mirror of https://github.com/apache/superset.git
Add support for Exasol (#8343)
* Add support for Exasol * add time grain functions for Exasol * remove duplicate of * override ExasolEngineSpec's fetch_data method * remove duplicate https * simplify super call
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@ -109,6 +109,7 @@ The following RDBMS are currently suppored:
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- `Apache Spark SQL <https://spark.apache.org/sql/>`_
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- `Apache Spark SQL <https://spark.apache.org/sql/>`_
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- `BigQuery <https://cloud.google.com/bigquery/>`_
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- `BigQuery <https://cloud.google.com/bigquery/>`_
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- `ClickHouse <https://clickhouse.yandex/>`_
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- `ClickHouse <https://clickhouse.yandex/>`_
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- `Exasol <https://www.exasol.com/>`_
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- `Google Sheets <https://www.google.com/sheets/about/>`_
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- `Google Sheets <https://www.google.com/sheets/about/>`_
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- `Greenplum <https://greenplum.org/>`_
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- `Greenplum <https://greenplum.org/>`_
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- `IBM Db2 <https://www.ibm.com/analytics/db2/>`_
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- `IBM Db2 <https://www.ibm.com/analytics/db2/>`_
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@ -377,6 +377,8 @@ Here's a list of some of the recommended packages.
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+------------------+---------------------------------------+-------------------------------------------------+
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+------------------+---------------------------------------+-------------------------------------------------+
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| ClickHouse | ``pip install sqlalchemy-clickhouse`` | |
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| ClickHouse | ``pip install sqlalchemy-clickhouse`` | |
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+------------------+---------------------------------------+-------------------------------------------------+
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+------------------+---------------------------------------+-------------------------------------------------+
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| Exasol | ``pip install sqlalchemy-exasol`` | ``exa+pyodbc://`` |
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+------------------+---------------------------------------+-------------------------------------------------+
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| Google Sheets | ``pip install gsheetsdb`` | ``gsheets://`` |
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| Google Sheets | ``pip install gsheetsdb`` | ``gsheets://`` |
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+------------------+---------------------------------------+-------------------------------------------------+
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+------------------+---------------------------------------+-------------------------------------------------+
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| IBM Db2 | ``pip install ibm_db_sa`` | ``db2+ibm_db://`` |
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| IBM Db2 | ``pip install ibm_db_sa`` | ``db2+ibm_db://`` |
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@ -659,6 +661,25 @@ it in the ``extra`` parameter::
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}
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}
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Exasol
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---------
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The connection string for Exasol looks like this ::
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exa+pyodbc://{user}:{password}@{host}
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*Note*: It's required to have Exasol ODBC drivers installed for the sqlalchemy dialect to work properly. Exasol ODBC Drivers available are here: https://www.exasol.com/portal/display/DOWNLOAD/Exasol+Download+Section
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Example config (odbcinst.ini can be left empty) ::
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$ cat $/.../path/to/odbc.ini
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[EXAODBC]
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DRIVER = /.../path/to/driver/EXASOL_driver.so
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EXAHOST = host:8563
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EXASCHEMA = main
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See `SQLAlchemy for Exasol <https://github.com/blue-yonder/sqlalchemy_exasol>`_.
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CORS
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CORS
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----
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----
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@ -0,0 +1,48 @@
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# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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# pylint: disable=C,R,W
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from typing import List, Tuple
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from superset.db_engine_specs.base import BaseEngineSpec
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class ExasolEngineSpec(BaseEngineSpec):
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"""Engine spec for Exasol"""
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engine = "exa"
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max_column_name_length = 128
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# Exasol's DATE_TRUNC function is PostgresSQL compatible
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_time_grain_functions = {
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None: "{col}",
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"PT1S": "DATE_TRUNC('second', {col})",
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"PT1M": "DATE_TRUNC('minute', {col})",
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"PT1H": "DATE_TRUNC('hour', {col})",
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"P1D": "DATE_TRUNC('day', {col})",
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"P1W": "DATE_TRUNC('week', {col})",
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"P1M": "DATE_TRUNC('month', {col})",
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"P0.25Y": "DATE_TRUNC('quarter', {col})",
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"P1Y": "DATE_TRUNC('year', {col})",
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}
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@classmethod
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def fetch_data(cls, cursor, limit: int) -> List[Tuple]:
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data = super().fetch_data(cursor, limit)
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# Lists of `pyodbc.Row` need to be unpacked further
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if data and type(data[0]).__name__ == "Row":
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data = [[value for value in row] for row in data]
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return data
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