hyper-parquet: Fix caching of Parquet files and add single-file variant

.gitignore

@@ -12,6 +12,9 @@ log.txt
 load_out.txt
 server.log
 server.pid
+server.endpoint
+server.endpoint.tmp
+hyperd.log
 arc_token.txt
 data-size.txt
 .doris_home
@@ -20,9 +23,9 @@ data-size.txt
 # Per-system data files
 hits.db
 mydb
-hits.hyper
+hits*.hyper
 hits.vortex
 *.vortex
 
 # Python venvs created by install scripts
-myenv/
+myenv

hyper-parquet-partitioned/benchmark.sh

@@ -0,0 +1,5 @@
+#!/bin/bash
+export BENCH_DOWNLOAD_SCRIPT="download-hits-parquet-partitioned"
+export BENCH_DURABLE=yes
+export BENCH_RESTARTABLE=yes
+exec ../lib/benchmark-common.sh

hyper-parquet-partitioned/check

@@ -0,0 +1,24 @@
+#!/bin/bash
+# Readiness probe: connect to the persistent Hyper server (via the descriptor
+# ./start published to server.endpoint) and run SELECT 1. Non-zero exit means
+# "not up yet" — the benchmark driver polls this in a loop after ./start and
+# uses its transition to failing as the "server is really stopped" signal in
+# the cold cycle.
+set -e
+
+# shellcheck disable=SC1091
+source myenv/bin/activate
+
+# No endpoint published => server isn't up.
+[ -s server.endpoint ] || exit 1
+
+python3 - <<'PY'
+from tableauhyperapi import Connection, Endpoint
+
+with open("server.endpoint") as f:
+    descriptor = f.read().strip()
+
+endpoint = Endpoint(connection_descriptor=descriptor, user_agent="clickbench")
+with Connection(endpoint) as connection:
+    connection.execute_list_query("SELECT 1")
+PY

hyper-parquet/create.sql → hyper-parquet-partitioned/create.sql

@@ -1,4 +1,4 @@
-create temp external table hits
+create external table hits
 for array[
     'hits_0.parquet',
     'hits_10.parquet',
@@ -101,4 +101,4 @@ for array[
     'hits_99.parquet',
     'hits_9.parquet'
 ]
-with (format => 'parquet', binary_as_text => true);
+with (format => 'parquet', binary_as_text => true, immutable => true);

hyper-parquet-partitioned/load

@@ -0,0 +1,35 @@
+#!/bin/bash
+# Create hits_parquet.hyper holding a peristent external table over the
+# single parquet file. The data stays in the parquet file; this .hyper
+# DB only persists the external table *catalog* so its compiled query plans
+# survive across the per-try connections the benchmark driver opens (./query).
+# Without a persistent catalog kept attached, every connection close tears the
+# catalog down and evicts its plan-cache entries.2s recompile on every try.
+#
+# Loading through the already-running server (descriptor in server.endpoint)
+# avoids briefly running two hyperd instances. BENCH_DURABLE=yes, so this runs
+# once (not per query); the file persists across the cold-cycle restarts and
+# ./start re-attaches it via a keep-alive connection after each restart.
+set -e
+
+# shellcheck disable=SC1091
+source myenv/bin/activate
+
+rm -f hits_parquet.hyper
+
+python3 - <<'PY'
+from tableauhyperapi import Connection, Endpoint, CreateMode
+
+with open("server.endpoint") as f:
+    descriptor = f.read().strip()
+
+# experimental_persisted_external_tables must already be on for the server
+# (set as a HyperProcess startup parameter in ./start); creating/opening a
+# persistent external table otherwise errors with "Persisted external tables
+# are disabled".
+endpoint = Endpoint(connection_descriptor=descriptor, user_agent="clickbench")
+with Connection(endpoint, "hits_parquet.hyper", CreateMode.CREATE_AND_REPLACE) as connection:
+    connection.execute_command(open("create.sql").read())
+PY
+
+sync

