Apa iku pipelining ing Redis lan kapan sampeyan kudu nggunaake?

Question

Accepted Answer

**Pipelining** ngirim pirang-pirang perintah Redis ing siji round-trip jaringan saja tinimbang ngenteni jawaban saben perintah sadurunge ngirim sing sabanjure. Iki nambah throughput kanthi dramatis nalika ngeluarake pirang-pirang perintah, amarga latency jaringan — ora Redis dhewe — asring dadi bottleneck.

## Masalahe: round-trip latency

```text
Normally each command is a request→reply round-trip:
  send GET → wait for reply → send GET → wait for reply → ... (N × network latency)
→ Redis processes each command in microseconds, but each round-trip adds network
  latency (e.g. 0.5ms). For 1000 commands, that's ~500ms JUST in waiting!
```

## Pipelining: batch-an perintah-perintahe

```js
// send all commands at once, then read all replies — ONE round-trip
const pipeline = redis.pipeline();
for (const id of userIds) pipeline.get(`user:${id}`);
const results = await pipeline.exec();   // all replies returned together
// => 1000 commands in ~one round-trip instead of 1000 → dramatically faster
```

Klien ngirim pirang-pirang perintah tanpa ngenteni, banjur maca kabeh jawabane babarengan — nglempitake N round-trips dadi kira-kira siji, kecepatan luar biasa kanggo operasi bulk.

## Pipelining lawan transactions lawan MGET

```text
PIPELINING → batches commands for THROUGHPUT (NOT atomic — other clients' commands
  can interleave between your pipelined commands; it's just network batching)
MULTI/EXEC → atomic execution (commands run together, no interleaving) — different goal
MGET/MSET  → batch GETs/SETs in one command (use these for simple multi-key string ops)
→ Pipelining is for throughput; transactions are for atomicity. They can combine.
```

## Kapan nggunaake

```text
✓ Doing MANY independent commands (bulk reads/writes, batch processing, warming a cache)
✓ When network latency dominates (client and Redis have non-trivial latency between them)
✗ NOT needed for a single command, or when each command depends on the previous reply
⚠️ Don't pipeline a HUGE number at once (memory for buffered replies) — batch in chunks
```

## Kenapa penting

Paham pipelining iku berharga kanggo **ngoptimasi Redis throughput**, prihatin praktis umum nalika aplikasi ngeluarake pirang-pirang perintah Redis.

Wawasane kunci yaiku Redis iku cepet banget nganti **latency round-trip jaringan, ora pemrosesan Redis, asring dadi bottleneck** nalika nindakake pirang-pirang operasi — request-reply round-trip saben perintah nambah latency jaringan, dadi 1000 perintah sekuensial bisa ngingi akeh wektu mung ngenteni ing jaringan. **Pipelining** ngrampungake iki kanthi batch-an pirang-pirang perintah dadi kira-kira siji round-trip (ngirim kabehe, banjur maca kabeh jawabane babarengan), asring ngalangi ratusan milidetik dadi sawetara — speedup dramatis lan asring nduwe dampak gedhe kanggo operasi bulk kaya batch reads/writes, cache warming, lan bulk processing.

Paham **bedane karo transactions** penting: pipelining murni batching jaringan kanggo throughput lan **ora atomic** (perintah klien liya bisa nyela), dene `MULTI`/`EXEC` nyedhiyake atomicity — tujuan beda-beda sing kadhangkala bingung, lan nggunakake sing bener kuwi penting.

Ngerti **kapan nggunaake** (pirang-pirang perintah mandiri ngendi latency ngedominasi) lan kapan ora (perintah tunggal, utawa nalika saben perintah gumantung ing jawaban sebelum, utawa batch-an terlalu akeh sakaligus lan ngabisin memori kanggo buffered replies) nggambarake pertimbangan praktis sing apik.

Amarga ngeluarake pirang-pirang perintah Redis iku umum lan latency jaringan asring ngedominasi, lan amarga pipelining iku teknik standar lan sangat efektif kanggo batch-an iki kanthi efisien (beda saka transactions), paham pipelining — masalah latency sing ditanggulangi, carane bisa, bedane saka mekanisme atomicity, lan kapan ngaplakasiake — iku pengetahuan Redis berharga lan relevan praktis kanggo membangun aplikasi yang performan nginteraksi berat karo Redis.