[Bug] 需要多数据集JOIN得到查询内容结果时，系统未能生成正确的SQL查询语句

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Bug Report: Incorrect SQL Query Generation for Multi-Dataset JOIN

Problem Description

When working with multiple datasets in SuperSonic, each with the same id field, the system fails to generate the correct SQL query when the query result requires joining two datasets based on their id fields. This results in an incorrect SQL logic being executed, leading to an incorrect result.

Expected SQL Query

The expected SQL query for this scenario is:

SELECT a.dim,
       count(b.metric2) / count(a.metric1) as pct
FROM dataset_a a
         JOIN dataset_b b
              ON a.id = b.id
GROUP BY a.dim;

This query joins two datasets, dataset_a and dataset_b, on their common id field, and then calculates the ratio of metric2 in dataset_b to metric1 in dataset_a for each unique value of dim in dataset_a.

Actual System Behavior

However, the actual system behavior is that it only uses one of the datasets, resulting in an incorrect result. This is a critical issue that needs to be addressed to ensure accurate query results.

Reproduction Steps

To reproduce this issue, follow these steps:

  1. Configure multiple datasets in SuperSonic, each with the same id field.
  2. Create a query that requires joining two datasets based on their id fields.
  3. Execute the query and observe the incorrect result.

Impact

This issue has a significant impact on the accuracy of query results in SuperSonic. It can lead to incorrect insights and decisions, which can be costly and time-consuming to rectify.

Solution

To resolve this issue, the system needs to be modified to generate the correct SQL query when joining multiple datasets based on their id fields. This can be achieved by:

  1. Improving the query parser to correctly identify the need for a JOIN operation.
  2. Modifying the query generator to produce the correct SQL query for the JOIN operation.
  3. Testing the modified system to ensure that it produces the correct result.

Conclusion

The issue of incorrect SQL query generation for multi-dataset JOIN is a critical problem that needs to be addressed in SuperSonic. By following the reproduction steps and understanding the impact of this issue, users can help identify and resolve this problem. The proposed solution involves improving the query parser and query generator to produce the correct SQL query for JOIN operations.

Related Issues

  • [Bug] Incorrect SQL query generation for single-dataset queries
  • [Feature Request] Support for complex JOIN operations

Additional Information

  • SuperSonic version: latest
  • Organization: learner

Are you willing to submit a PR?

  • [ ] Yes, I am willing to submit a PR!
    Q&A: Bug Report - Incorrect SQL Query Generation for Multi-Dataset JOIN

Frequently Asked Questions

We've compiled a list of frequently asked questions related to the bug report on incorrect SQL query generation for multi-dataset JOIN. Check out the answers below:

Q: What is the expected SQL query for multi-dataset JOIN?

A: The expected SQL query for multi-dataset JOIN is:

SELECT a.dim,
       count(b.metric2) / count(a.metric1) as pct
FROM dataset_a a
         JOIN dataset_b b
              ON a.id = b.id
GROUP BY a.dim;

This query joins two datasets, dataset_a and dataset_b, on their common id field, and then calculates the ratio of metric2 in dataset_b to metric1 in dataset_a for each unique value of dim in dataset_a.

Q: What is the actual system behavior for multi-dataset JOIN?

A: The actual system behavior for multi-dataset JOIN is that it only uses one of the datasets, resulting in an incorrect result.

Q: How can I reproduce this issue?

A: To reproduce this issue, follow these steps:

  1. Configure multiple datasets in SuperSonic, each with the same id field.
  2. Create a query that requires joining two datasets based on their id fields.
  3. Execute the query and observe the incorrect result.

Q: What is the impact of this issue?

A: This issue has a significant impact on the accuracy of query results in SuperSonic. It can lead to incorrect insights and decisions, which can be costly and time-consuming to rectify.

Q: How can this issue be resolved?

A: To resolve this issue, the system needs to be modified to generate the correct SQL query when joining multiple datasets based on their id fields. This can be achieved by:

  1. Improving the query parser to correctly identify the need for a JOIN operation.
  2. Modifying the query generator to produce the correct SQL query for the JOIN operation.
  3. Testing the modified system to ensure that it produces the correct result.

Q: Can I submit a PR to resolve this issue?

A: Yes, we encourage users to submit a PR to resolve this issue. If you're willing to submit a PR, please indicate your willingness in the bug report.

Q: Are there any related issues that I should be aware of?

A: Yes, there are related issues that you should be aware of:

  • [Bug] Incorrect SQL query generation for single-dataset queries
  • [Feature Request] Support for complex JOIN operations

Q: What is the current SuperSonic version?

A: The current SuperSonic version is latest.

Q: What is the organization that reported this issue?

A: The organization that reported this issue is learner.

Additional Resources

  • [Bug Report] Incorrect SQL query generation for multi-dataset JOIN
  • [Feature Request] Support for complex JOIN operations
  • [SuperSonic Documentation] Querying with JOIN operations

Are you willing to submit a PR?

  • [ ] Yes, I am willing to submit a PR!