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georgia-tech-db / eva / #725

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#725

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chore: reducing coverage loss (#619)

* adding delete operation

* Adding Insert Statement

* checkpoint

* supporting multiple entries

* implemented for structured data error

* adding parser visitor for delete

* delete executor

* delete plan and rules

* adding delete to plan executor

* change position of LogicalDelete

* logical delimeter

* delete test case

* adding test case

* adding test case

* adding delete testcase

* adding predicate to delete executor

* adding delete to Image storage

* bug fix in delete

* fixing testcase

* adding test case for insert statement

* remove order_by from statement_binder.py

* better variable names, using Batch

* error message for insert

* removing order_by and limit from delete

* remove order_by and limit

* use f-string

* adding to changelog

* removing commit messages

* formatting

* fixing comments

* formatting

* eva insert f32 values

* fix: should delete range

* delete multiple rows

* udf bootstrap

* try to run tests in parallel

* minor fix for ray to work

* ray fixes

---------

Co-authored-by: Aryan-Rajoria <aryanrajoria1003@gmail.com>
Co-authored-by: Gaurav <gaurav21776@gmail.com>

236 of 236 new or added lines in 53 files covered. (100.0%)

7003 of 9005 relevant lines covered (77.77%)

0.78 hits per line

Source File
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71.11
/eva/executor/create_udf_executor.py
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# coding=utf-8
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# Copyright 2018-2022 EVA
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# 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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import pandas as pd
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from eva.catalog.catalog_manager import CatalogManager
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from eva.executor.abstract_executor import AbstractExecutor
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from eva.models.storage.batch import Batch
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from eva.plan_nodes.create_udf_plan import CreateUDFPlan
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from eva.udfs.decorators.utils import load_io_from_udf_decorators
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from eva.utils.errors import UDFIODefinitionError
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from eva.utils.generic_utils import load_udf_class_from_file
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from eva.utils.logging_manager import logger
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class CreateUDFExecutor(AbstractExecutor):
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    def __init__(self, node: CreateUDFPlan):
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        super().__init__(node)
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    def exec(self, *args, **kwargs):
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        """Create udf executor
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        Calls the catalog to insert a udf catalog entry.
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        """
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        catalog_manager = CatalogManager()
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        # check catalog if it already has this udf entry
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        if catalog_manager.get_udf_catalog_entry_by_name(self.node.name):
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            if self.node.if_not_exists:
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                msg = f"UDF {self.node.name} already exists, nothing added."
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                logger.warn(msg)
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                yield Batch(pd.DataFrame([msg]))
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                return
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            else:
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                msg = f"UDF {self.node.name} already exists."
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                logger.error(msg)
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                raise RuntimeError(msg)
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        # load the udf class from the file
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        impl_path = self.node.impl_path.absolute().as_posix()
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        try:
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            # loading the udf class from the file
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            udf = load_udf_class_from_file(impl_path, self.node.name)
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            # initializing the udf class calls the setup method internally
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            udf()
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        except Exception as e:
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            err_msg = f"Error creating UDF: {str(e)}"
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            logger.error(err_msg)
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            raise RuntimeError(err_msg)
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        io_list = []
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        try:
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            if self.node.inputs:
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                io_list.extend(self.node.inputs)
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            else:
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                # try to load the inputs from decorators, the inputs from CREATE statement take precedence
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                io_list.extend(load_io_from_udf_decorators(udf, is_input=True))
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            if self.node.outputs:
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                io_list.extend(self.node.outputs)
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            else:
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                # try to load the outputs from decorators, the outputs from CREATE statement take precedence
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                io_list.extend(load_io_from_udf_decorators(udf, is_input=False))
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        except UDFIODefinitionError as e:
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            err_msg = f"Error creating UDF, input/output definition incorrect: {str(e)}"
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            logger.error(err_msg)
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            raise RuntimeError(err_msg)
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        catalog_manager.insert_udf_catalog_entry(
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            self.node.name, impl_path, self.node.udf_type, io_list, self.node.metadata
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        )
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        yield Batch(
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            pd.DataFrame([f"UDF {self.node.name} successfully added to the database."])
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        )
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