Whitepaper kinerja TairRoaring - Tair (Redis® OSS-Compatible)

TairRoaring adalah implementasi Roaring bitmap di Tair. TairRoaring menyediakan kinerja komputasi yang kuat dan stabil, meningkatkan kecepatan query sambil menggunakan sejumlah kecil memori.

TairRoaring ditingkatkan dari Roaring bitmaps dalam aspek berikut:

TairRoaring mencapai keseimbangan antara kinerja dan kompleksitas ruang dalam berbagai skenario melalui penggunaan indeks dua tingkat dan kontainer dinamis.
TairRoaring menggunakan teknik optimasi seperti single instruction, multiple data (SIMD), vektorisasi, dan algoritma popcount untuk meningkatkan efisiensi komputasi serta memberikan kompleksitas waktu dan ruang yang efisien.
TairRoaring memanfaatkan kinerja komputasi yang kuat dan stabilitas tinggi dari Tair untuk mendukung skenario bisnis.

Catatan

Untuk informasi lebih lanjut tentang TairRoaring, lihat TairRoaring.

Alat uji

Alat uji yang disediakan dalam topik ini dikembangkan menggunakan bahasa pemrograman Go dan mirip dengan utilitas redis-benchmark. Alat ini mudah digunakan dan dimodifikasi serta dapat menghasilkan dua nilai acak untuk membantu membuat contoh uji dan menampilkan hasil sebagai histogram. Untuk informasi lebih lanjut, lihat TairRoaring Test Tool.

Penggunaan:

Usage of ./redis:
  -a string         Kata sandi akun yang digunakan untuk masuk ke instance. Format kata sandi: <user>:<password>.
  -batching int     Mode pipeline. Parameter ini juga menetapkan jumlah perintah individual yang terkandung dalam setiap pipeline. Mode pipeline menggabungkan perintah MULTI dan EXEC. Sebagai contoh, -batching 10 menunjukkan bahwa ada 10 perintah antara perintah MULTI dan EXEC.
  -c int            Jumlah tes yang dijalankan. Parameter ini mengabaikan durasi tes (-d).
  -command string   Perintah tes. Anda dapat menambahkan bidang __RAND__ dan __RAND2__ ke akhiran perintah atau parameter. Bidang tersebut akan berlaku dan menjadi nilai acak hanya ketika ditambahkan ke akhiran perintah atau parameter. Perintah default: TR.GETBIT foo-__RAND__.
  -d int            Durasi tes. Unit: detik. Nilai default: 30.
  -h string         Titik akhir yang digunakan untuk terhubung ke instance. Nilai default: 127.0.0.1.
  -p int            Jumlah tes yang dapat dijalankan secara bersamaan. Nilai default: 4.
  -port int         Nomor port instance. Nilai default: 6379.
  -r int            Rentang nilai acak 1. Nilai default: 100000000.
  -r2 int           Rentang nilai acak 2. Nilai default: 100000000.

Contoh Perintah:

# Jalankan perintah TR.SETBIT. Tetapkan kunci ke angka acak yang kurang dari 100000 dan bidang ke angka acak yang kurang dari 10000000.
./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 100000 -r2 10000000 -command "TR.SETBIT foo-__RAND__ bar-__RAND2__" -p 20 -c 1

Metode pengujian dan hasil untuk arsitektur standar

Instance yang digunakan adalah instance DRAM berbasis 16 GB Tair (Enterprise Edition) dengan arsitektur standar. Latensi jaringan kurang dari 0,1 milidetik.

Pengujian untuk satu kunci

Pengujian Kinerja

Menulis data ke satu kunci secara bersamaan untuk mendapatkan nilai maksimum permintaan per detik (QPS).

