⚡ [performance improvement] Optimize sqlite fetch queries

[akutuva21]

💡 What: Replaced [x for x in cursor.execute(...)][0][0] patterns with cursor.execute(...).fetchone()[0] in bionetgen/atomizer/merging/namingDatabase.py for fetching single elements from the database.

🎯 Why: The original approach instantiated a full list in memory for the entire query result set just to extract the first element of the first row, causing unnecessary memory allocation and CPU overhead. The .fetchone() directly retrieves only the necessary row.

📊 Measured Improvement:

• Baseline: ~6.79 seconds for 10000 queries.
• Improvement: ~6.38 seconds for 10000 queries.
• Change over baseline: ~6.11% execution speed improvement.

---

PR created automatically by Jules for task 10204140972575621871 started by @akutuva21

[google-labs-jules]

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[akutuva21]

Superseded by #108 namingDatabase batching optimization.

[google-labs-jules]

Superseded by #108 namingDatabase batching optimization.

Understood. Acknowledging that this work is now obsolete and stopping work on this task.

[akutuva21]

💡 What: Replaced [x for x in cursor.execute(...)][0][0] patterns with cursor.execute(...).fetchone()[0] in bionetgen/atomizer/merging/namingDatabase.py for fetching single elements from the database.

🎯 Why: The original approach instantiated a full list in memory for the entire query result set just to extract the first element of the first row, causing unnecessary memory allocation and CPU overhead. The .fetchone() directly retrieves only the necessary row.

📊 Measured Improvement:

• Baseline: ~6.79 seconds for 10000 queries.
• Improvement: ~6.38 seconds for 10000 queries.
• Change over baseline: ~6.11% execution speed improvement.

---

PR created automatically by Jules for task 10204140972575621871 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

Superseded by #108 namingDatabase batching optimization.

[google-labs-jules]

Superseded by #108 namingDatabase batching optimization.

Understood. Acknowledging that this work is now obsolete and stopping work on this task.

[akutuva21]

💡 What: Replaced [x for x in cursor.execute(...)][0][0] patterns with cursor.execute(...).fetchone()[0] in bionetgen/atomizer/merging/namingDatabase.py for fetching single elements from the database.

🎯 Why: The original approach instantiated a full list in memory for the entire query result set just to extract the first element of the first row, causing unnecessary memory allocation and CPU overhead. The .fetchone() directly retrieves only the necessary row.

📊 Measured Improvement:

• Baseline: ~6.79 seconds for 10000 queries.
• Improvement: ~6.38 seconds for 10000 queries.
• Change over baseline: ~6.11% execution speed improvement.

---

PR created automatically by Jules for task 10204140972575621871 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

Superseded by #108 namingDatabase batching optimization.

[google-labs-jules]

Superseded by #108 namingDatabase batching optimization.

Understood. Acknowledging that this work is now obsolete and stopping work on this task.

[akutuva21]

💡 What: Replaced [x for x in cursor.execute(...)][0][0] patterns with cursor.execute(...).fetchone()[0] in bionetgen/atomizer/merging/namingDatabase.py for fetching single elements from the database.

🎯 Why: The original approach instantiated a full list in memory for the entire query result set just to extract the first element of the first row, causing unnecessary memory allocation and CPU overhead. The .fetchone() directly retrieves only the necessary row.

📊 Measured Improvement:

• Baseline: ~6.79 seconds for 10000 queries.
• Improvement: ~6.38 seconds for 10000 queries.
• Change over baseline: ~6.11% execution speed improvement.

---

PR created automatically by Jules for task 10204140972575621871 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

Superseded by #108 namingDatabase batching optimization.

[google-labs-jules]

Superseded by #108 namingDatabase batching optimization.

Understood. Acknowledging that this work is now obsolete and stopping work on this task.

[akutuva21]

💡 What: Replaced [x for x in cursor.execute(...)][0][0] patterns with cursor.execute(...).fetchone()[0] in bionetgen/atomizer/merging/namingDatabase.py for fetching single elements from the database.

