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PR Reviewer Guide 🔍
⏱️ Estimated effort to review: 3 🔵🔵🔵⚪⚪
🧪 No relevant tests
🔒 No security concerns identified
⚡ Key issues to review
Possible Bug There is a commented line indicating a bug without further explanation or resolution. This needs investigation to ensure it does not affect functionality.
Error Handling Error handling was removed in the function HandleShardingReadApproxObjectsNum, which might lead to unhandled errors that could affect stability.
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PR Code Suggestions ✨
Category
Suggestion
Score
Possible bug
Add nil checks for vectors to prevent runtime panics
To avoid potential panics from index out of range or nil pointer dereference, add a check to ensure vec and pk are not nil before proceeding with operations in LinearSearchOffsetByValFactory.
func LinearSearchOffsetByValFactory(pk *vector.Vector) func(*vector.Vector) []int64 {
+ if pk == nil {+ return nil+ }+ return func(vec *vector.Vector) []int64 {+ if vec == nil {+ return nil+ }+ var sels []int64
Apply this suggestion
Suggestion importance[1-10]: 10
Why: Adding nil checks for vectors is crucial to prevent potential runtime panics due to nil pointer dereferences, which enhances the robustness of the function.
10
Add a check for zero value of AliveRegCnt to prevent division by zero
Consider checking if shuffle.AliveRegCnt is zero before initializing shuffle.ctr.sels to avoid potential division by zero in the capacity calculation for slices. This will prevent runtime panic in cases where AliveRegCnt might be zero.
-shuffle.ctr.sels = make([][]int64, shuffle.AliveRegCnt)-for i := 0; i < int(shuffle.AliveRegCnt); i++ {- shuffle.ctr.sels[i] = make([]int64, 0, colexec.DefaultBatchSize/shuffle.AliveRegCnt*2)+if shuffle.AliveRegCnt > 0 {+ shuffle.ctr.sels = make([][]int64, shuffle.AliveRegCnt)+ for i := 0; i < int(shuffle.AliveRegCnt); i++ {+ shuffle.ctr.sels[i] = make([]int64, 0, colexec.DefaultBatchSize/shuffle.AliveRegCnt*2)+ }+} else {+ // Handle the case where AliveRegCnt is zero or set a default value
}
Apply this suggestion
Suggestion importance[1-10]: 9
Why: This suggestion addresses a potential runtime panic by ensuring that AliveRegCnt is not zero before performing division, which is a critical bug fix.
9
Add nil check for groupByVec to prevent nil pointer dereference
Consider handling the case where groupByVec is nil in the getShuffledSelsByHashWithNull function to prevent potential nil pointer dereference.
Why: Adding error handling for MustFixedCol[T](vector) can prevent potential runtime panics, which is crucial for robust and reliable code. This is an important improvement for error handling.
9
Maintainability
Handle unexpected types gracefully in switch cases
To ensure that the sels slice captures all indices without missing any due to skipped conditions, add a default case in the switch statement to handle unexpected types, possibly logging an error or handling the unknown type appropriately.
Why: Adding a default case in the switch statement to handle unexpected types ensures that all cases are covered, improving the maintainability and robustness of the code.
9
Best practice
Add error handling for the union operation to ensure robustness
Add error handling after the Union function call to handle potential errors that might occur during the union operation.
Why: Adding error handling after the Union function call is a best practice that enhances the robustness and reliability of the code. This is an important improvement.
9
Performance
Optimize loop performance by caching the length of slices
Use a more efficient loop condition by caching the length of rows outside the loop to avoid multiple length computations.
-for x := range rows {+n := len(rows)+for x := 0; x < n; x++ {
Apply this suggestion
Suggestion importance[1-10]: 8
Why: Caching the length of the slice outside the loop avoids multiple length computations, which can slightly improve performance. This is a good practice for optimizing loop performance.
8
Improve performance by preallocating the sels slice
Consider preallocating the sels slice to improve performance. Since the maximum index is known based on the length of vs, you can initialize sels with a capacity to avoid multiple reallocations during the append operations.
-var sels []int64+sels := make([]int64, 0, len(vs))
Apply this suggestion
Suggestion importance[1-10]: 8
Why: Preallocating the sels slice can improve performance by reducing the number of reallocations during append operations. This is a beneficial optimization given the context.
