Load CSV #592
Load CSV #592
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WalkthroughThe recent updates introduce the Changes
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Review Status
Actionable comments generated: 0
Configuration used: CodeRabbit UI
Files selected for processing (8)
- src/ast/ast_validations.c (3 hunks)
- src/errors/error_msgs.h (4 hunks)
- src/errors/errors.c (1 hunks)
- src/execution_plan/execution_plan_build/execution_plan_construct.c (2 hunks)
- src/execution_plan/ops/op.h (2 hunks)
- src/execution_plan/ops/op_load_csv.c (1 hunks)
- src/execution_plan/ops/op_load_csv.h (1 hunks)
- src/execution_plan/ops/ops.h (1 hunks)
Additional comments: 19
src/execution_plan/ops/op_load_csv.h (2)
- 11-22: The structure definition for
OpLoadCSVis well-designed, encapsulating all necessary information for loading CSV data within the execution plan. Good use of data types and clear naming conventions.- 24-31: The function
NewLoadCSVOpis well-defined, with clear parameters and purpose. It provides a straightforward way to create a new load CSV operation within an execution plan.src/execution_plan/ops/ops.h (1)
- 26-26: The inclusion of
"op_load_csv.h"integrates the new load CSV operation into the execution plan operations framework. The placement is appropriate and ensures the operation is available for use.src/errors/errors.c (2)
- 168-168: The update in error messages to reference FalkorDB instead of RedisGraph is appropriate and aligns with the system's rebranding or updates. This change ensures error messages are accurate and relevant.
- 174-174: The update in error messages to reference FalkorDB instead of RedisGraph is appropriate and aligns with the system's rebranding or updates. This change ensures error messages are accurate and relevant.
src/execution_plan/ops/op.h (2)
- 58-58: The addition of
OPType_LOAD_CSVto theOPTypeenum is necessary for supporting the new load CSV functionality. This change is well-integrated into the existing operation types framework.- 208-209: Renaming the parameter in
OpBase_GetChildfromjointoopimproves clarity and consistency with the rest of the codebase. This change makes the function's purpose and usage more intuitive.src/execution_plan/ops/op_load_csv.c (2)
- 29-33: The dynamic evaluation of the CSV path and appropriate error handling when the path does not evaluate to a string are well-implemented. This ensures robustness and user-friendly error reporting.
- 52-63: The use of mock data for CSV rows is a useful approach for demonstration or testing purposes. It's important to ensure that this mock behavior is clearly documented or flagged to avoid confusion in a production environment.
src/errors/error_msgs.h (6)
- 22-22: Updating the error message to reference FalkorDB instead of RedisGraph is appropriate and aligns with the system's rebranding or updates. This ensures error messages are accurate and relevant.
- 23-23: Updating the error message to reference FalkorDB instead of RedisGraph is appropriate and aligns with the system's rebranding or updates. This ensures error messages are accurate and relevant.
- 68-68: Updating the error message to reference FalkorDB instead of RedisGraph is appropriate and aligns with the system's rebranding or updates. This ensures error messages are accurate and relevant.
- 78-78: Updating the error message to reference FalkorDB instead of RedisGraph is appropriate and aligns with the system's rebranding or updates. This ensures error messages are accurate and relevant.
- 79-79: Updating the error message to reference FalkorDB instead of RedisGraph is appropriate and aligns with the system's rebranding or updates. This ensures error messages are accurate and relevant.
- 90-90: Updating the error message to reference FalkorDB instead of RedisGraph is appropriate and aligns with the system's rebranding or updates. This ensures error messages are accurate and relevant.
src/execution_plan/execution_plan_build/execution_plan_construct.c (3)
- 178-179: Good use of assertions to ensure that both
planandclauseare not NULL before proceeding with the function logic. This helps in early detection of potential issues.- 183-192: The extraction of information from the AST, including the presence of headers, the URI of the CSV file, and the alias, is clear and straightforward. This ensures that all necessary data is available for the creation of the
LoadCSVOp.- 194-195: The creation of the
LoadCSVOpoperation and updating the execution plan's root with this operation is correctly implemented. This integrates theLOAD CSVfunctionality into the execution plan.src/ast/ast_validations.c (1)
- 507-522: The function
_Validate_load_csvcorrectly adds the identifier from theLOAD CSVclause to the validation context, ensuring that it is recognized as a defined identifier in subsequent validations. This is crucial for maintaining the scope and ensuring that identifiers introduced byLOAD CSVare properly handled in the query.
