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[Feature] Add Apache doris 1.2+ Database connector
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一帆 committed Dec 7, 2023
1 parent 01ccb22 commit 6c86df3
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -196,7 +196,7 @@ The core capabilities primarily consist of the following components:
- [ ] Redis
- [ ] MongoDB
- [ ] HBase
- [ ] Doris
- [x] Doris
- [ ] DB2
- [ ] Couchbase
- [ ] Elasticsearch
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2 changes: 1 addition & 1 deletion README.zh.md
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Expand Up @@ -229,7 +229,7 @@ The MIT License (MIT)
- [ ] Redis
- [ ] MongoDB
- [ ] HBase
- [ ] Doris
- [x] Doris
- [ ] DB2
- [ ] Couchbase
- [ ] Elasticsearch
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40 changes: 20 additions & 20 deletions docs/docs/modules/connections.md
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Expand Up @@ -3,23 +3,23 @@ The connections module supports connecting to various structured, semi-structure

The list of data sources we currently support is as follows.

| DataSource | support | Notes |
| ------------------------------------------------------------------------------ | ----------- | ------------------------------------------- |
| [MySQL](https://www.mysql.com/) | Yes | MySQL is the world's most popular open source database. |
| [PostgresSQL](https://www.postgresql.org/) | Yes | The World's Most Advanced Open Source Relational Database |
| [Spark](https://github.com/apache/spark) | Yes | Unified Engine for large-scale data analytics |
| [DuckDB](https://github.com/duckdb/duckdb) | Yes | DuckDB is an in-process SQL OLAP database management system |
| [Sqlite](https://github.com/sqlite/sqlite) | Yes | |
| [MSSQL](https://github.com/microsoft/mssql-jdbc) | Yes | |
| [ClickHouse](https://github.com/ClickHouse/ClickHouse) | Yes | ClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics. |
| [Oracle](https://github.com/oracle) | No | TODO |
| [Redis](https://github.com/redis/redis) | No | The Multi-model NoSQL Database |
| [MongoDB](https://github.com/mongodb/mongo) | No | MongoDB is a source-available cross-platform document-oriented database program |
| [HBase](https://github.com/apache/hbase) | No | Open-source, distributed, versioned, column-oriented store modeled |
| [Doris](https://github.com/apache/doris) | No | Apache Doris is an easy-to-use, high performance and unified analytics database. |
| [DB2](https://github.com/IBM/Db2) | No | TODO |
| [Couchbase](https://github.com/couchbase) | No | TODO |
| [Elasticsearch](https://github.com/elastic/elasticsearch) | No | Free and Open, Distributed, RESTful Search Engine |
| [OceanBase](https://github.com/OceanBase) | No | OceanBase is a distributed relational database. |
| [TiDB](https://github.com/pingcap/tidb) | No | TODO |
| [StarRocks](https://github.com/StarRocks/starrocks) | Yes | StarRocks is a next-gen, high-performance analytical data warehouse |
| DataSource | support | Notes |
| ------------------------------------------------------------------------------ |---------| ------------------------------------------- |
| [MySQL](https://www.mysql.com/) | Yes | MySQL is the world's most popular open source database. |
| [PostgresSQL](https://www.postgresql.org/) | Yes | The World's Most Advanced Open Source Relational Database |
| [Spark](https://github.com/apache/spark) | Yes | Unified Engine for large-scale data analytics |
| [DuckDB](https://github.com/duckdb/duckdb) | Yes | DuckDB is an in-process SQL OLAP database management system |
| [Sqlite](https://github.com/sqlite/sqlite) | Yes | |
| [MSSQL](https://github.com/microsoft/mssql-jdbc) | Yes | |
| [ClickHouse](https://github.com/ClickHouse/ClickHouse) | Yes | ClickHouse is the fastest and most resource efficient open-source database for real-time apps and analytics. |
| [Oracle](https://github.com/oracle) | No | TODO |
| [Redis](https://github.com/redis/redis) | No | The Multi-model NoSQL Database |
| [MongoDB](https://github.com/mongodb/mongo) | No | MongoDB is a source-available cross-platform document-oriented database program |
| [HBase](https://github.com/apache/hbase) | No | Open-source, distributed, versioned, column-oriented store modeled |
| [Doris](https://github.com/apache/doris) | Yes | Apache Doris is an easy-to-use, high performance and unified analytics database. |
| [DB2](https://github.com/IBM/Db2) | No | TODO |
| [Couchbase](https://github.com/couchbase) | No | TODO |
| [Elasticsearch](https://github.com/elastic/elasticsearch) | No | Free and Open, Distributed, RESTful Search Engine |
| [OceanBase](https://github.com/OceanBase) | No | OceanBase is a distributed relational database. |
| [TiDB](https://github.com/pingcap/tidb) | No | TODO |
| [StarRocks](https://github.com/StarRocks/starrocks) | Yes | StarRocks is a next-gen, high-performance analytical data warehouse |
1 change: 1 addition & 0 deletions pilot/common/schema.py
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Expand Up @@ -31,6 +31,7 @@ class DBType(Enum):
Clickhouse = DbInfo("clickhouse")
StarRocks = DbInfo("starrocks")
Spark = DbInfo("spark", True)
Doris = DbInfo("doris")

def value(self):
return self._value_.name
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1 change: 1 addition & 0 deletions pilot/connections/manages/connection_manager.py
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Expand Up @@ -19,6 +19,7 @@
from pilot.connections.rdbms.conn_clickhouse import ClickhouseConnect
from pilot.connections.rdbms.conn_postgresql import PostgreSQLDatabase
from pilot.connections.rdbms.conn_starrocks import StarRocksConnect
from pilot.connections.rdbms.conn_doris import DorisConnect
from pilot.singleton import Singleton
from pilot.common.sql_database import Database
from pilot.connections.db_conn_info import DBConfig
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158 changes: 158 additions & 0 deletions pilot/connections/rdbms/conn_doris.py
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@@ -0,0 +1,158 @@
from typing import Iterable, Optional, Any
from sqlalchemy import text
from urllib.parse import quote
from pilot.connections.rdbms.base import RDBMSDatabase


class DorisConnect(RDBMSDatabase):
driver = "doris"
db_type = "doris"
db_dialect = "doris"

