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# 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
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from contextlib import closing
from datetime import datetime
from typing import Any, Optional
from sqlalchemy import create_engine
from airflow.exceptions import AirflowException
from airflow.hooks.base import BaseHook
from airflow.typing_compat import Protocol
[docs]class ConnectorProtocol(Protocol):
"""A protocol where you can connect to a database."""
[docs] def connect(self, host: str, port: int, username: str, schema: str) -> Any:
"""
Connect to a database.
:param host: The database host to connect to.
:param port: The database port to connect to.
:param username: The database username used for the authentication.
:param schema: The database schema to connect to.
:return: the authorized connection object.
"""
#########################################################################################
# #
# Note! Be extra careful when changing this file. This hook is used as a base for #
# a number of DBApi-related hooks and providers depend on the methods implemented #
# here. Whatever you add here, has to backwards compatible unless #
# `>=<Airflow version>` is added to providers' requirements using the new feature #
# #
#########################################################################################
[docs]class DbApiHook(BaseHook):
"""
Abstract base class for sql hooks.
:param schema: Optional DB schema that overrides the schema specified in the connection. Make sure that
if you change the schema parameter value in the constructor of the derived Hook, such change
should be done before calling the ``DBApiHook.__init__()``.
"""
# Override to provide the connection name.
[docs] conn_name_attr = None # type: str
# Override to have a default connection id for a particular dbHook
[docs] default_conn_name = 'default_conn_id'
# Override if this db supports autocommit.
[docs] supports_autocommit = False
# Override with the object that exposes the connect method
[docs] connector = None # type: Optional[ConnectorProtocol]
# Override with db-specific query to check connection
_test_connection_sql = "select 1"
def __init__(self, *args, schema: Optional[str] = None, **kwargs):
super().__init__()
if not self.conn_name_attr:
raise AirflowException("conn_name_attr is not defined")
elif len(args) == 1:
setattr(self, self.conn_name_attr, args[0])
elif self.conn_name_attr not in kwargs:
setattr(self, self.conn_name_attr, self.default_conn_name)
else:
setattr(self, self.conn_name_attr, kwargs[self.conn_name_attr])
# We should not make schema available in deriving hooks for backwards compatibility
# If a hook deriving from DBApiHook has a need to access schema, then it should retrieve it
# from kwargs and store it on its own. We do not run "pop" here as we want to give the
# Hook deriving from the DBApiHook to still have access to the field in it's constructor
self.__schema = schema
[docs] def get_conn(self):
"""Returns a connection object"""
db = self.get_connection(getattr(self, self.conn_name_attr))
return self.connector.connect(host=db.host, port=db.port, username=db.login, schema=db.schema)
[docs] def get_uri(self) -> str:
"""
Extract the URI from the connection.
:return: the extracted uri.
"""
conn = self.get_connection(getattr(self, self.conn_name_attr))
conn.schema = self.__schema or conn.schema
return conn.get_uri()
[docs] def get_sqlalchemy_engine(self, engine_kwargs=None):
"""
Get an sqlalchemy_engine object.
:param engine_kwargs: Kwargs used in :func:`~sqlalchemy.create_engine`.
:return: the created engine.
"""
if engine_kwargs is None:
engine_kwargs = {}
return create_engine(self.get_uri(), **engine_kwargs)
[docs] def get_pandas_df(self, sql, parameters=None, **kwargs):
"""
Executes the sql and returns a pandas dataframe
:param sql: the sql statement to be executed (str) or a list of
sql statements to execute
:param parameters: The parameters to render the SQL query with.
:param kwargs: (optional) passed into pandas.io.sql.read_sql method
"""
try:
from pandas.io import sql as psql
except ImportError:
raise Exception("pandas library not installed, run: pip install 'apache-airflow[pandas]'.")
with closing(self.get_conn()) as conn:
return psql.read_sql(sql, con=conn, params=parameters, **kwargs)
[docs] def get_records(self, sql, parameters=None):
"""
Executes the sql and returns a set of records.
:param sql: the sql statement to be executed (str) or a list of
sql statements to execute
:param parameters: The parameters to render the SQL query with.
"""
with closing(self.get_conn()) as conn:
with closing(conn.cursor()) as cur:
if parameters is not None:
cur.execute(sql, parameters)
else:
cur.execute(sql)
return cur.fetchall()
[docs] def get_first(self, sql, parameters=None):
"""
Executes the sql and returns the first resulting row.
:param sql: the sql statement to be executed (str) or a list of
sql statements to execute
:param parameters: The parameters to render the SQL query with.
"""
with closing(self.get_conn()) as conn:
with closing(conn.cursor()) as cur:
if parameters is not None:
cur.execute(sql, parameters)
else:
cur.execute(sql)
return cur.fetchone()
[docs] def run(self, sql, autocommit=False, parameters=None, handler=None):
"""
Runs a command or a list of commands. Pass a list of sql
statements to the sql parameter to get them to execute
sequentially
:param sql: the sql statement to be executed (str) or a list of
sql statements to execute
:param autocommit: What to set the connection's autocommit setting to
before executing the query.
