Files that changed from the base of the PR and between 62bd7b2 and 8d343a7.

• src/handler/http/request/status/mod.rs (1 hunks)
• src/service/promql/engine.rs (1 hunks)
• src/service/search/datafusion/exec.rs (7 hunks)
• src/service/search/datafusion/mod.rs (2 hunks)
• src/service/search/datafusion/table_provider/helpers.rs (1 hunks)
• src/service/search/datafusion/table_provider/mod.rs (1 hunks)
• src/service/search/datafusion/table_provider/test_util.rs (1 hunks)
• src/service/search/datafusion/udf/arrjoin_udf.rs (2 hunks)
• src/service/search/datafusion/udf/arrzip_udf.rs (2 hunks)
• src/service/search/datafusion/udf/cast_to_arr_udf.rs (2 hunks)
• src/service/search/datafusion/udf/mod.rs (1 hunks)
• src/service/search/datafusion/udf/spath_udf.rs (2 hunks)
• src/service/search/datafusion/udf/transform_udf.rs (1 hunks)

• src/handler/http/request/status/mod.rs
• src/service/search/datafusion/mod.rs
• src/service/search/datafusion/udf/transform_udf.rs

src/service/search/datafusion/table_provider/test_util.rs (1)

32-37: Consider handling errors more gracefully in test environments.

While using unwrap() in test environments is common, it's generally a good practice to handle errors gracefully even in tests to avoid panics and to make test failures more informative.

src/service/search/datafusion/udf/spath_udf.rs (1)

89-89: Optimize JSON path processing in spath_impl.

The function currently re-parses the JSON object for each path segment. Consider maintaining the parsed JSON object and traversing it according to the path, which could improve performance.
[REFACTOR_SUGGESTion]

- let mut field: json::Value = json::from_str(field).expect("Failed to deserialize arrzip field1");
+ let mut field: json::Value = json::from_str(field).map_err(|e| DataFusionError::Execution(format!("JSON parsing error: {}", e)))?;

src/service/search/datafusion/table_provider/mod.rs (1)

83-106: Ensure robust error handling in try_new.

The function uses ? for error propagation, which is good. However, consider adding more descriptive error messages or handling specific cases differently to improve the clarity and maintainability of error handling.

src/service/search/datafusion/table_provider/helpers.rs (1)

129-149: Optimize the split_files function.

The function handles file partitioning well. Consider adding more comments to explain the logic, especially around the calculation of chunk_size which might not be immediately clear to other developers.

src/service/promql/engine.rs (2)

1029-1029: Updated import path for REGEX_MATCH_UDF is correct.

The updated import path aligns with the restructuring of the udf module as described in the AI-generated summary.

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1036-1037: Updated import path for REGEX_NOT_MATCH_UDF is correct.

The updated import path correctly points to the new location of REGEX_NOT_MATCH_UDF within the regexp_udf sub-module of udf, consistent with the restructuring described.

src/service/search/datafusion/exec.rs (6)

63-65: Review of imports and module usage.

The imports from super have been updated to include NewListingTable and get_all_transform functions, which aligns with the restructuring mentioned in the PR summary. This is a positive change as it helps in keeping the code modular and organized.

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620-620: Review of NewListingTable instantiation.

The instantiation of NewListingTable is done correctly according to the new table_provider module's API. It's good to see that error handling is properly implemented with the ? operator, which will propagate any errors upwards.

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987-987: Review of NewListingTable instantiation in a different context.

Similar to the previous comment, the instantiation here is done correctly. This consistency in using the NewListingTable across different parts of the codebase is good for maintainability.

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1093-1093: Review of NewListingTable registration in a session context.

The registration of NewListingTable in the session context is handled properly. This part of the code also demonstrates good practice by cloning the table before registering, which ensures that the original object isn't modified unexpectedly elsewhere.

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1214-1230: Review of UDF registrations.

The registration of multiple UDFs is done in a clean and concise manner. It's important to ensure that all these UDFs are indeed implemented and tested as they play a critical role in the functionality of the system. The use of clone() here is necessary due to the ownership rules in Rust, which is correctly applied.

---

1311-1311: Review of conditional cache handling in NewListingTable.

This line demonstrates an important aspect of performance optimization by conditionally adding a cache based on the storage type. This is a smart use of resources and helps in optimizing performance for different deployment configurations.

Files that changed from the base of the PR and between 8d343a7 and 27f1e33.

• src/infra/src/file_list/mysql.rs (1 hunks)
• src/infra/src/file_list/postgres.rs (1 hunks)
• src/infra/src/file_list/sqlite.rs (1 hunks)

src/infra/src/file_list/postgres.rs (1)

1001-1001: Ensure compatibility with existing data when changing default column values.

Changing the default value of the started_at column to 0 might affect existing operations expecting a NULL or different default. It's crucial to verify that this change aligns with all uses of this column in the application to prevent unexpected behaviors.

Verification successful

---

Changing the default value of the started_at column to 0 is compatible with existing operations.

The INSERT statement already uses 0 for started_at, and the UPDATE statement explicitly sets this column, ensuring no conflicts with the default value change.

• src/infra/src/file_list/postgres.rs, Line 1001

Scripts executed

The following scripts were executed for the analysis:

---

Script:

#!/bin/bash
# Description: Search for usages of the `started_at` column in the PostgreSQL-related files.
rg --type rust --glob '*postgres.rs' 'started_at'

Length of output: 627

src/infra/src/file_list/sqlite.rs (1)

1009-1009: Check implications of the default value change on existing SQLite data.

The addition of a default value of 0 for started_at in SQLite mirrors the change in the PostgreSQL file. It's important to assess how this default value impacts existing records and queries, especially in cases where NULL might have been expected.

Verification successful

---

Default value change for started_at verified

The change to set the default value of the started_at column to 0 in SQLite does not impact existing records or queries, as there are no instances of NULL handling for this column in the codebase.

• Instances of started_at are consistently set to the current timestamp, and no NULL values are expected.

Scripts executed

The following scripts were executed for the analysis:

---

Script:

#!/bin/bash
# Description: Search for usages of the `started_at` column in the SQLite-related files.
rg --type rust --glob '*sqlite.rs' 'started_at'

Length of output: 592

---

---

Script:

#!/bin/bash
# Description: Search for instances where the `started_at` column is set to NULL or queries that handle NULL values for this column.
rg --type rust --glob '*sqlite.rs' 'started_at.*NULL'

Length of output: 55

---

---

Script:

#!/bin/bash
# Description: Search for usages of the `started_at` column in the entire codebase to identify any potential handling of NULL values or implications of the default value change.
rg --type rust 'started_at'

Length of output: 4667

src/infra/src/file_list/mysql.rs (1)

1044-1044: Good practice to ensure data consistency.

Setting a default value of 0 for the started_at column in the file_list_jobs table is a good practice. It ensures that every record has a predictable initial state, which is crucial for processes that depend on this timestamp. This change enhances the robustness of the database schema by preventing null values in this column.