hyper-parquet/queries.sql → hyper-parquet-partitioned/queries.sql

@@ -27,7 +27,7 @@ SELECT "SearchPhrase" FROM hits WHERE "SearchPhrase" <> '' ORDER BY "SearchPhras
 SELECT "SearchPhrase" FROM hits WHERE "SearchPhrase" <> '' ORDER BY "EventTime", "SearchPhrase" LIMIT 10;
 SELECT "CounterID", AVG(length("URL")) AS l, COUNT(*) AS c FROM hits WHERE "URL" <> '' GROUP BY "CounterID" HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
 SELECT REGEXP_REPLACE("Referer", '^https?://(?:www\.)?([^/]+)/.*$', '\1') AS k, AVG(length("Referer")) AS l, COUNT(*) AS c, MIN("Referer") FROM hits WHERE "Referer" <> '' GROUP BY k HAVING COUNT(*) > 100000 ORDER BY l DESC LIMIT 25;
-SELECT SUM("ResolutionWidth"::bigint), SUM("ResolutionWidth"::bigint + 1), SUM("ResolutionWidth"::bigint + 2), SUM("ResolutionWidth"::bigint + 3), SUM("ResolutionWidth"::bigint + 4), SUM("ResolutionWidth"::bigint + 5), SUM("ResolutionWidth"::bigint + 6), SUM("ResolutionWidth"::bigint + 7), SUM("ResolutionWidth"::bigint + 8), SUM("ResolutionWidth"::bigint + 9), SUM("ResolutionWidth"::bigint + 10), SUM("ResolutionWidth"::bigint + 11), SUM("ResolutionWidth"::bigint + 12), SUM("ResolutionWidth"::bigint + 13), SUM("ResolutionWidth"::bigint + 14), SUM("ResolutionWidth"::bigint + 15), SUM("ResolutionWidth"::bigint + 16), SUM("ResolutionWidth"::bigint + 17), SUM("ResolutionWidth"::bigint + 18), SUM("ResolutionWidth"::bigint + 19), SUM("ResolutionWidth"::bigint + 20), SUM("ResolutionWidth"::bigint + 21), SUM("ResolutionWidth"::bigint + 22), SUM("ResolutionWidth"::bigint + 23), SUM("ResolutionWidth"::bigint + 24), SUM("ResolutionWidth"::bigint + 25), SUM("ResolutionWidth"::bigint + 26), SUM("ResolutionWidth"::bigint + 27), SUM("ResolutionWidth"::bigint + 28), SUM("ResolutionWidth"::bigint + 29), SUM("ResolutionWidth"::bigint + 30), SUM("ResolutionWidth"::bigint + 31), SUM("ResolutionWidth"::bigint + 32), SUM("ResolutionWidth"::bigint + 33), SUM("ResolutionWidth"::bigint + 34), SUM("ResolutionWidth"::bigint + 35), SUM("ResolutionWidth"::bigint + 36), SUM("ResolutionWidth"::bigint + 37), SUM("ResolutionWidth"::bigint + 38), SUM("ResolutionWidth"::bigint + 39), SUM("ResolutionWidth"::bigint + 40), SUM("ResolutionWidth"::bigint + 41), SUM("ResolutionWidth"::bigint + 42), SUM("ResolutionWidth"::bigint + 43), SUM("ResolutionWidth"::bigint + 44), SUM("ResolutionWidth"::bigint + 45), SUM("ResolutionWidth"::bigint + 46), SUM("ResolutionWidth"::bigint + 47), SUM("ResolutionWidth"::bigint + 48), SUM("ResolutionWidth"::bigint + 49), SUM("ResolutionWidth"::bigint + 50), SUM("ResolutionWidth"::bigint + 51), SUM("ResolutionWidth"::bigint + 52), SUM("ResolutionWidth"::bigint + 53), SUM("ResolutionWidth"::bigint + 54), SUM("ResolutionWidth"::bigint + 55), SUM("ResolutionWidth"::bigint + 56), SUM("ResolutionWidth"::bigint + 57), SUM("ResolutionWidth"::bigint + 58), SUM("ResolutionWidth"::bigint + 59), SUM("ResolutionWidth"::bigint + 60), SUM("ResolutionWidth"::bigint + 61), SUM("ResolutionWidth"::bigint + 62), SUM("ResolutionWidth"::bigint + 63), SUM("ResolutionWidth"::bigint + 64), SUM("ResolutionWidth"::bigint + 65), SUM("ResolutionWidth"::bigint + 66), SUM("ResolutionWidth"::bigint + 67), SUM("ResolutionWidth"::bigint + 68), SUM("ResolutionWidth"::bigint + 69), SUM("ResolutionWidth"::bigint + 70), SUM("ResolutionWidth"::bigint + 71), SUM("ResolutionWidth"::bigint + 72), SUM("ResolutionWidth"::bigint + 73), SUM("ResolutionWidth"::bigint + 74), SUM("ResolutionWidth"::bigint + 75), SUM("ResolutionWidth"::bigint + 76), SUM("ResolutionWidth"::bigint + 77), SUM("ResolutionWidth"::bigint + 78), SUM("ResolutionWidth"::bigint + 79), SUM("ResolutionWidth"::bigint + 80), SUM("ResolutionWidth"::bigint + 81), SUM("ResolutionWidth"::bigint + 82), SUM("ResolutionWidth"::bigint + 83), SUM("ResolutionWidth"::bigint + 84), SUM("ResolutionWidth"::bigint + 85), SUM("ResolutionWidth"::bigint + 86), SUM("ResolutionWidth"::bigint + 87), SUM("ResolutionWidth"::bigint + 88), SUM("ResolutionWidth"::bigint + 89) FROM hits;