8
Improve memory allocation by preallocating slices
Consider using a preallocated slice with a capacity hint for sels to improve memory allocation performance, especially if the expected number of elements is known or can be estimated.
-var sels []int64+sels := make([]int64, 0, estimatedSize)
Apply this suggestion
Suggestion importance[1-10]: 7
Why: Preallocating slices can improve memory allocation performance, especially if the expected number of elements is known or can be estimated. This is a minor optimization but can be beneficial in performance-critical code.
7
Reduce redundant method calls by storing results in a variable
Instead of repeatedly calling GetType().Oid inside the loop, consider storing the result in a variable outside the loop to reduce redundant method calls, enhancing the function's efficiency.
Why: Storing the result of GetType().Oid in a variable outside the loop reduces redundant method calls, improving the function's efficiency. This is a minor but useful optimization.
7
Improve memory efficiency by preallocating slice capacity
Consider preallocating the sels slice with a capacity if the size is known ahead of time to improve memory allocation efficiency.
Why: Preallocating the slice capacity can improve memory allocation efficiency, which is a good practice for performance optimization. However, the improvement is minor.
7
Store repeated type conversions outside the loop to optimize performance
Optimize the repeated calls to uint64(v) by storing the result in a variable outside the loop, reducing the number of conversions needed.
Why: Computing the type conversion once per iteration reduces overhead, but the performance gain is likely minimal. This is a minor optimization.
6
Enhancement
Modify getSels() to reset slices without changing their capacity
To ensure that the getSels() function does not inadvertently modify the length of the slices in shuffle.ctr.sels, consider using a different approach to reset slices without changing their capacity.
for i := range shuffle.ctr.sels {
- shuffle.ctr.sels[i] = shuffle.ctr.sels[i][:0]+ shuffle.ctr.sels[i] = make([]int64, 0, cap(shuffle.ctr.sels[i]))
}
Apply this suggestion
Suggestion importance[1-10]: 7
Why: This enhancement improves the efficiency of resetting slices by preserving their capacity, which can be beneficial for performance and memory usage.
7
Simplify loop iteration by using range over slices
Use a direct assignment in the loop to simplify the code and potentially enhance readability.
-for j := 0; j < srcLen; j++ {+for j := range sels {
sels[j] = int64(j) + int64(srcOff)
}
Apply this suggestion
Suggestion importance[1-10]: 6
Why: Using range in the loop can enhance readability and simplify the code. However, the improvement is relatively minor and does not significantly impact functionality.
6
Possible issue
Check the necessity of type conversion to avoid potential integer overflow
Ensure that the conversion from int to int64 is necessary, considering the potential for integer overflow if srcOff is large.
Why: The suggestion to avoid type conversion is not necessarily better, as the original code explicitly converts both values to int64, which can prevent overflow issues. The suggested change might introduce subtle bugs.
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PR Reviewer Guide 🔍
⏱️ Estimated effort to review: 4 🔵🔵🔵🔵⚪
🧪 PR contains tests
🔒 No security concerns identified
⚡ Key issues to review
Performance Concern The conversion from int to int64 in the append operation inside loops may introduce unnecessary overhead. Consider optimizing the loop to handle int64 values directly if possible.
Redundant Code The function OrderedSearchOffsetsByLess and similar functions have redundant checks and conversions. Simplify the logic to improve readability and performance.
Type Consistency The variable eligible is changed from []int32 to []int64. Ensure that all related operations and dependent code correctly handle the new type without loss of information or overflow.
Commented Code There is a commented line of code with no explanation. If this line is not needed, it should be removed; otherwise, clarify its purpose with a comment.
Why: This suggestion addresses a potential bug by preventing division by zero and unnecessary slice creation, which is crucial for avoiding runtime errors.
9
Add validation for parameters used in memory allocation to prevent runtime errors
Validate the AliveRegCnt and other parameters used in slice allocations to prevent runtime panics due to invalid memory allocation requests.
Why: This suggestion adds necessary validation to prevent runtime panics due to invalid memory allocation requests, addressing a critical issue.