Pengujian Perintah Baca

Jalankan perintah berikut: TR.GETBIT, TR.GETBITS, TR.RANGE, TR.SCAN, dan TR.RANK. Contoh perintah:

./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 100000 -r2 10000000 -command "TR.GETBIT foo-__RAND__ bar-__RAND2__" -p 20 -c 1

Hasil Pengujian:

Perintah	Jumlah kunci yang terlibat	Jumlah catatan data yang terlibat	Rentang parameter	Nilai referensi QPS	Latensi rata-rata (ms)
TR.GETBIT	1	1	1~10000000	255000	0,21
TR.GETBITS	1	100	1~10000000	54000	0,97
TR.RANK	1	1	1~10000000	161000	0,24
TR.RANGE	1	100	0~100	129000	0,46
TR.SCAN	1	100	1~10000000	130000	0,38

Pengujian Perintah Tulis

Jalankan perintah berikut: TR.SETBIT, TR.SETBITS, TR.APPENDBITARRAY, TR.SETRANGE, dan TR.FLIPRANGE. Contoh perintah:

./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 100000 -r2 10000000 -command "TR.SETBIT foo-__RAND__ bar-__RAND2__" -p 20 -c 1

Hasil Pengujian:

Perintah	Jumlah kunci yang terlibat	Jumlah catatan data yang terlibat	Rentang parameter	Nilai referensi QPS	Latensi rata-rata (ms)
TR.SETBIT	1	1	1~10000000	145000	0,37
TR.SETBITS	1	100	1~10000000	22000	0,71
TR.SETBITS (terurut)	1	100 (Nilai offset maksimum bit adalah 2^32.)	1~6000	28000	0,66
TR.APPENDBITARRAY	1	1000 (Setengah dari bit memiliki nilai 1.)	1~10000000	10000	0,38
TR.SETRANGE	1	-	1000	130000	0,3
TR.FLIPRANGE	1	-	1~10000000	100000	0,46

Pengujian Pipeline
Gunakan ukuran batch yang berbeda untuk menguji kinerja perintah dalam mode pipeline.
- TR.SETBIT
  Contoh perintah:
```
./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 10000000 -command "TR.SETBIT foo-__RAND__ 1" -batching 10 -p 20 -c 1
```
  paralel
  batching
  Bit per detik
  Latensi rata-rata (ms)
  20
  10
  460000
  0,42
  10
  50
  665000
  0,72
  6
  100
  660000
  0,85
  3
  200
  680000
  0,79
  3
  500
  681500
  1,96
  2
  100
  658000
  2,6
- TR.GETBIT
  Contoh perintah:
```
./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 100000 -r2 10000000 -command "TR.GETBIT foo-__RAND__ __RAND2__" -batching 10 -p 20 -c 1
```
  Catatan
  Jika kunci yang ditentukan oleh foo-__RAND__ tidak ada, kunci tersebut dianggap sebagai kunci kosong. Oleh karena itu, Anda harus menulis data ke kunci terlebih dahulu untuk tujuan pengujian.
  paralel
  batching
  Bit per detik
  Latensi rata-rata (ms)
  20
  10
  572700
  0,34
  10
  50
  725900
  0,65
  7
  100
  772000
  0,85
  7
  200
  788800
  1,67
  5
  500
  746000
  3,1
  2
  100
  770000
  2,1

Pengujian Memori

Jalankan perintah TR.STAT beberapa kali untuk menganalisis distribusi bit dalam sebuah kunci. Kapasitas kunci yang berbeda digunakan. Contoh perintah:

 TR.STAT foo JSON

Skenario Data Jarang
Data jarang menunjukkan bit yang didistribusikan secara jarang dengan kepadatan kurang dari 6,25%. Dalam skenario ini, kunci sebagian besar berisi kontainer array. Kapasitas kunci dapat dihitung menggunakan rumus berikut: Kapasitas kunci = Kardinalitas kunci × 2 byte.
kardinalitas
rle-c
array-c
bitset-c
heap mem (byte)
37700484
-
65536
-
75400968
75011384
-
65536
-
150022768
100403264
-
65536
-
200806528
163090592
-
65536
-
326181184

Skenario Data Acak

Dalam skenario ini, kunci sebagian besar berisi kontainer bitset. Sistem mengonversi kontainer array menjadi kontainer bitset ketika kontainer array memiliki lebih dari 4.096 elemen.

kardinalitas	rle-c	array-c	bitset-c	heap mem (byte)
253104088	-	65534	2	506208102
261169659	-	63273	2263	522227634
267974804	-	35932	29604	533159296
273694253	-	6607	58929	536491922
343504134	-	0	65536	536870912
535589835	-	0	65536	536870912

Skenario Bit Acak Berturut-turut
Dalam skenario ini, kapasitas penyimpanan sangat terkait dengan distribusi bit. Akibatnya, pengujian yang dilakukan dalam skenario ini memiliki sedikit nilai.