tests/flow/test_load_csv.py
Outdated
| class testLoadCSV(): | ||
| def __init__(self): | ||
| self.env, self.db = Env() | ||
| self.graph = self.db.select_graph(GRAPH_ID) | ||
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| def test01_invalid_call(self): | ||
| queries = ["LOAD CSV FROM a AS row RETURN row", | ||
| "LOAD CSV FROM 2 AS row RETURN row", | ||
| "LOAD CSV FROM $arr AS row RETURN row", | ||
| "WITH 2 AS x LOAD CSV FROM x AS row RETURN row"] | ||
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| for q in queries: | ||
| try: | ||
| self.graph.query(q, {'arr': []}) | ||
| self.env.assertFalse(True) | ||
| except Exception as e: | ||
| self.env.assertEquals(str(e), "path to CSV must be a string") | ||
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| def test02_project_csv_rows(self): | ||
| # project all rows in a CSV file | ||
| q = """LOAD CSV FROM 'data.csv' AS row | ||
| RETURN row""" | ||
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| result = self.graph.query(q).result_set | ||
| self.env.assertEquals(result[0][0], ['AAA', 'BB', 'C']) | ||
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| def test03_load_csv_multiple_times(self): | ||
| # project the same CSV multiple times | ||
| q = """UNWIND [1,2,3] AS x | ||
| LOAD CSV FROM 'data.csv' AS row | ||
| RETURN x, row | ||
| ORDER BY x""" | ||
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| result = self.graph.query(q).result_set | ||
| self.env.assertEquals(result[0], [1, ['AAA', 'BB', 'C']]) | ||
| self.env.assertEquals(result[1], [2, ['AAA', 'BB', 'C']]) | ||
| self.env.assertEquals(result[2], [3, ['AAA', 'BB', 'C']]) | ||
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| def test04_dynamic_csv_path(self): | ||
| # project all rows in a CSV file | ||
| q = """UNWIND ['a', 'b'] AS x | ||
| LOAD CSV FROM x + '.csv' AS row | ||
| RETURN x, row | ||
| ORDER BY x""" | ||
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| result = self.graph.query(q).result_set | ||
| self.env.assertEquals(result[0], ['a', ['AAA', 'BB', 'C']]) | ||
| self.env.assertEquals(result[1], ['b', ['AAA', 'BB', 'C']]) | ||
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The class testLoadCSV is well-structured and covers a variety of test scenarios for the LOAD CSV functionality. However, there are a few areas that could be improved for clarity, maintainability, and robustness:
- Class Name Convention: Python classes typically use CamelCase naming conventions. Consider renaming
testLoadCSVtoTestLoadCSVto align with Python's PEP 8 style guide. - Initialization Method: The
__init__method seems to be missing a call tosuper().__init__()which is a good practice in Python to ensure that the base class is correctly initialized, especially when using unittest or similar testing frameworks. - Error Message Assertion: In
test01_invalid_call, the assertion for the exception message is very specific. While this is generally good, it might be too brittle if the error message changes slightly. Consider using a more flexible assertion method that checks for the presence of key phrases rather than an exact match. - Data File References: The tests reference
'data.csv'directly without specifying a path. It's a good practice to use a setup method to ensure that test data is available and to clean up in a teardown method. This makes the tests more portable and easier to run in different environments. - Dynamic CSV Path Test: The test
test04_dynamic_csv_pathdemonstrates the functionality well but does not include negative test cases. Consider adding scenarios where the constructed path does not exist or is invalid to ensure robust error handling.
Overall, these tests are a good start, but incorporating these suggestions could make them more robust and maintainable.
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Actionable comments posted: 0
Review Status
Configuration used: CodeRabbit UI
Files selected for processing (8)
- src/csv_reader/csv_reader.h (1 hunks)
- src/datatypes/array.c (9 hunks)
- src/datatypes/array.h (2 hunks)
- src/datatypes/map.c (1 hunks)
- src/datatypes/map.h (1 hunks)
- src/execution_plan/ops/op_load_csv.c (1 hunks)
- src/execution_plan/ops/op_load_csv.h (1 hunks)
- tests/flow/test_load_csv.py (1 hunks)
Additional comments not posted (20)
src/execution_plan/ops/op_load_csv.h (2)
13-25: TheOpLoadCSVstruct is well-defined, encapsulating all necessary fields for the operation. However, consider documenting each field within the struct for better code maintainability and readability.
27-34: The function prototype forNewLoadCSVOpis clear and well-named, indicating its purpose to create a new Load CSV operation. It's good practice to also include brief documentation for public functions, describing their purpose, parameters, and return value.src/csv_reader/csv_reader.h (3)
11-11: TheCSVReadertype is defined as an opaque pointer, which is a good practice for encapsulating the implementation details. This approach enhances modularity and allows for changes in the implementation without affecting the interface.
13-19: TheCSVReader_Newfunction is well-named and its parameters are clear. However, consider adding documentation comments to describe the function's purpose, parameters, and return value for better code readability and maintainability.
47-51: TheCSVReader_Freefunction is crucial for managing the lifecycle ofCSVReaderinstances. It's good practice to explicitly document the responsibility of callers to invoke this function to prevent memory leaks.src/datatypes/array.h (3)
11-16: TheSIArray_Newfunction is well-documented through its comment, clearly stating its purpose and parameter. This is a good practice for code readability and maintainability.
18-23: The addition of theSIArray_FromRawfunction enhances the array manipulation capabilities by allowing the creation of anSIArrayfrom a raw array. Ensure that the raw array's lifecycle is managed properly to avoid memory leaks.
94-98: TheSIArray_FromBinaryfunction is mentioned in the comments but not implemented in this file. Ensure that its implementation is provided elsewhere and properly documented, especially regarding the binary format it expects.Verification successful
To further assess the documentation and implementation details of the
SIArray_FromBinaryfunction, especially regarding the binary format it expects, the following scripts will be used to extract relevant sections from both the header and source files.
