github / github/codeql

How to make a database of a very large codebase very quickly?

未關閉
#8,342 0 則留言 0 個 reaction 已指派 0 人 在 GitHub 檢視
question
主要語言
CodeQL
星號
10.1k
分支
2.1k
平均合併
2 天 15 小時
30 天內合併 PR
141

描述

**Description of the issue**
I have close 10K small projects. All these projects have individual CSS/HTML/JS files. Often many times I want to scan the entire catalog for some query. The catalog also keeps changing with new addition/modification to packages

My requirements are to scan the entire catalog on demand in the most efficient manner possible.

I have explored 2 approaches

1. Upload all packages as individual databases to LGTM and scan from there. The challenge here is that it is very slow to scan entire catalog. I have 9 query workers and it takes 7 hours to scan.

2. Create a big LGTM database and scan over this only on demand. The challenge here is that combined all these packages are around 27GB. How do I create a LGTM database in the minimum time possible?

I am using a Standard_F32s_v2 VM on azure and it is still taking lot of time (at least 5 hours so far) to run. This is a compute optimized VM.
What should be my VM configuration ? Is more power better? Should I go for a memory optimized or compute optimized ?
Are there any more command parameters than I can specify to speed this up. I currently use `threads=0` while creating a database though I don't know its significance.

Any other inputs would be highly appreciated.

貢獻指南

開啟貢獻指南

評估

這個 Issue 還沒有評估資料。

把新 issue 寄到你的電子郵件信箱

精選適合新手參與的 GitHub issue 摘要。