9
Concurrency
Add thread safety to modifications of shuffle.ctr.sels
To ensure thread safety, consider using synchronization mechanisms like mutexes when modifying shuffle.ctr.sels if Shuffle methods might be called concurrently.
Why: Ensuring thread safety is important for concurrent execution. This suggestion correctly adds mutex locks to prevent race conditions.
8
Performance
Improve memory usage by preallocating slices based on expected size
Use a preallocated slice for sels to improve memory allocation performance, especially when the expected number of elements is known or can be estimated.
-var sels []int64
rows := MustFixedCol[T](vector)
+sels := make([]int64, 0, len(rows))
if len(rows) == 0 {
return sels
}
Apply this suggestion
Suggestion importance[1-10]: 8
Why: Preallocating the slice can significantly improve memory allocation performance, especially for large datasets, making this a valuable optimization.
8
Improve performance by pre-allocating slices
Consider pre-allocating the sels slice to improve performance by reducing the number of memory allocations during the append operations. This is particularly beneficial when the expected number of elements is large or can be estimated from the input vector's length.
-var sels []int64+sels := make([]int64, 0, len(vec))
Apply this suggestion
Suggestion importance[1-10]: 8
Why: Pre-allocating the sels slice can significantly improve performance by reducing the number of memory allocations during the append operations, especially when the size of the input vector can be estimated.
8
Improve memory allocation by preallocating the eligible slice
Consider preallocating the eligible slice to improve memory allocation performance. Since you know the maximum possible size it can grow to (count), initializing it with this capacity can prevent multiple reallocations as the slice grows.
Why: Preallocating the eligible slice with a capacity of count can improve memory allocation performance by preventing multiple reallocations as the slice grows. This is a valid and beneficial optimization.
8
Optimize type conversion by reducing its redundancy within loops
Replace the repeated int64(x) type conversion with a single conversion at the start of the loop to enhance performance and readability.
for x := range rows {
+ ix := int64(x)
if closed && rows[x] <= ub {
- sels = append(sels, int64(x))+ sels = append(sels, ix)
} else if !closed && rows[x] < ub {
- sels = append(sels, int64(x))+ sels = append(sels, ix)
} else if quick {
break
}
}
Apply this suggestion
Suggestion importance[1-10]: 7
Why: The suggestion reduces redundancy and enhances performance by converting the type once at the start of the loop. However, the performance gain might be minimal in most cases.
7
Reduce type conversion overhead inside loops
Instead of repeatedly calling int64(i) inside the loop, convert i to int64 once before the loop starts to reduce the overhead of type conversion in each iteration.
for i, v := range vs {
+ idx := int64(i)
if mp[v] {
- sels = append(sels, int64(i))+ sels = append(sels, idx)
}
}
Apply this suggestion
Suggestion importance[1-10]: 7
Why: Converting i to int64 once before the loop starts can reduce the overhead of type conversion in each iteration, improving performance slightly.
7
Use copy to reset slices to zero for potential efficiency gains
Instead of manually setting each index to zero, consider using a built-in function like copy to reset all elements in shuffle.ctr.sels to zero, which can be more efficient.
-shuffle.ctr.sels[i] = shuffle.ctr.sels[i][:0]+for i := range shuffle.ctr.sels {+ copy(shuffle.ctr.sels[i], make([]int64, len(shuffle.ctr.sels[i])))+}
Apply this suggestion
Suggestion importance[1-10]: 6
Why: This suggestion improves performance by using a more efficient method to reset slices, though it is a minor optimization.
6
Maintainability
Simplify the code by removing unnecessary type conversion
Ensure that the conversion to int64 in the append operation is necessary. If i+k is already an int64, you can omit the explicit conversion to simplify the code.
Why: The suggestion to remove the explicit conversion to int64 is valid if i+k is already an int64. This can simplify the code and improve readability. However, it is essential to ensure that i+k is indeed an int64 before making this change.
7
Enhance code clarity and maintainability by using a switch statement
Refactor the loop to use a switch statement for clarity and maintainability when checking conditions for appending to sels.
for x := range rows {
- if closed && rows[x] <= ub {+ switch {+ case quick:+ break+ case closed && rows[x] <= ub:
sels = append(sels, int64(x))
- } else if !closed && rows[x] < ub {+ case !closed && rows[x] < ub:
sels = append(sels, int64(x))
- } else if quick {- break
}
}
Apply this suggestion
Suggestion importance[1-10]: 6
Why: Using a switch statement can improve code readability and maintainability, but it does not provide a significant functional improvement over the existing if-else structure.
