add Traverser Http Query comment #9
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WalkthroughThe recent changes primarily involve the addition of comments in various parts of the HugeGraph codebase. These comments are intended to aid in understanding the logic and performance impacts of specific segments of the code. Notably, they cover while loops, method execution times, and batch query functionalities across multiple files, without altering the core functionalities. Changes
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Actionable comments posted: 0
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (3)
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/traversal/algorithm/HugeTraverser.java (1 hunks)
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/traversal/algorithm/KneighborTraverser.java (1 hunks)
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/traversal/algorithm/OltpTraverser.java (1 hunks)
Files skipped from review due to trivial changes (3)
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/traversal/algorithm/HugeTraverser.java
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/traversal/algorithm/KneighborTraverser.java
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/traversal/algorithm/OltpTraverser.java
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Actionable comments posted: 1
Outside diff range, codebase verification and nitpick comments (1)
hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/api/traversers/KneighborAPI.java (1)
180-181: Consider adding more context or examples in the comment.While the comment is helpful, it might be more beneficial to include specific examples or more detailed explanations of how batch requests can impact performance. This could help developers make more informed decisions when using this API.
Review details
Configuration used: CodeRabbit UI
Review profile: CHILL
Files selected for processing (7)
- hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/api/traversers/KneighborAPI.java (1 hunks)
- hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/serializer/JsonSerializer.java (1 hunks)
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/backend/tx/GraphTransaction.java (1 hunks)
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/traversal/algorithm/HugeTraverser.java (1 hunks)
- hugegraph-server/hugegraph-hbase/src/main/java/org/apache/hugegraph/backend/store/hbase/HbaseSessions.java (1 hunks)
- hugegraph-server/hugegraph-hbase/src/main/java/org/apache/hugegraph/backend/store/hbase/HbaseTable.java (1 hunks)
- hugegraph-server/hugegraph-hstore/src/main/java/org/apache/hugegraph/backend/store/hstore/HstoreTable.java (1 hunks)
Files skipped from review due to trivial changes (1)
- hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/serializer/JsonSerializer.java
Files skipped from review as they are similar to previous changes (1)
- hugegraph-server/hugegraph-core/src/main/java/org/apache/hugegraph/traversal/algorithm/HugeTraverser.java
Additional comments not posted (5)
hugegraph-server/hugegraph-api/src/main/java/org/apache/hugegraph/api/traversers/KneighborAPI.java (2)
180-181: Review the added comment for clarity and accuracy.The added comment explains a potential performance impact when
withVertexis true due to batch requests in backends like HBase or HStore. This is a valuable addition for developers to understand the implications of their query parameters.
180-181: Verify the implementation of batch requests in the backend.Given the comment about batch requests, it's crucial to ensure that the backend implementations (HBase, HStore) are correctly handling these requests to avoid potential performance issues.
hugegraph-server/hugegraph-hbase/src/main/java/org/apache/hugegraph/backend/store/hbase/HbaseTable.java (1)
200-200: Batch Query ImplementationThe comment added here explains the support for batch querying by multiple IDs, which is a significant enhancement for performance when dealing with large datasets.
hugegraph-server/hugegraph-hstore/src/main/java/org/apache/hugegraph/backend/store/hstore/HstoreTable.java (1)
440-440: Clarification on Batch QueryingThe comment added in Chinese clarifies that Hstore also implements batch querying. This is a useful annotation for developers maintaining or extending this code, especially for those familiar with Chinese.
hugegraph-server/hugegraph-hbase/src/main/java/org/apache/hugegraph/backend/store/hbase/HbaseSessions.java (1)
728-728: Explanation of Bulk Query ExecutionThe comment added here explains that HBase directly handles batch queries, which is a crucial detail for understanding how the system manages bulk data operations efficiently.
| @@ -794,7 +794,7 @@ protected Iterator<Vertex> queryVerticesByIds(Object[] vertexIds, | |||
| vertices.put(vertex.id(), vertex); | |||
| } else { | |||
| // Prepare to query from backend store | |||
| query.query(id); | |||
| query.query(id);//暂时存储到list 应该支持并发查询 | |||
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Review Added Comment for Clarity and Actionability
The comment added in the queryVerticesByIds method suggests using a list for temporary storage and hints at supporting concurrent queries. While the intent to guide future optimizations is clear, it would be beneficial to provide more detailed suggestions or examples on how to implement these optimizations effectively.
Consider enhancing the comment to include specific techniques or code snippets that could be used to achieve concurrency, which aligns with the PR's objectives of optimizing performance.
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Due to the lack of activity, the current pr is marked as stale and will be closed after 180 days, any update will remove the stale label |
主要是跟读 Http Traiverser 相关算法实现及问题优化
已知问题
1. Kneighbor POST API 新版本性能差 待定位根因并解决
2. 计算层如何优化算子性能：并发 or 批量？如何代码实现
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