#832

Committed 12 Oct 2023 08:31AM UTC coverage: 0.0% (-68.5%) from 68.493%

Build # #832

Build Type

push

circle-ci

Committed by

xzdandy

Commit Message

Minor

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/evadb/executor/create_executor.py

# coding=utf-8
# Copyright 2018-2023 EvaDB
#
# Licensed 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.
import contextlib

import pandas as pd

from evadb.database import EvaDBDatabase
from evadb.executor.abstract_executor import AbstractExecutor
from evadb.executor.executor_utils import (
    create_table_catalog_entry_for_native_table,
    handle_if_not_exists,
)
from evadb.models.storage.batch import Batch
from evadb.plan_nodes.create_plan import CreatePlan
from evadb.storage.storage_engine import StorageEngine
from evadb.utils.errors import CatalogError
from evadb.utils.logging_manager import logger


class CreateExecutor(AbstractExecutor):
    def __init__(self, db: EvaDBDatabase, node: CreatePlan):
        super().__init__(db, node)

    def exec(self, *args, **kwargs):
        # create a table in the active database if set
        is_native_table = self.node.table_info.database_name is not None

        check_if_exists = handle_if_not_exists(
            self.catalog(), self.node.table_info, self.node.if_not_exists
        )
        name = self.node.table_info.table_name
        if check_if_exists:
            yield Batch(pd.DataFrame([f"Table {name} already exists"]))
            return

        create_table_done = False
        logger.debug(f"Creating table {self.node.table_info}")

        if not is_native_table:
            catalog_entry = self.catalog().create_and_insert_table_catalog_entry(
                self.node.table_info, self.node.column_list
            )
        else:
            catalog_entry = create_table_catalog_entry_for_native_table(
                self.node.table_info, self.node.column_list
            )
        storage_engine = StorageEngine.factory(self.db, catalog_entry)

        try:
            storage_engine.create(table=catalog_entry)
            create_table_done = True

            msg = f"The table {name} has been successfully created"
            if self.children != []:
                assert (
                    len(self.children) == 1
                ), "Create table from query expects 1 child, finds {}".format(
                    len(self.children)
                )
                child = self.children[0]

                rows = 0
                # Populate the table
                for batch in child.exec():
                    batch.drop_column_alias()
                    storage_engine.write(catalog_entry, batch)
                    rows += len(batch)

                msg = (
                    f"The table {name} has been successfully created with {rows} rows."
                )

            yield Batch(pd.DataFrame([msg]))
        except Exception as e:
            # rollback if the create call fails
            with contextlib.suppress(CatalogError):
                if create_table_done:
                    storage_engine.drop(catalog_entry)
            # rollback catalog entry, suppress any errors raised by catalog
            with contextlib.suppress(CatalogError):
                self.catalog().delete_table_catalog_entry(catalog_entry)
            raise e

1	# coding=utf-8
2	# Copyright 2018-2023 EvaDB
3	#
4	# Licensed under the Apache License, Version 2.0 (the "License");
5	# you may not use this file except in compliance with the License.
6	# You may obtain a copy of the License at
7	#
8	# http://www.apache.org/licenses/LICENSE-2.0
9	#
10	# Unless required by applicable law or agreed to in writing, software
11	# distributed under the License is distributed on an "AS IS" BASIS,
12	# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
13	# See the License for the specific language governing permissions and
14	# limitations under the License.
15	import contextlib	×
16
17	import pandas as pd	×
18
19	from evadb.database import EvaDBDatabase	×
20	from evadb.executor.abstract_executor import AbstractExecutor	×
21	from evadb.executor.executor_utils import (	×
22	create_table_catalog_entry_for_native_table,
23	handle_if_not_exists,
24	)
25	from evadb.models.storage.batch import Batch	×
26	from evadb.plan_nodes.create_plan import CreatePlan	×
27	from evadb.storage.storage_engine import StorageEngine	×
28	from evadb.utils.errors import CatalogError	×
29	from evadb.utils.logging_manager import logger	×
30
31
32	class CreateExecutor(AbstractExecutor):	×
33	def __init__(self, db: EvaDBDatabase, node: CreatePlan):	×
34	super().__init__(db, node)	×
35
36	def exec(self, args, *kwargs):	×
37	# create a table in the active database if set
38	is_native_table = self.node.table_info.database_name is not None	×
39
40	check_if_exists = handle_if_not_exists(	×
41	self.catalog(), self.node.table_info, self.node.if_not_exists
42	)
43	name = self.node.table_info.table_name	×
44	if check_if_exists:	×
45	yield Batch(pd.DataFrame([f"Table {name} already exists"]))	×
46	return	×
47
48	create_table_done = False	×
49	logger.debug(f"Creating table {self.node.table_info}")	×
50
51	if not is_native_table:	×
52	catalog_entry = self.catalog().create_and_insert_table_catalog_entry(	×
53	self.node.table_info, self.node.column_list
54	)
55	else:
56	catalog_entry = create_table_catalog_entry_for_native_table(	×
57	self.node.table_info, self.node.column_list
58	)
59	storage_engine = StorageEngine.factory(self.db, catalog_entry)	×
60
61	try:	×
62	storage_engine.create(table=catalog_entry)	×
63	create_table_done = True	×
64
65	msg = f"The table {name} has been successfully created"	×
66	if self.children != []:	×
67	assert (	×
68	len(self.children) == 1
69	), "Create table from query expects 1 child, finds {}".format(
70	len(self.children)
71	)
72	child = self.children[0]	×
73
74	rows = 0	×
75	# Populate the table
76	for batch in child.exec():	×
77	batch.drop_column_alias()	×
78	storage_engine.write(catalog_entry, batch)	×
79	rows += len(batch)	×
80
81	msg = (	×
82	f"The table {name} has been successfully created with {rows} rows."
83	)
84
85	yield Batch(pd.DataFrame([msg]))	×
86	except Exception as e:
87	# rollback if the create call fails
88	with contextlib.suppress(CatalogError):
89	if create_table_done:
90	storage_engine.drop(catalog_entry)
91	# rollback catalog entry, suppress any errors raised by catalog
92	with contextlib.suppress(CatalogError):
93	self.catalog().delete_table_catalog_entry(catalog_entry)
94	raise e

georgia-tech-db / eva / #832

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