6
Refactor repeated code into a function to improve maintainability
Refactor the repeated code pattern for appending to sels into a separate function to improve code maintainability and reduce code duplication.
-if mp[v] {- sels = append(sels, int64(i))+func appendIfPresent(mp map[any]bool, v any, i int, sels []int64) []int64 {+ if mp[v] {+ return append(sels, int64(i))+ }+ return sels
}
+// Usage:+sels = appendIfPresent(mp, v, i, sels)
Apply this suggestion
Suggestion importance[1-10]: 6
Why: Refactoring the repeated code pattern for appending to sels into a separate function can improve code maintainability and reduce code duplication, although it adds a bit of complexity.
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fengttt
requested review from
XuPeng-SH,
LeftHandCold,
triump2020,
badboynt1,
aunjgr and
m-schen
as code owners
qodo-merge-pro
bot
added
Tests
Review effort [1-5]: 4
and removed
Review effort [1-5]: 3
labels
User description
What type of PR is this?
Which issue(s) this PR fixes:
issue #17754
What this PR does / why we need it:
Unfuck our code.
PR Type
Enhancement, Tests
Description
int64instead ofint32.[]int64instead of[]int32.int64andint32.int64.selsfield in multiple structs and functions from[]int32to[]int64.Changes walkthrough 📝
15 files
search.go
Update vector search functions to use int64pkg/container/vector/search.go
[]int32to[]int64.int64instead ofint32.vector.go
Refactor vector union functions to support int64 and int32pkg/container/vector/vector.go
Unionfunction to accept[]int64instead of[]int32.UnionInt32function to handle[]int32.unionTfunction to handle bothint32andint64.utils.go
Modify ConstructRowidColumnToWithSels to use int64pkg/objectio/utils.go
ConstructRowidColumnToWithSelsfunction to accept[]int64instead of
[]int32.join.go
Update AntiJoin probe function to use int64pkg/sql/colexec/anti/join.go
eligibleslice from[]int32to[]int64.external.go
Modify external batch processing to use int64pkg/sql/colexec/external/external.go
selsslice from[]int32to[]int64.join.go
Update SemiJoin probe function to use int64pkg/sql/colexec/semi/join.go
eligibleslice from[]int32to[]int64.shuffle.go
Refactor shuffle handling to use int64pkg/sql/colexec/shuffle/shuffle.go
selsslices from[]int32to[]int64.int64.types.go
Update container struct to use int64 for selspkg/sql/colexec/shuffle/types.go
selsfield incontainerstruct from[][]int32to[][]int64.func_unary.go
Modify unary function to use int64 for selspkg/sql/plan/function/func_unary.go
selsslice from[]int32to[]int64.pk_filter.go.go
Update PK filter search functions to use int64pkg/vm/engine/disttae/pk_filter.go.go
[]int64instead of[]int32.txn_table_sharding_handle.go
Remove redundant error handling in txn_table_sharding_handlepkg/vm/engine/disttae/txn_table_sharding_handle.go
util.go
Modify LinearSearchOffsetByValFactory to use int64pkg/vm/engine/disttae/util.go
LinearSearchOffsetByValFactoryto return[]int64instead of[]int32.read.go
Update blockio read functions to use int64pkg/vm/engine/tae/blockio/read.go
ReadFilterSearchFuncTypeto return[]int64instead of[]int32.[]int64forsels.vector.go
Modify vector container to use int64 for selspkg/vm/engine/tae/containers/vector.go
selsslice from[]int32to[]int64.base.go
Update table base to use int64 for selspkg/vm/engine/tae/tables/base.go
selsslice from[]int32to[]int64.1 files
utils_test.go
Modify test cases for int64 vector search functionspkg/container/vector/utils_test.go
[]int64instead of[]int32.1 files
txn_table_sharding.go
Minor formatting and comment additionpkg/vm/engine/disttae/txn_table_sharding.go