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Index

• Delete all documents from index
• Health / Stats
• Get all
• Search for string across all fields
• Count documents
• Get mapping
• Get one record
• Create one record
• Sort output, search for not empty values, in a field with a name that contains a space, and use jq to extract values.

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Moved to git repository: https://github.com/denji/nginx-tuning

NGINX Tuning For Best Performance

For this configuration you can use web server you like, i decided, because i work mostly with it to use nginx.

Generally, properly configured nginx can handle up to 400K to 500K requests per second (clustered), most what i saw is 50K to 80K (non-clustered) requests per second and 30% CPU load, course, this was 2 x Intel Xeon with HyperThreading enabled, but it can work without problem on slower machines.

You must understand that this config is used in testing environment and not in production so you will need to find a way to implement most of those features best possible for your servers.

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const a = new Set([1, 2, 3, 4, 4, 4])
const b = new Set([3, 4, 5, 6])

const intersect = (set1, set2) => [...set1].filter(num => set2.has(num))
const differ = (set1, set2) => [...set1].filter(num => !set2.has(num))
const joinSet = (set1, set2) => [...set1, ...set2]

const myIntersectedSet = new Set(intersect(a, b))
console.log('myIntersectedSet', myIntersectedSet)