@classmethod
def from_uri_db(
cls,
host: str,
port: int,
user: str,
pwd: str,
db_name: str,
engine_args: Optional[dict] = None,
**kwargs: Any,
) -> RDBMSDatabase:
db_url: str = (
f"{cls.driver}://{quote(user)}:{quote(pwd)}@{host}:{str(port)}/{db_name}"
)
return cls.from_uri(db_url, engine_args, **kwargs)

def _sync_tables_from_db(self) -> Iterable[str]:
table_results = self.get_session().execute(
text(
f"SELECT TABLE_NAME FROM information_schema.tables where TABLE_SCHEMA=database()"
)
)
table_results = set(row[0] for row in table_results)
self._all_tables = table_results
self._metadata.reflect(bind=self._engine)
return self._all_tables

def get_grants(self):
cursor = self.get_session().execute(text("SHOW GRANTS"))
grants = cursor.fetchall()
if len(grants) == 0:
return []
if len(grants[0]) == 2:
grants_list = [x[1] for x in grants]
else:
grants_list = [x[2] for x in grants]
return grants_list

def _get_current_version(self):
"""Get database current version"""
return int(
self.get_session().execute(text("select current_version()")).scalar()
)

def get_collation(self):
"""Get collation.
ref: https://doris.apache.org/zh-CN/docs/dev/sql-manual/sql-reference/Show-Statements/SHOW-COLLATION/
"""
cursor = self.get_session().execute(text("SHOW COLLATION"))
results = cursor.fetchall()
return "" if not results else results[0][0]

def get_users(self):
"""Get user info."""
return []

def get_fields(self, table_name):
"""Get column fields about specified table."""
cursor = self.get_session().execute(
text(
f"select COLUMN_NAME, COLUMN_TYPE, COLUMN_DEFAULT, IS_NULLABLE, COLUMN_COMMENT "
f"from information_schema.columns "
f'where TABLE_NAME="{table_name}" and TABLE_SCHEMA=database()'
)
)
fields = cursor.fetchall()
return [(field[0], field[1], field[2], field[3], field[4]) for field in fields]

def get_charset(self):
"""Get character_set."""
return "utf-8"

def get_show_create_table(self, table_name):
# cur = self.get_session().execute(
# text(
# f"""show create table {table_name}"""
# )
# )
# rows = cur.fetchone()
# create_sql = rows[1]
# return create_sql
# 这里是要表描述, 返回建表语句会导致token过长而失败
cur = self.get_session().execute(
text(
f"SELECT TABLE_COMMENT "
f"FROM information_schema.tables "
f'where TABLE_NAME="{table_name}" and TABLE_SCHEMA=database()'
)
)
table = cur.fetchone()
if table:
return str(table[0])
else:
return ""

def get_table_comments(self, db_name=None):
db_name = "database()" if not db_name else f"'{db_name}'"
cursor = self.get_session().execute(
text(
f"SELECT TABLE_NAME,TABLE_COMMENT "
f"FROM information_schema.tables "
f"where TABLE_SCHEMA={db_name}"
)
)
tables = cursor.fetchall()
return [(table[0], table[1]) for table in tables]

def get_database_list(self):
return self.get_database_names()

def get_database_names(self):
cursor = self.get_session().execute(text("SHOW DATABASES"))
results = cursor.fetchall()
return [
d[0]
for d in results
if d[0]
not in [
"information_schema",
"sys",
"_statistics_",
"mysql",
"__internal_schema",
"doris_audit_db__",
]
]

def get_current_db_name(self) -> str:
return self.get_session().execute(text("select database()")).scalar()

def table_simple_info(self):
cursor = self.get_session().execute(
text(
f"SELECT concat(TABLE_NAME,'(',group_concat(COLUMN_NAME,','),');') "
f"FROM information_schema.columns "
f"where TABLE_SCHEMA=database() "
f"GROUP BY TABLE_NAME"
)
)
results = cursor.fetchall()
return [x[0] for x in results]

def get_indexes(self, table_name):
"""Get table indexes about specified table."""
cursor = self.get_session().execute(text(f"SHOW INDEX FROM {table_name}"))
indexes = cursor.fetchall()
return [(index[2], index[4]) for index in indexes]
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5 changes: 4 additions & 1 deletion setup.py
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Expand Up @@ -375,7 +375,10 @@ def core_requires():
"auto-gpt-plugin-template",
"gTTS==2.3.1",
"langchain>=0.0.286",
"SQLAlchemy==2.0.22",
# 从固定==2.0.22改动到可变版本是发现其余dependencies都是>=1.4,同时如pydoris是<2
"SQLAlchemy>=1.4,<3",
# for doris
"pydoris>=1.0.2,<2.0.0",
"fastapi==0.98.0",
"pymysql",
"duckdb==0.8.1",
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