䞊å
䞊åãããã¯ã¯Simã®ã³ã³ãããããã¯ã§ãè€æ°ã®ãããã¯ã€ã³ã¹ã¿ã³ã¹ãåæã«å®è¡ããã¯ãŒã¯ãããŒã®åŠçãé«éåããããšãã§ããŸãã
䞊åãããã¯ã¯2çš®é¡ã®åæå®è¡ããµããŒãããŠããŸãïŒ
䞊åãããã¯ã¯ã³ã³ãã³ããè€æ°ååæã«å®è¡ããã³ã³ããããŒãã§ãããé æ¬¡å®è¡ããã«ãŒããšã¯ç°ãªããŸãã
æŠèŠ
䞊åãããã¯ã§ã¯ä»¥äžã®ããšãå¯èœã§ãïŒ
äœæ¥ã®åæ£ïŒè€æ°ã®é ç®ãåæã«åŠç
å®è¡ã®é«éåïŒç¬ç«ããæäœãåæã«å®è¡
äžæ¬æäœã®åŠçïŒå€§èŠæš¡ãªããŒã¿ã»ãããå¹ççã«åŠç
çµæã®éçŽïŒãã¹ãŠã®äžŠåå®è¡ããã®åºåãåé
èšå®ãªãã·ã§ã³
䞊åã¿ã€ã
2çš®é¡ã®äžŠåå®è¡ããéžæã§ããŸãïŒ
ã«ãŠã³ãããŒã¹ã®äžŠååŠç - åºå®æ°ã®äžŠåã€ã³ã¹ã¿ã³ã¹ãå®è¡ããŸãïŒ

åãæäœãè€æ°ååæã«å®è¡ããå¿ èŠãããå Žåã«äœ¿çšããŸãã
Example: Run 5 parallel instances
- Instance 1 â
- Instance 2 ââ All execute simultaneously
- Instance 3 â
- Instance 4 â
- Instance 5 â
ã³ã¬ã¯ã·ã§ã³ããŒã¹ã®äžŠååŠç - ã³ã¬ã¯ã·ã§ã³ã䞊åã€ã³ã¹ã¿ã³ã¹éã§åæ£ããŸãïŒ

åã€ã³ã¹ã¿ã³ã¹ã¯ã³ã¬ã¯ã·ã§ã³ãã1ã€ã®é ç®ãåæã«åŠçããŸãã
Example: Process ["task1", "task2", "task3"] in parallel
- Instance 1: Process "task1" â
- Instance 2: Process "task2" ââ All execute simultaneously
- Instance 3: Process "task3" â
䞊åãããã¯ã®äœ¿ç𿹿³
䞊åãããã¯ã®äœæ
- ããŒã«ããŒãã䞊åãããã¯ããã£ã³ãã¹ã«ãã©ãã°ããŸã
- 䞊åã¿ã€ããšãã©ã¡ãŒã¿ãèšå®ããŸã
- 䞊åã³ã³ããå ã«åäžã®ãããã¯ããã©ãã°ããŸã
- å¿ èŠã«å¿ããŠãããã¯ãæ¥ç¶ããŸã
çµæãžã®ã¢ã¯ã»ã¹
䞊åãããã¯ãå®äºããåŸãéèšãããçµæã«ã¢ã¯ã»ã¹ã§ããŸãïŒ
<parallel.results>
: ãã¹ãŠã®äžŠåã€ã³ã¹ã¿ã³ã¹ããã®çµæã®é å
䜿çšäŸ
ãããAPIåŠç
ã·ããªãªïŒè€æ°ã®APIã³ãŒã«ãåæã«åŠçãã
- APIãšã³ããã€ã³ãã®ã³ã¬ã¯ã·ã§ã³ãæã€äžŠåãããã¯
- 䞊åå éšïŒAPIãããã¯ãåãšã³ããã€ã³ããåŒã³åºã
- 䞊ååŸïŒãã¹ãŠã®ã¬ã¹ãã³ã¹ããŸãšããŠåŠç
ãã«ãã¢ãã«AIåŠç
ã·ããªãªïŒè€æ°ã®AIã¢ãã«ããã¬ã¹ãã³ã¹ãååŸãã
- ã¢ãã«IDã®ãªã¹ãïŒäŸïŒ["gpt-4o", "claude-3.7-sonnet", "gemini-2.5-pro"]ïŒã«å¯Ÿããã³ã¬ã¯ã·ã§ã³ããŒã¹ã®äžŠååŠç
- 䞊åå éšïŒãšãŒãžã§ã³ãã®ã¢ãã«ãã³ã¬ã¯ã·ã§ã³ã®çŸåšã®ã¢ã€ãã ã«èšå®ããã
- 䞊ååŸïŒæé©ãªåçãæ¯èŒããŠéžæ
é«åºŠãªæ©èœ
çµæã®éçŽ
ãã¹ãŠã®äžŠåã€ã³ã¹ã¿ã³ã¹ããã®çµæã¯èªåçã«åéãããŸãïŒ
// In a Function block after the parallel
const allResults = input.parallel.results;
// Returns: [result1, result2, result3, ...]