The
SIArray_FromBinaryfunction is implemented and documented in the codebase, with the header file providing a brief example and parameter description, and the source file detailing the implementation process. The documentation specifies that the function expects aFILE *streamcontaining the binary representation of an array, which aligns with the implementation details observed. Therefore, the original review comment is verified as the function's implementation and documentation regarding the binary format it expects are provided and properly documented.Scripts Executed
The following scripts were executed for the analysis:
Script:
#!/bin/bash # Search for the implementation of SIArray_FromBinary in the codebase. rg "SIArray_FromBinary"Length of output: 308
Script:
#!/bin/bash # Extract the relevant documentation and implementation details of SIArray_FromBinary from the header file echo "Header file documentation:" rg -A 5 "SIArray_FromBinary" src/datatypes/array.h echo -e "\nSource file implementation:" # Extract the implementation details of SIArray_FromBinary from the source file rg -A 20 "SIArray_FromBinary" src/datatypes/array.cLength of output: 876
src/datatypes/map.h (1)
40-47: The addition of theMap_FromArraysfunction is a valuable enhancement, allowing for the creation of a map from arrays of keys and values. It's important to ensure that the lengths of the keys and values arrays match to avoid undefined behavior.tests/flow/test_load_csv.py (3)
65-69: The classtestLoadCSVfollows the suggested naming convention and structure for Python test classes. Ensure that the__init__method properly initializes the base class if necessary, as previously suggested.
76-95: Thetest01_invalid_callmethod tests various invalid invocations of theLOAD CSVcommand. Consider adding more descriptive comments for each test case to explain the expected failure reason, enhancing test readability and maintainability.
97-117: Thetest02_project_csv_rowsmethod tests the projection of all rows in a CSV file. It's well-structured and covers different scenarios. Ensure that the datasets used in the tests are properly managed and cleaned up to avoid test pollution.src/datatypes/array.c (3)
15-18: The implementation ofSIArray_Newcorrectly initializes a newSIArraywith the specified capacity. This function is essential for array management and is implemented correctly.
28-44: TheSIArray_FromRawfunction takes ownership of the raw array, which is a good practice for efficient memory management. Ensure that the caller is aware of this transfer of ownership to avoid double-free errors or memory leaks.
160-164: TheSIArray_Sortfunction provides the ability to sort an array in ascending or descending order. Consider adding a check to ensure the array is not empty before attempting to sort, as a performance optimization for empty arrays.src/datatypes/map.c (1)
77-95: The implementation ofMap_FromArrayscorrectly creates a map from arrays of keys and values. It's important to ensure that the lengths of the keys and values arrays match and that each key is unique to avoid unexpected behavior.src/execution_plan/ops/op_load_csv.c (4)
148-173: TheNewLoadCSVOpfunction correctly initializes a newLOAD CSVoperation. Ensure that the memory allocated forop->aliasis freed in theLoadCSVFreefunction to avoid memory leaks.
176-211: TheLoadCSVInitfunction properly initializes the CSV reader and handles the case where the operation has a child. Consider adding error handling for the case where_Init_CSVReaderfails, to ensure the operation is correctly marked as depleted.
222-279: TheLoadCSVConsumeFromChildfunction correctly pulls records from a child operation and processes CSV rows. Ensure that the CSV path is re-evaluated for each new child record to support dynamic CSV paths.
334-372: TheLoadCSVFreefunction correctly frees allocated resources. Ensure that all dynamically allocated fields within theOpLoadCSVstruct are properly freed to avoid memory leaks.
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Actionable comments posted: 0
Review Status
Configuration used: CodeRabbit UI
Files selected for processing (4)
- src/csv_reader/csv_reader.h (1 hunks)
- src/errors/error_msgs.h (5 hunks)
- src/execution_plan/ops/op_load_csv.c (1 hunks)
- tests/flow/test_load_csv.py (1 hunks)
Files skipped from review as they are similar to previous changes (3)
- src/csv_reader/csv_reader.h
- src/execution_plan/ops/op_load_csv.c
- tests/flow/test_load_csv.py
Additional comments not posted (5)
src/errors/error_msgs.h (5)
22-23: Consider rephrasing the error messages for undirected shortestPath traversals and relationship filters to be more user-friendly and to provide suggestions or workarounds if possible.
68-68: The error message for non-alias references in SET expressions is clear but consider adding a hint or example to guide users towards the correct syntax.
78-79: The messages regardingallShortestPathsandshortestPathssupport are informative. Ensure that documentation is updated to reflect these limitations and provide examples of supported usage.
90-90: The generic error message for unsupported features is a good addition. It might be beneficial to include a link to the FalkorDB documentation or support page for users to check for updates or workarounds.
128-131: The error messages related to CSV loading are concise and informative. Ensure that the error handling code logs or returns enough context for users to easily identify and fix issues with their CSV files.
LOAD CSV FROM 'a.csv' AS row RETURN rowSummary by CodeRabbit
LOAD CSVclauses to enhance query accuracy.