Pengujian untuk beberapa kunci

Pengujian Penulisan

Uji kinerja mesin saat data ditulis ke beberapa kunci secara bersamaan. TR.SETBITS membuat 100 bit acak setiap kali. Contoh perintah:

./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 10000000 -r2 100000 -command "TR.SETBITS foo-__RAND2__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ 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__RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __RAND__ __<table><colgroup></colgroup><colgroup></colgroup><colgroup></colgroup><colgroup></colgroup><tbody><tr><td colspan="1" id="task_2213193__entry_hih_y9q_qgu" rowspan="1" style="background-color:#e5e5e5"><p></p></td><td colspan="1" id="task_2213193__entry_qx0_d93_me1" rowspan="1" style="background-color:#e5e5e5"><p></p></td><td colspan="1" id="task_2213193__entry_grc_8x5_i2v" rowspan="1" style="background-color:#e5e5e5"><p></p></td><td colspan="1" id="task_2213193__entry_biv_wnc_83l" rowspan="1" style="background-color:#e5e5e5"><p></p></td></tr><tr><td colspan="1" id="entry_s4a_piz_95o" rowspan="1"><p>TR.SETBIT</p></td><td colspan="1" id="entry_b1m_zsu_98e" rowspan="1"><p>1</p></td><td colspan="1" id="entry_zan_adb_45s" rowspan="1"><p>91003</p></td><td colspan="1" id="entry_x12_96f_ucv" rowspan="1"><p>0,43</p></td></tr><tr><td colspan="1" id="entry_vmp_smh_ew6" rowspan="1"><p>TR.SETBITS</p></td><td colspan="1" id="entry_zws_bbk_12c" rowspan="1"><p>100</p></td><td colspan="1" id="entry_0v5_45k_ims" rowspan="1"><p>15127</p></td><td colspan="1" id="entry_bbc_5x3_esg" rowspan="1"><p>0,96</p></td></tr><tr><td colspan="1" id="entry_6ey_fbd_3ew" rowspan="1"><p>TR.GETBIT</p></td><td colspan="1" id="entry_trp_gfk_mnx" rowspan="1"><p>1</p></td><td colspan="1" id="entry_11n_mvt_z1l" rowspan="1"><p>154941</p></td><td colspan="1" id="entry_u5m_bfn_qt8" rowspan="1"><p>0,32</p></td></tr><tr><td colspan="1" id="entry_2d8_fbi_cgp" rowspan="1"><p>TR.GETBITS</p></td><td colspan="1" id="entry_rym_2j0_aut" rowspan="1"><p>100</p></td><td colspan="1" id="entry_h2z_tys_cpl" rowspan="1"><p>40166</p></td><td colspan="1" id="entry_r3u_2f9_2uf" rowspan="1"><p>1,08</p></td></tr><tr><td colspan="1" id="entry_f7j_aga_rab" rowspan="1"><p>TR.SCAN</p></td><td colspan="1" id="entry_95x_2dh_h7x" rowspan="1"><p>100</p></td><td colspan="1" id="entry_jeq_f7o_uvi" rowspan="1"><p>104637</p></td><td colspan="1" id="entry_hnj_8qd_eoy" rowspan="1"><p>0,47</p></td></tr><tr><td colspan="1" id="entry_884_r3h_dmz" rowspan="1"><p>TR.RANK</p></td><td colspan="1" id="entry_8l9_tn6_ex1" rowspan="1"><p>-</p></td><td colspan="1" id="entry_zfm_vgy_mg4" rowspan="1"><p>151161</p></td><td colspan="1" id="entry_ir4_aag_dod" rowspan="1"><p>0,32</p></td></tr></tbody></table><p><img/></p></li><li><p>Pengujian untuk operasi bitwise</p><ul><li><p>TR.BITOP</p><p>Perintah ini melakukan operasi bitwise pada beberapa kunci dan menyimpan hasilnya dalam kunci baru. Operasi bitwise AND, OR, NOT, DIFF, dan XOR didukung.</p><div><p>Perintah contoh:</p><code code-type="xCode" data-tag="codeblock" id="codeblock_yhk_r0l_hpc" outputclass="language-plaintext">./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 100000 -r2 10000000 -command "TR.BITOP dest-__RAND__ AND foo-__RAND__ foo-__RAND__" -p 3 -c 1

