Store ID in doc values for ~40% faster queries

[alexklibisz]

#102, as described in this discussion: elastic/elasticsearch#17159 (comment).
This removes the LZ4.decompress() hotspot and reduces the L2 LSH benchmark from ~10 seconds to ~6.5 seconds (on my laptop).
Possibly also resolves #95. Need to revisit that one to see if the decompress calls were actually decompressing vectors or the doc body.

Specific changes to scala client:

• Stores document ID in a doc-values field.
• Retrieves the ID from the doc-values field, and not the typical document ID.
• Uses a custom response handler to copy the ID value into its regular position in the elastic4s SearchHit case class, so users don't need to find it in the weakly-typed .fields map.
• Better comments and more consistent naming conventions.

[github-actions]

Benchmark Results

• Commit: 4e7399a3150024aaec115b3b871ce5f9cc9224af
• Github Workflow: 160000358

dataset	similarity	algorithm	k	recallP10	durationP10	recallP50	durationP50	recallP90	durationP90	mapping	query
Random1000d50K1K	Angular	Exact	100	1.0	168.005	1.0	188.0	1.0	200.0	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"angular","vec":{},"model":"exact"}
Random1000d50K1K	Angular	LSH	100	0.15	94.004	0.16005	108.015	0.18	113.018	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"angular","dims":1000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"angular","model":"lsh"}
Random1000d50K1K	L2	Exact	100	1.0	116.003	1.0	134.0	1.0	145.0	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"l2","vec":{},"model":"exact"}
Random1000d50K1K	L2	LSH	100	0.01	13.0	0.01005	15.0	0.02	16.0	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"l2","dims":1000,"bands":400,"rows":1,"width":3}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"l2","model":"lsh"}
Random3000d50K1K	Jaccard	Exact	100	1.0	444.011	1.0	470.005	1.0	485.045	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"dims":3000}}	{"field":"vec","similarity":"jaccard","vec":{},"model":"exact"}
Random3000d50K1K	Jaccard	LSH	100	0.24004	42.007	0.29005	50.005	0.30009	53.0	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"model":"lsh","similarity":"jaccard","dims":3000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"jaccard","model":"lsh"}

[github-actions]

Benchmark Results

• Commit: 7ee3ce9a4f6af941330aa7154e7c36380e9d5342
• Github Workflow: 160006846

dataset	similarity	algorithm	k	recallP10	durationP10	recallP50	durationP50	recallP90	durationP90	mapping	query
Random1000d50K1K	Angular	Exact	100	1.0	113.038	1.0	164.005	1.0	169.045	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"angular","vec":{},"model":"exact"}
Random1000d50K1K	Angular	LSH	100	0.15	100.004	0.16005	111.0	0.18	115.009	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"angular","dims":1000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"angular","model":"lsh"}
Random1000d50K1K	L2	Exact	100	1.0	84.022	1.0	120.01	1.0	125.036	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"l2","vec":{},"model":"exact"}
Random1000d50K1K	L2	LSH	100	0.01	14.0	0.01005	16.0	0.02	17.0	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"l2","dims":1000,"bands":400,"rows":1,"width":3}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"l2","model":"lsh"}
Random3000d50K1K	Jaccard	Exact	100	1.0	383.005	1.0	392.02	1.0	402.018	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"dims":3000}}	{"field":"vec","similarity":"jaccard","vec":{},"model":"exact"}
Random3000d50K1K	Jaccard	LSH	100	0.24004	47.001	0.29005	50.005	0.30009	51.0	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"model":"lsh","similarity":"jaccard","dims":3000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"jaccard","model":"lsh"}

[github-actions]