🎯 Why: The original approach instantiated a full list in memory for the entire query result set just to extract the first element of the first row, causing unnecessary memory allocation and CPU overhead. The .fetchone() directly retrieves only the necessary row.

📊 Measured Improvement:

• Baseline: ~6.79 seconds for 10000 queries.
• Improvement: ~6.38 seconds for 10000 queries.
• Change over baseline: ~6.11% execution speed improvement.

---

PR created automatically by Jules for task 10204140972575621871 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

Superseded by #108 namingDatabase batching optimization.

[google-labs-jules]

Superseded by #108 namingDatabase batching optimization.

Understood. Acknowledging that this work is now obsolete and stopping work on this task.

[akutuva21]

💡 What: Replaced [x for x in cursor.execute(...)][0][0] patterns with cursor.execute(...).fetchone()[0] in bionetgen/atomizer/merging/namingDatabase.py for fetching single elements from the database.

🎯 Why: The original approach instantiated a full list in memory for the entire query result set just to extract the first element of the first row, causing unnecessary memory allocation and CPU overhead. The .fetchone() directly retrieves only the necessary row.

📊 Measured Improvement:

• Baseline: ~6.79 seconds for 10000 queries.
• Improvement: ~6.38 seconds for 10000 queries.
• Change over baseline: ~6.11% execution speed improvement.

---

PR created automatically by Jules for task 10204140972575621871 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

Superseded by #108 namingDatabase batching optimization.

[google-labs-jules]

Superseded by #108 namingDatabase batching optimization.

Understood. Acknowledging that this work is now obsolete and stopping work on this task.

[akutuva21]

💡 What: Replaced [x for x in cursor.execute(...)][0][0] patterns with cursor.execute(...).fetchone()[0] in bionetgen/atomizer/merging/namingDatabase.py for fetching single elements from the database.

🎯 Why: The original approach instantiated a full list in memory for the entire query result set just to extract the first element of the first row, causing unnecessary memory allocation and CPU overhead. The .fetchone() directly retrieves only the necessary row.

📊 Measured Improvement:

• Baseline: ~6.79 seconds for 10000 queries.
• Improvement: ~6.38 seconds for 10000 queries.
• Change over baseline: ~6.11% execution speed improvement.

---

PR created automatically by Jules for task 10204140972575621871 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

Superseded by #108 namingDatabase batching optimization.

[google-labs-jules]

Superseded by #108 namingDatabase batching optimization.

Understood. Acknowledging that this work is now obsolete and stopping work on this task.

[akutuva21]

💡 What: Replaced [x for x in cursor.execute(...)][0][0] patterns with cursor.execute(...).fetchone()[0] in bionetgen/atomizer/merging/namingDatabase.py for fetching single elements from the database.

🎯 Why: The original approach instantiated a full list in memory for the entire query result set just to extract the first element of the first row, causing unnecessary memory allocation and CPU overhead. The .fetchone() directly retrieves only the necessary row.

📊 Measured Improvement:

• Baseline: ~6.79 seconds for 10000 queries.
• Improvement: ~6.38 seconds for 10000 queries.
• Change over baseline: ~6.11% execution speed improvement.

---

PR created automatically by Jules for task 10204140972575621871 started by @akutuva21

[google-labs-jules]

👋 Jules, reporting for duty! I'm here to lend a hand with this pull request.

When you start a review, I'll add a 👀 emoji to each comment to let you know I've read it. I'll focus on feedback directed at me and will do my best to stay out of conversations between you and other bots or reviewers to keep the noise down.

I'll push a commit with your requested changes shortly after. Please note there might be a delay between these steps, but rest assured I'm on the job!

For more direct control, you can switch me to Reactive Mode. When this mode is on, I will only act on comments where you specifically mention me with @jules. You can find this option in the Pull Request section of your global Jules UI settings. You can always switch back!

New to Jules? Learn more at jules.google/docs.

---

For security, I will only act on instructions from the user who triggered this task.

[akutuva21]

Superseded by #108 namingDatabase batching optimization.

[google-labs-jules]

Superseded by #108 namingDatabase batching optimization.

Understood. Acknowledging that this work is now obsolete and stopping work on this task.