Perintah	BIDANG/RENTANG	Nilai referensi QPS	Latensi rata-rata (ms)
TR.SETBIT	1	91003	0,43
TR.SETBITS	100	15.127	0,96
TR.GETBIT	1	154.941	0,32
TR.GETBITS	100	40.166	1,08
TR.SCAN	100	104.637	0,47
TR.RANK	-	151.161	0,32

TairRoaring性能测试-5

Pengujian Operasi Bitwise
- TR.BITOP
  Perintah ini melakukan operasi bitwise pada beberapa kunci dan menyimpan hasilnya dalam kunci baru. Operasi bitwise yang didukung adalah AND, OR, NOT, DIFF, dan XOR.
  Contoh perintah:
```
./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 100000 -r2 10000000 -command "TR.BITOP dest-__RAND__ AND foo-__RAND__ foo-__RAND__" -p 3 -c 1
```
  Operasi bitwise
  Paralel
  Nilai referensi QPS
  Latensi rata-rata (ms)
  AND
  3
  940
  3,18
  OR
  2
  595
  3,45
  XOR
  2
  551
  3,61
  DIFF
  3
  3.577
  0,83
  NOT
  1
  1.281
  0,77
- TR.BITOPCARD
  Perintah ini melakukan operasi bitwise pada beberapa kunci dan mengembalikan jumlah bit yang bernilai 1. Operasi bitwise yang didukung adalah AND, OR, NOT, DIFF, dan XOR.
  Contoh perintah:
```
./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 100000 -r2 10000000 -command "TR.BITOPCARD AND foo-__RAND__ foo-__RAND__" -p 2 -c 1
```
  Operasi bitwise
  Paralel
  Nilai referensi QPS
  Latensi rata-rata (ms)
  AND
  2
  971
  2,05
  OR
  2
  609
  3,27
  XOR
  2
  572
  3,48
  DIFF
  2
  4.290
  0,46
  NOT
  2
  3.577
  0,55

Metode pengujian dan hasil untuk arsitektur kluster

Uji kinerja empat instance berbasis DRAM yang menggunakan arsitektur kluster. Instance tersebut memiliki jumlah shard yang berbeda. Setiap shard berukuran 4 GB. Berikut adalah spesifikasi instance:

Instance Kluster 8 GB (2 shard)
Instance Kluster 16 GB (4 shard)
Instance Kluster 32 GB (8 shard)
Instance Kluster 64 GB (16 shard)

Untuk mencegah gangguan jaringan, tingkatkan bandwidth semua instance ke maksimum 2.048 Mbit/s. Sebarkan klien yang digunakan dalam pengujian di zona tempat instance berada dan gunakan titik akhir proxy untuk mengakses instance. Jalankan perintah berbeda yang melibatkan satu kunci untuk mendapatkan nilai QPS rata-rata dari instance.

Jalankan perintah berikut: TR.GITBIT, TR.GITBITS, TR.SETBIT, dan TR.SETBITS. Contoh perintah:

./redis -h r-**********0d7f.redis.zhangbei.rds.aliyuncs.com -a user:password -d 30 -r 100000 -r2 10000000 -command "TR.SETBIT foo-__RAND__ bar-__RAND2__" -p 20 -c 1

Hasil Pengujian:

Perintah	Nilai QPS (instance kluster DRAM dengan dua shard)	Nilai QPS (instance kluster DRAM dengan empat shard)	Nilai QPS (instance kluster DRAM dengan delapan shard)	Nilai QPS (instance kluster DRAM dengan 16 shard)
TR.GITBIT	590742	567738	569610	555178
TR.GITBITS	53900	91991	172969	229214
TR.SETBIT	316753	530367	577406	558301
TR.SETBITS	31917	57843	116614	160891

TairRoaring性能测试-9

paralel	batching	Bit per detik	Latensi rata-rata (ms)
20	10	460000	0,42
10	50	665000	0,72
6	100	660000	0,85
3	200	680000	0,79
3	500	681500	1,96
2	100	658000	2,6

Operasi bitwise	Paralel	Nilai referensi QPS	Latensi rata-rata (ms)
AND	3	940	3,18
OR	2	595	3,45
XOR	2	551	3,61
DIFF	3	3.577	0,83
NOT	1	1.281	0,77