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Normalize machine names: drop redundant cloud prefix, normalize T-shirt sizes
For cloud-service results whose .machine value contains a memory size (GB / GiB) or a T-shirt size (XS / S / M / L / XL / NXL etc), drop the redundant cloud-name prefix so the dashboard groups runs by the actual size rather than the (system, machine) tuple. The system field on each entry already carries the cloud name; repeating it inside .machine just bloats the X axis. Also normalize T-shirt sizing variants to their letter form: Small → S, Medium → M, Large → L, X-Small → XS, X-Large → XL, 2X-Small → 2XS, 2X-Large → 2XL, 3X-Large → 3XL, 4X-Large → 4XL, 5X-Large → 5XL. Affected systems: AlloyDB, ByteHouse, CHYT, ClickHouse Cloud (every aws/azure/gcp tier), CrunchyBridge, Databricks, Hydra, Snowflake, Supabase, Tablespace, Timescale Cloud, pgpro_tam. Bare-metal hardware descriptions (CPU model + RAM, "AWS c5.metal 100GB", etc) are left unchanged — the rule applies to managed-cloud machine labels only. Aurora's "16acu", Hologres' "16 CU", Redshift's "ra3.4xlarge", and SingleStore's "S2"/"S24" don't match the GB or T-shirt-size pattern and are also left alone. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
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alloydb/results/20231125/gcp.128GB_tuned.json

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{
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"system": "AlloyDB",
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"date": "2023-11-25",
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"machine": "AlloyDB: 16 vCPU 128 GB",
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"machine": "16 vCPU 128 GB",
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"cluster_size": "serverless",
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"comment": "",
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"proprietary": "yes",

alloydb/results/20231125/gcp.64GB.json

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{
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"system": "AlloyDB",
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"date": "2023-11-25",
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"machine": "AlloyDB: 8 vCPU 64 GB",
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"machine": "8 vCPU 64 GB",
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"cluster_size": "serverless",
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"proprietary": "yes",
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"hardware": "cpu",

alloydb/results/20231125/gcp.64GB_tuned.json

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{
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"system": "AlloyDB (tuned)",
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"date": "2023-11-25",
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"machine": "AlloyDB: 8 vCPU 64 GB",
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"machine": "8 vCPU 64 GB",
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"cluster_size": "serverless",
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"proprietary": "yes",
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"hardware": "cpu",

bytehouse/results/20220716/l.json

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{
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"system": "ByteHouse",
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"date": "2022-07-16",
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"machine": "ByteHouse: L",
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"machine": "L",
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"proprietary": "yes",
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"hardware": "cpu",
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"tuned": "no",

bytehouse/results/20220716/m.json

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{
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"system": "ByteHouse",
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"date": "2022-07-16",
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"machine": "ByteHouse: M",
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"machine": "M",
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"proprietary": "yes",
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"hardware": "cpu",
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"tuned": "no",

bytehouse/results/20220716/s.json

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{
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"system": "ByteHouse",
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"date": "2022-07-16",
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"machine": "ByteHouse: S",
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"machine": "S",
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"proprietary": "yes",
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"hardware": "cpu",
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"tuned": "no",

bytehouse/results/20220716/xs.json

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{
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"system": "ByteHouse",
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"date": "2022-07-16",
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"machine": "ByteHouse: XS",
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"machine": "XS",
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"proprietary": "yes",
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"hardware": "cpu",
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"tuned": "no",

bytehouse/results/20220727/l.json

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{
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"system": "ByteHouse",
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"date": "2022-07-27",
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"machine": "ByteHouse: L",
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"machine": "L",
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"cluster_size": 8,
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"proprietary": "yes",
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"hardware": "cpu",

bytehouse/results/20220727/m.json

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{
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"system": "ByteHouse",
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"date": "2022-07-27",
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"machine": "ByteHouse: M",
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"machine": "M",
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"cluster_size": 4,
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"proprietary": "yes",
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"hardware": "cpu",

bytehouse/results/20220727/s.json

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{
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"system": "ByteHouse",
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"date": "2022-07-27",
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"machine": "ByteHouse: S",
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"machine": "S",
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"cluster_size": 2,
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"proprietary": "yes",
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"hardware": "cpu",

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