Benchmark Results

• Commit: e1b4ff6deffc12ce662c146a6cb7a5e17385d455
• Github Workflow: 160037063

dataset	similarity	algorithm	k	recallP10	durationP10	recallP50	durationP50	recallP90	durationP90	mapping	query
Random1000d50K1K	Angular	Exact	100	1.0	108.032	1.0	142.055	1.0	155.009	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"angular","vec":{},"model":"exact"}
Random1000d50K1K	Angular	LSH	100	0.15	99.001	0.16005	105.0	0.18	106.0	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"angular","dims":1000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"angular","model":"lsh"}
Random1000d50K1K	L2	Exact	100	1.0	100.005	1.0	118.0	1.0	119.027	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"l2","vec":{},"model":"exact"}
Random1000d50K1K	L2	LSH	100	0.01	12.0	0.01005	13.0	0.02	13.0	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"l2","dims":1000,"bands":400,"rows":1,"width":3}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"l2","model":"lsh"}
Random3000d50K1K	Jaccard	Exact	100	1.0	320.034	1.0	377.02	1.0	386.027	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"dims":3000}}	{"field":"vec","similarity":"jaccard","vec":{},"model":"exact"}
Random3000d50K1K	Jaccard	LSH	100	0.24004	39.0	0.29005	45.0	0.30009	46.018	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"model":"lsh","similarity":"jaccard","dims":3000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"jaccard","model":"lsh"}

[github-actions]

Benchmark Results

• Commit: 28e1ccc1f3899480bd52586975b602eef9d5db41
• Github Workflow: 160045600

dataset	similarity	algorithm	k	recallP10	durationP10	recallP50	durationP50	recallP90	durationP90	mapping	query
Random1000d50K1K	Angular	Exact	100	1.0	173.013	1.0	198.005	1.0	212.018	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"angular","vec":{},"model":"exact"}
Random1000d50K1K	Angular	LSH	100	0.15	91.003	0.16005	111.005	0.18	117.009	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"angular","dims":1000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"angular","model":"lsh"}
Random1000d50K1K	L2	Exact	100	1.0	111.032	1.0	145.0	1.0	147.018	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"l2","vec":{},"model":"exact"}
Random1000d50K1K	L2	LSH	100	0.01	13.0	0.01005	15.005	0.02	16.009	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"l2","dims":1000,"bands":400,"rows":1,"width":3}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"l2","model":"lsh"}
Random3000d50K1K	Jaccard	Exact	100	1.0	421.01	1.0	475.015	1.0	485.009	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"dims":3000}}	{"field":"vec","similarity":"jaccard","vec":{},"model":"exact"}
Random3000d50K1K	Jaccard	LSH	100	0.24004	42.003	0.29005	49.005	0.30009	51.009	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"model":"lsh","similarity":"jaccard","dims":3000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"jaccard","model":"lsh"}

[github-actions]

Benchmark Results

• Commit: 4ad1a67a9ad704d5fbcfca277ca6b6ec969878f3
• Github Workflow: 160052198

dataset	similarity	algorithm	k	recallP10	durationP10	recallP50	durationP50	recallP90	durationP90	mapping	query
Random1000d50K1K	Angular	Exact	100	1.0	143.016	1.0	164.01	1.0	169.009	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"angular","vec":{},"model":"exact"}
Random1000d50K1K	Angular	LSH	100	0.15	82.018	0.16005	105.005	0.18	109.0	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"angular","dims":1000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"angular","model":"lsh"}
Random1000d50K1K	L2	Exact	100	1.0	93.006	1.0	115.005	1.0	118.018	{"type":"elastiknn_dense_float_vector","elastiknn":{"dims":1000}}	{"field":"vec","similarity":"l2","vec":{},"model":"exact"}
Random1000d50K1K	L2	LSH	100	0.01	13.0	0.01005	13.005	0.02	14.009	{"type":"elastiknn_dense_float_vector","elastiknn":{"model":"lsh","similarity":"l2","dims":1000,"bands":400,"rows":1,"width":3}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"l2","model":"lsh"}
Random3000d50K1K	Jaccard	Exact	100	1.0	384.02	1.0	418.01	1.0	426.009	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"dims":3000}}	{"field":"vec","similarity":"jaccard","vec":{},"model":"exact"}
Random3000d50K1K	Jaccard	LSH	100	0.24004	43.006	0.29005	52.0	0.30009	53.009	{"type":"elastiknn_sparse_bool_vector","elastiknn":{"model":"lsh","similarity":"jaccard","dims":3000,"bands":400,"rows":1}}	{"field":"vec","candidates":1000,"vec":{},"similarity":"jaccard","model":"lsh"}