ã€ã³ã¹ã¿ã³ã¹ã®åé¢
å䞊åã€ã³ã¹ã¿ã³ã¹ã¯ç¬ç«ããŠå®è¡ãããŸãïŒ
- åå¥ã®å€æ°ã¹ã³ãŒã
- ã€ã³ã¹ã¿ã³ã¹éã§å ±æãããç¶æ ãªã
- äžã€ã®ã€ã³ã¹ã¿ã³ã¹ã®å€±æãä»ã«åœ±é¿ããªã
å¶éäºé
ã³ã³ãããããã¯ïŒã«ãŒããšäžŠåïŒã¯äºãã«ãã¹ãã§ããŸãããã€ãŸãïŒ
- 䞊åãããã¯å ã«ã«ãŒããããã¯ãé 眮ã§ããŸãã
- 䞊åãããã¯å ã«å¥ã®äžŠåãããã¯ãé 眮ã§ããŸãã
- ã©ã®ã³ã³ãããããã¯å ã«ãå¥ã®ã³ã³ãããããã¯ãé 眮ã§ããŸãã
䞊åãããã¯ã«ã¯åäžã®ãããã¯ããå«ããããšãã§ããŸããã䞊åå ã§è€æ°ã®ãããã¯ãäºãã«æ¥ç¶ããããšã¯ã§ããŸãã - ãã®å Žåãæåã®ãããã¯ã®ã¿ãå®è¡ãããŸãã
䞊åå®è¡ã¯é«éã§ããã以äžã®ç¹ã«æ³šæããŠãã ããïŒ
- åæãªã¯ãšã¹ãæã®APIã¬ãŒãå¶é
- å€§èŠæš¡ããŒã¿ã»ããäœ¿çšæã®ã¡ã¢ãªäœ¿çšé
- ãªãœãŒã¹æ¯æžãé²ãããã®æå€§20ã®åæã€ã³ã¹ã¿ã³ã¹
䞊ååŠç vs ã«ãŒãåŠç
ããããã®äœ¿çšã¿ã€ãã³ã°ãçè§£ããïŒ
æ©èœ | 䞊ååŠç | ã«ãŒãåŠç |
---|---|---|
å®è¡æ¹æ³ | åæå®è¡ | é æ¬¡å®è¡ |
é床 | ç¬ç«ããæäœã§ã¯é«é | é ããé åºãä¿æ |
é åº | é åºä¿èšŒãªã | é åºãç¶æ |
ãŠãŒã¹ã±ãŒã¹ | ç¬ç«ããæäœ | äŸåé¢ä¿ã®ããæäœ |
ãªãœãŒã¹äœ¿çšé | é«ã | äœã |
å ¥åãšåºå
䞊åã¿ã€ãïŒãcountããŸãã¯ãcollectionãããéžæ
ã«ãŠã³ãïŒå®è¡ããã€ã³ã¹ã¿ã³ã¹æ°ïŒã«ãŠã³ãããŒã¹ïŒ
ã³ã¬ã¯ã·ã§ã³ïŒåæ£ããé åãŸãã¯ãªããžã§ã¯ãïŒã³ã¬ã¯ã·ã§ã³ããŒã¹ïŒ
parallel.currentItemïŒãã®ã€ã³ã¹ã¿ã³ã¹ã®ã¢ã€ãã
parallel.indexïŒã€ã³ã¹ã¿ã³ã¹çªå·ïŒ0ããå§ãŸãïŒ
parallel.itemsïŒå®å šãªã³ã¬ã¯ã·ã§ã³ïŒã³ã¬ã¯ã·ã§ã³ããŒã¹ïŒ
parallel.resultsïŒãã¹ãŠã®ã€ã³ã¹ã¿ã³ã¹çµæã®é å
ã¢ã¯ã»ã¹ïŒäžŠååŠçåŸã®ãããã¯ã§å©çšå¯èœ
ãã¹ããã©ã¯ãã£ã¹
- ç¬ç«ããæäœã®ã¿ïŒæäœãäºãã«äŸåããªãããã«ãã
- ã¬ãŒãå¶éã®åŠçïŒAPIãå€çšããã¯ãŒã¯ãããŒã«ã¯é å»¶ãã¹ããããªã³ã°ã远å
- ãšã©ãŒåŠçïŒåã€ã³ã¹ã¿ã³ã¹ã¯èªèº«ã®ãšã©ãŒãé©åã«åŠçãã¹ã