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341 lines
12 KiB
Python
341 lines
12 KiB
Python
# 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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from typing import Any, Dict, List, Optional
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from flask_appbuilder.api import expose, protect, safe
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from flask_appbuilder.models.sqla.interface import SQLAInterface
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from sqlalchemy.exc import NoSuchTableError, SQLAlchemyError
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from superset import event_logger
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from superset.models.core import Database
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from superset.typing import FlaskResponse
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from superset.utils.core import error_msg_from_exception
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from superset.views.base_api import BaseSupersetModelRestApi
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from superset.views.database.decorators import check_datasource_access
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from superset.views.database.filters import DatabaseFilter
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from superset.views.database.mixins import DatabaseMixin
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from superset.views.database.validators import sqlalchemy_uri_validator
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def get_foreign_keys_metadata(
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database: Database, table_name: str, schema_name: Optional[str]
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) -> List[Dict[str, Any]]:
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foreign_keys = database.get_foreign_keys(table_name, schema_name)
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for fk in foreign_keys:
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fk["column_names"] = fk.pop("constrained_columns")
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fk["type"] = "fk"
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return foreign_keys
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def get_indexes_metadata(
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database: Database, table_name: str, schema_name: Optional[str]
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) -> List[Dict[str, Any]]:
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indexes = database.get_indexes(table_name, schema_name)
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for idx in indexes:
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idx["type"] = "index"
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return indexes
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def get_col_type(col: Dict[Any, Any]) -> str:
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try:
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dtype = f"{col['type']}"
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except Exception: # pylint: disable=broad-except
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# sqla.types.JSON __str__ has a bug, so using __class__.
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dtype = col["type"].__class__.__name__
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return dtype
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def get_table_metadata(
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database: Database, table_name: str, schema_name: Optional[str]
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) -> Dict[str, Any]:
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"""
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Get table metadata information, including type, pk, fks.
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This function raises SQLAlchemyError when a schema is not found.
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:param database: The database model
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:param table_name: Table name
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:param schema_name: schema name
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:return: Dict table metadata ready for API response
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"""
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keys = []
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columns = database.get_columns(table_name, schema_name)
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primary_key = database.get_pk_constraint(table_name, schema_name)
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if primary_key and primary_key.get("constrained_columns"):
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primary_key["column_names"] = primary_key.pop("constrained_columns")
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primary_key["type"] = "pk"
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keys += [primary_key]
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foreign_keys = get_foreign_keys_metadata(database, table_name, schema_name)
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indexes = get_indexes_metadata(database, table_name, schema_name)
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keys += foreign_keys + indexes
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payload_columns: List[Dict[str, Any]] = []
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for col in columns:
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dtype = get_col_type(col)
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payload_columns.append(
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{
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"name": col["name"],
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"type": dtype.split("(")[0] if "(" in dtype else dtype,
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"longType": dtype,
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"keys": [k for k in keys if col["name"] in k["column_names"]],
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}
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)
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return {
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"name": table_name,
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"columns": payload_columns,
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"selectStar": database.select_star(
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table_name,
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schema=schema_name,
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show_cols=True,
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indent=True,
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cols=columns,
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latest_partition=True,
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),
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"primaryKey": primary_key,
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"foreignKeys": foreign_keys,
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"indexes": keys,
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}
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class DatabaseRestApi(DatabaseMixin, BaseSupersetModelRestApi):
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datamodel = SQLAInterface(Database)
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include_route_methods = {"get_list", "table_metadata", "select_star"}
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class_permission_name = "DatabaseView"
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method_permission_name = {
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"get_list": "list",
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"table_metadata": "list",
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"select_star": "list",
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}
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resource_name = "database"
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allow_browser_login = True
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base_filters = [["id", DatabaseFilter, lambda: []]]
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list_columns = [
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"id",
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"database_name",
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"expose_in_sqllab",
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"allow_ctas",
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"force_ctas_schema",
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"allow_run_async",
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"allow_dml",
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"allow_multi_schema_metadata_fetch",
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"allow_csv_upload",
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"allows_subquery",
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"allows_cost_estimate",
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"backend",
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"function_names",
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]
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show_columns = list_columns
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# Removes the local limit for the page size
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max_page_size = -1
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validators_columns = {"sqlalchemy_uri": sqlalchemy_uri_validator}
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openapi_spec_tag = "Database"
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@expose("/<int:pk>/table/<table_name>/<schema_name>/", methods=["GET"])
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@protect()
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@check_datasource_access
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@safe
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@event_logger.log_this
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def table_metadata(
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self, database: Database, table_name: str, schema_name: str
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) -> FlaskResponse:
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""" Table schema info
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---
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get:
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description: Get database table metadata
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parameters:
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- in: path
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schema:
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type: integer
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name: pk
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description: The database id
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- in: path
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schema:
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type: string
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name: table_name
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description: Table name
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- in: path
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schema:
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type: string