:param parameters: The parameters to render the SQL query with.
:param handler: The result handler which is called with the result of each statement.
:return: query results if handler was provided.
"""
scalar = isinstance(sql, str)
if scalar:
sql = [sql]
if sql:
self.log.debug("Executing %d statements", len(sql))
else:
raise ValueError("List of SQL statements is empty")
with closing(self.get_conn()) as conn:
if self.supports_autocommit:
self.set_autocommit(conn, autocommit)
with closing(conn.cursor()) as cur:
results = []
for sql_statement in sql:
self._run_command(cur, sql_statement, parameters)
if handler is not None:
result = handler(cur)
results.append(result)
# If autocommit was set to False for db that supports autocommit,
# or if db does not supports autocommit, we do a manual commit.
if not self.get_autocommit(conn):
conn.commit()
if handler is None:
return None
if scalar:
return results[0]
return results
def _run_command(self, cur, sql_statement, parameters):
"""Runs a statement using an already open cursor."""
self.log.info("Running statement: %s, parameters: %s", sql_statement, parameters)
if parameters:
cur.execute(sql_statement, parameters)
else:
cur.execute(sql_statement)
# According to PEP 249, this is -1 when query result is not applicable.
if cur.rowcount >= 0:
self.log.info("Rows affected: %s", cur.rowcount)
[docs] def set_autocommit(self, conn, autocommit):
"""Sets the autocommit flag on the connection"""
if not self.supports_autocommit and autocommit:
self.log.warning(
"%s connection doesn't support autocommit but autocommit activated.",
getattr(self, self.conn_name_attr),
)
conn.autocommit = autocommit
[docs] def get_autocommit(self, conn):
"""
Get autocommit setting for the provided connection.
Return True if conn.autocommit is set to True.
Return False if conn.autocommit is not set or set to False or conn
does not support autocommit.
:param conn: Connection to get autocommit setting from.
:return: connection autocommit setting.
:rtype: bool
"""
return getattr(conn, 'autocommit', False) and self.supports_autocommit
[docs] def get_cursor(self):
"""Returns a cursor"""
return self.get_conn().cursor()
@staticmethod
def _generate_insert_sql(table, values, target_fields, replace, **kwargs):
"""
Static helper method that generates the INSERT SQL statement.
The REPLACE variant is specific to MySQL syntax.
:param table: Name of the target table
:param values: The row to insert into the table
:param target_fields: The names of the columns to fill in the table
:param replace: Whether to replace instead of insert
:return: The generated INSERT or REPLACE SQL statement
:rtype: str
"""
placeholders = [
"%s",
] * len(values)
if target_fields:
target_fields = ", ".join(target_fields)
target_fields = f"({target_fields})"
else:
target_fields = ''
if not replace:
sql = "INSERT INTO "
else:
sql = "REPLACE INTO "
sql += f"{table} {target_fields} VALUES ({','.join(placeholders)})"
return sql
[docs] def insert_rows(self, table, rows, target_fields=None, commit_every=1000, replace=False, **kwargs):
"""
A generic way to insert a set of tuples into a table,
a new transaction is created every commit_every rows
:param table: Name of the target table
:param rows: The rows to insert into the table
:param target_fields: The names of the columns to fill in the table
:param commit_every: The maximum number of rows to insert in one
transaction. Set to 0 to insert all rows in one transaction.
:param replace: Whether to replace instead of insert
"""
i = 0
with closing(self.get_conn()) as conn:
if self.supports_autocommit:
self.set_autocommit(conn, False)
conn.commit()
with closing(conn.cursor()) as cur:
for i, row in enumerate(rows, 1):
lst = []
for cell in row:
lst.append(self._serialize_cell(cell, conn))
values = tuple(lst)
sql = self._generate_insert_sql(table, values, target_fields, replace, **kwargs)
self.log.debug("Generated sql: %s", sql)
cur.execute(sql, values)
if commit_every and i % commit_every == 0:
conn.commit()
self.log.info("Loaded %s rows into %s so far", i, table)
conn.commit()
self.log.info("Done loading. Loaded a total of %s rows", i)
@staticmethod
def _serialize_cell(cell, conn=None):
"""
Returns the SQL literal of the cell as a string.
:param cell: The cell to insert into the table
:param conn: The database connection
:return: The serialized cell
:rtype: str
"""
if cell is None:
return None
if isinstance(cell, datetime):
return cell.isoformat()
return str(cell)
[docs] def bulk_dump(self, table, tmp_file):
"""
Dumps a database table into a tab-delimited file
:param table: The name of the source table
:param tmp_file: The path of the target file
"""
raise NotImplementedError()
[docs] def bulk_load(self, table, tmp_file):
"""
Loads a tab-delimited file into a database table
:param table: The name of the target table
:param tmp_file: The path of the file to load into the table
"""
raise NotImplementedError()
[docs] def test_connection(self):
"""Tests the connection using db-specific query"""
status, message = False, ''
try:
if self.get_first(self._test_connection_sql):
status = True
message = 'Connection successfully tested'
except Exception as e:
status = False
message = str(e)
return status, message
