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1 change: 1 addition & 0 deletions docs/index.rst
Original file line number Diff line number Diff line change
Expand Up @@ -123,6 +123,7 @@ The following RDBMS are currently supported:
- `SQL Server <https://www.microsoft.com/en-us/sql-server/>`_
- `Teradata <https://www.teradata.com/>`_
- `Vertica <https://www.vertica.com/>`_
- `Hana <https://www.sap.com/products/hana.html>`_

Other database engines with a proper DB-API driver and SQLAlchemy dialect should
be supported as well.
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12 changes: 12 additions & 0 deletions docs/installation.rst
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Expand Up @@ -404,12 +404,24 @@ Here's a list of some of the recommended packages.
| Vertica | ``pip install | ``vertica+vertica_python://`` |
| | sqlalchemy-vertica-python`` | |
+------------------+---------------------------------------+-------------------------------------------------+
| Hana | ``pip install hdbcli sqlalchemy-hana``| ``hana://`` |
| | or ``pip install superset[hana]`` | |
+------------------+---------------------------------------+-------------------------------------------------+


Note that many other databases are supported, the main criteria being the
existence of a functional SqlAlchemy dialect and Python driver. Googling
the keyword ``sqlalchemy`` in addition of a keyword that describes the
database you want to connect to should get you to the right place.

Hana
------------

The connection string for Hana looks like this ::

hana://{username}:{password}@{host}:{port}


(AWS) Athena
------------

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1 change: 1 addition & 0 deletions setup.py
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Expand Up @@ -117,6 +117,7 @@ def get_git_sha():
"presto": ["pyhive[presto]>=0.4.0"],
"elasticsearch": ["elasticsearch-dbapi>=0.1.0, <0.2.0"],
"druid": ["pydruid==0.5.7", "requests==2.22.0"],
"hana": ["hdbcli==2.4.162", "sqlalchemy_hana==0.4.0"],
},
python_requires="~=3.6",
author="Apache Software Foundation",
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50 changes: 50 additions & 0 deletions superset/db_engine_specs/hana.py
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@@ -0,0 +1,50 @@
# 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.
from datetime import datetime
from typing import Optional

from superset.db_engine_specs.base import LimitMethod
from superset.db_engine_specs.postgres import PostgresBaseEngineSpec


class HanaEngineSpec(PostgresBaseEngineSpec):
engine = "hana"
limit_method = LimitMethod.WRAP_SQL
force_column_alias_quotes = True
max_column_name_length = 30

_time_grain_functions = {
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None: "{col}",
"PT1S": "TO_TIMESTAMP(SUBSTRING(TO_TIMESTAMP({col}),0,20))",
"PT1M": "TO_TIMESTAMP(SUBSTRING(TO_TIMESTAMP({col}),0,17) || '00')",
"PT1H": "TO_TIMESTAMP(SUBSTRING(TO_TIMESTAMP({col}),0,14) || '00:00')",
"P1D": "TO_DATE({col})",
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"P1M": "TO_DATE(SUBSTRING(TO_DATE({col}),0,7)||'-01')",
"P0.25Y": "TO_DATE(SUBSTRING( \
TO_DATE({col}), 0, 5)|| LPAD(CAST((CAST(SUBSTRING(QUARTER( \
TO_DATE({col}), 1), 7, 1) as int)-1)*3 +1 as text),2,'0') ||'-01')",
"P1Y": "TO_DATE(YEAR({col})||'-01-01')",
}

@classmethod
def convert_dttm(cls, target_type: str, dttm: datetime) -> Optional[str]:
tt = target_type.upper()
if tt == "DATE":
return f"TO_DATE('{dttm.date().isoformat()}', 'YYYY-MM-DD')"
if tt == "TIMESTAMP":
return f"""TO_TIMESTAMP('{dttm.isoformat(timespec="microseconds")}', 'YYYY-MM-DD"T"HH24:MI:SS.ff6')""" # pylint: disable=line-too-long
return None