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Conditionally force sequential reading in LuceneSyntheticSourceChangesSnapshot #128473
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Conditionally force sequential reading in LuceneSyntheticSourceChangesSnapshot #128473
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…ng when index.code is best_compression. In CCR benchmarks I see that sometimes we spend a lot of time compressing the same stored field block over and over again when the doc ids are not dense. It is likely when a seqno range is requested that the corresponding doc id list contains gaps. For example: [34, 35, 36, 37, 38, 39, 40, 313, 314, 315, 316, 317, 595, 596, 597, 598, 599, 600, 601, 898, 899, 900, 901, 902, 903] Or: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532] I think it makes sense to do sequential reading in these cases, given that many of the docids are consecutive ranges.
Benchmarking this change using the elastic/logs track with ccr enabled shows a good improvement with ccr: https://esbench-metrics.kb.us-east-2.aws.elastic-cloud.com:9243/app/dashboards#/view/6c61280a-bd58-4c3a-8591-f56ec221c4f2?_g=h@c67153a |
…gesSnapshot_forceSequentialReader
Hi @martijnvg, I've created a changelog YAML for you. |
Pinging @elastic/es-storage-engine (Team:StorageEngine) |
Pinging @elastic/es-distributed-indexing (Team:Distributed Indexing) |
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LGTM
The |
…sSnapshot (elastic#128473) Change LuceneSyntheticSourceChangesSnapshot to force sequential stored field reading when index.code is best_compression. In CCR benchmarks I see that relatively often we spend a lot of time compressing the same stored field block over and over again when the doc ids are not dense. It is likely when a seqno range is requested that the corresponding doc id list contains gaps. However most docids are monotonically increasing, so not sequential reading harms performance. The reason that currently we're not loading sequentially is because of the logic in `StoredFieldLoader#hasSequentialDocs(...)`, which requires all requested docids to be in monotonically order (no gaps allowed). In the case of `LuceneSyntheticSourceChangesSnapshot` with stored field best compression that is too conservative. In practice, we end decompressing stored field blocks for each docid we need to synthetisize source for recovery. I think it makes sense to do sequential reading in this case, given that it is very likely that many of the requested doc id ranges will contain monotonically increasing ranges. Note that the requested docids will always sort in ascending order (this happens in `LuceneSyntheticSourceChangesSnapshot#transformScoreDocsToRecords(...)`.
💚 Backport successful
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…sSnapshot (#128473) (#128505) Change LuceneSyntheticSourceChangesSnapshot to force sequential stored field reading when index.code is best_compression. In CCR benchmarks I see that relatively often we spend a lot of time compressing the same stored field block over and over again when the doc ids are not dense. It is likely when a seqno range is requested that the corresponding doc id list contains gaps. However most docids are monotonically increasing, so not sequential reading harms performance. The reason that currently we're not loading sequentially is because of the logic in `StoredFieldLoader#hasSequentialDocs(...)`, which requires all requested docids to be in monotonically order (no gaps allowed). In the case of `LuceneSyntheticSourceChangesSnapshot` with stored field best compression that is too conservative. In practice, we end decompressing stored field blocks for each docid we need to synthetisize source for recovery. I think it makes sense to do sequential reading in this case, given that it is very likely that many of the requested doc id ranges will contain monotonically increasing ranges. Note that the requested docids will always sort in ascending order (this happens in `LuceneSyntheticSourceChangesSnapshot#transformScoreDocsToRecords(...)`.
Change LuceneSyntheticSourceChangesSnapshot to force sequential stored field reading when index.code is best_compression.
In CCR benchmarks I see that relatively often we spend a lot of time compressing the same stored field block over and over again when the doc ids are not dense. It is likely when a seqno range is requested that the corresponding doc id list contains gaps. However most docids are monotonically increasing, so not sequential reading harms performance. The reason that currently we're not loading sequentially is because of the logic in
StoredFieldLoader#hasSequentialDocs(...)
, which requires all requested docids to be in monotonically order (no gaps allowed). In the case ofLuceneSyntheticSourceChangesSnapshot
with stored field best compression that is too conservative.For example: [34, 35, 36, 37, 38, 39, 40, 313, 314, 315, 316, 317, 595, 596, 597, 598, 599, 600, 601, 898, 899, 900, 901, 902, 903]
Or: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298, 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311, 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324, 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337, 338, 339, 340, 341, 342, 343, 356, 357, 358, 359, 360, 361, 362, 363, 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376, 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389, 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402, 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415, 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428, 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441, 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454, 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467, 468, 469, 470, 471, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493, 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506, 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519, 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532]
(gap is after 471)
In these cases we decompress an entire stored field block for each docid. This then results in the following cpu flame graph:
Full flame graph: baseline3_cpu_profile_10.html.zip
I think it makes sense to do sequential reading in this case, given that it is very likely that many of the requested doc id ranges will contain monotonically increasing ranges. Note that the requested docids will always sort in ascending order (this happens in
LuceneSyntheticSourceChangesSnapshot#transformScoreDocsToRecords(...)
.