y": "TRUNC(CAST({col} as DATE), 'YEAR')",
     }
 
@@ -43,3 +253,29 @@ def epoch_to_dttm(cls) -> str:
             "AT 0)) AT 0) + (({col} MOD 86400) * INTERVAL '00:00:01' "
             "HOUR TO SECOND) AS TIMESTAMP(0))"
         )
+
+    @classmethod
+    def apply_limit_to_sql(
+        cls, sql: str, limit: int, database: str = "Database", force: bool = False
+    ) -> str:
+        """
+        Alters the SQL statement to apply a TOP clause
+        The function overwrites similar function in base.py because Teradata doesn't
+        support LIMIT syntax
+        :param sql: SQL query
+        :param limit: Maximum number of rows to be returned by the query
+        :param database: Database instance
+        :return: SQL query with limit clause
+        """
+
+        parsed_query = ParsedQueryTeradata(sql)
+        sql = parsed_query.set_or_update_query_limit_td(limit)
+
+        return sql
+
+
+def limit_not_in_sql(sql: str, limit_words: Set[str]) -> bool:
+    for limit_word in limit_words:
+        if limit_word in sql:
+            return False
+    return True