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name: schema_name
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description: Table schema
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responses:
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200:
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description: Table schema info
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content:
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text/plain:
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schema:
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type: object
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properties:
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columns:
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type: array
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description: Table columns info
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items:
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type: object
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properties:
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keys:
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type: array
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items:
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type: string
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longType:
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type: string
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name:
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type: string
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type:
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type: string
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foreignKeys:
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type: array
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description: Table list of foreign keys
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items:
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type: object
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properties:
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column_names:
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type: array
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items:
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type: string
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name:
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type: string
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options:
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type: object
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referred_columns:
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type: array
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items:
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type: string
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referred_schema:
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type: string
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referred_table:
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type: string
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type:
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type: string
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indexes:
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type: array
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description: Table list of indexes
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items:
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type: object
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properties:
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column_names:
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type: array
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items:
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type: string
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name:
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type: string
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options:
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type: object
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referred_columns:
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type: array
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items:
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type: string
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referred_schema:
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type: string
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referred_table:
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type: string
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type:
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type: string
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primaryKey:
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type: object
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properties:
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column_names:
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type: array
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items:
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type: string
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name:
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type: string
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type:
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type: string
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400:
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$ref: '#/components/responses/400'
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401:
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$ref: '#/components/responses/401'
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404:
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$ref: '#/components/responses/404'
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422:
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$ref: '#/components/responses/422'
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500:
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$ref: '#/components/responses/500'
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"""
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self.incr_stats("init", self.table_metadata.__name__)
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try:
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table_info = get_table_metadata(database, table_name, schema_name)
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except SQLAlchemyError as ex:
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self.incr_stats("error", self.table_metadata.__name__)
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return self.response_422(error_msg_from_exception(ex))
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self.incr_stats("success", self.table_metadata.__name__)
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return self.response(200, **table_info)
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@expose("/<int:pk>/select_star/<table_name>/", methods=["GET"])
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@expose("/<int:pk>/select_star/<table_name>/<schema_name>/", methods=["GET"])
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@protect()
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@check_datasource_access
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@safe
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@event_logger.log_this
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def select_star(
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self, database: Database, table_name: str, schema_name: Optional[str] = None
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) -> FlaskResponse:
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""" Table schema info
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---
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get:
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description: Get database select star for table
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parameters:
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- in: path
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schema:
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type: integer
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name: pk
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description: The database id
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- in: path
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schema:
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type: string
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name: table_name
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description: Table name
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- in: path
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schema:
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type: string
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name: schema_name
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description: Table schema
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responses:
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200:
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description: select star for table
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content:
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text/plain:
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schema:
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type: object
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properties:
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result:
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type: string
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description: SQL select star
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400:
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$ref: '#/components/responses/400'
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401:
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$ref: '#/components/responses/401'
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404:
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$ref: '#/components/responses/404'
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422:
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$ref: '#/components/responses/422'
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500:
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$ref: '#/components/responses/500'
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"""
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self.incr_stats("init", self.select_star.__name__)
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try:
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result = database.select_star(
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table_name, schema_name, latest_partition=True, show_cols=True
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)
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except NoSuchTableError:
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self.incr_stats("error", self.select_star.__name__)
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return self.response(404, message="Table not found on the database")
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self.incr_stats("success", self.select_star.__name__)
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return self.response(200, result=result)
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