+SELECT SUM("ResolutionWidth"), SUM("ResolutionWidth" + 1), SUM("ResolutionWidth" + 2), SUM("ResolutionWidth" + 3), SUM("ResolutionWidth" + 4), SUM("ResolutionWidth" + 5), SUM("ResolutionWidth" + 6), SUM("ResolutionWidth" + 7), SUM("ResolutionWidth" + 8), SUM("ResolutionWidth" + 9), SUM("ResolutionWidth" + 10), SUM("ResolutionWidth" + 11), SUM("ResolutionWidth" + 12), SUM("ResolutionWidth" + 13), SUM("ResolutionWidth" + 14), SUM("ResolutionWidth" + 15), SUM("ResolutionWidth" + 16), SUM("ResolutionWidth" + 17), SUM("ResolutionWidth" + 18), SUM("ResolutionWidth" + 19), SUM("ResolutionWidth" + 20), SUM("ResolutionWidth" + 21), SUM("ResolutionWidth" + 22), SUM("ResolutionWidth" + 23), SUM("ResolutionWidth" + 24), SUM("ResolutionWidth" + 25), SUM("ResolutionWidth" + 26), SUM("ResolutionWidth" + 27), SUM("ResolutionWidth" + 28), SUM("ResolutionWidth" + 29), SUM("ResolutionWidth" + 30), SUM("ResolutionWidth" + 31), SUM("ResolutionWidth" + 32), SUM("ResolutionWidth" + 33), SUM("ResolutionWidth" + 34), SUM("ResolutionWidth" + 35), SUM("ResolutionWidth" + 36), SUM("ResolutionWidth" + 37), SUM("ResolutionWidth" + 38), SUM("ResolutionWidth" + 39), SUM("ResolutionWidth" + 40), SUM("ResolutionWidth" + 41), SUM("ResolutionWidth" + 42), SUM("ResolutionWidth" + 43), SUM("ResolutionWidth" + 44), SUM("ResolutionWidth" + 45), SUM("ResolutionWidth" + 46), SUM("ResolutionWidth" + 47), SUM("ResolutionWidth" + 48), SUM("ResolutionWidth" + 49), SUM("ResolutionWidth" + 50), SUM("ResolutionWidth" + 51), SUM("ResolutionWidth" + 52), SUM("ResolutionWidth" + 53), SUM("ResolutionWidth" + 54), SUM("ResolutionWidth" + 55), SUM("ResolutionWidth" + 56), SUM("ResolutionWidth" + 57), SUM("ResolutionWidth" + 58), SUM("ResolutionWidth" + 59), SUM("ResolutionWidth" + 60), SUM("ResolutionWidth" + 61), SUM("ResolutionWidth" + 62), SUM("ResolutionWidth" + 63), SUM("ResolutionWidth" + 64), SUM("ResolutionWidth" + 65), SUM("ResolutionWidth" + 66), SUM("ResolutionWidth" + 67), SUM("ResolutionWidth" + 68), SUM("ResolutionWidth" + 69), SUM("ResolutionWidth" + 70), SUM("ResolutionWidth" + 71), SUM("ResolutionWidth" + 72), SUM("ResolutionWidth" + 73), SUM("ResolutionWidth" + 74), SUM("ResolutionWidth" + 75), SUM("ResolutionWidth" + 76), SUM("ResolutionWidth" + 77), SUM("ResolutionWidth" + 78), SUM("ResolutionWidth" + 79), SUM("ResolutionWidth" + 80), SUM("ResolutionWidth" + 81), SUM("ResolutionWidth" + 82), SUM("ResolutionWidth" + 83), SUM("ResolutionWidth" + 84), SUM("ResolutionWidth" + 85), SUM("ResolutionWidth" + 86), SUM("ResolutionWidth" + 87), SUM("ResolutionWidth" + 88), SUM("ResolutionWidth" + 89) FROM hits;
 SELECT "SearchEngineID", "ClientIP", COUNT(*) AS c, SUM("IsRefresh"), AVG("ResolutionWidth") FROM hits WHERE "SearchPhrase" <> '' GROUP BY "SearchEngineID", "ClientIP" ORDER BY c DESC LIMIT 10;
 SELECT "WatchID", "ClientIP", COUNT(*) AS c, SUM("IsRefresh"), AVG("ResolutionWidth") FROM hits WHERE "SearchPhrase" <> '' GROUP BY "WatchID", "ClientIP" ORDER BY c DESC LIMIT 10;
 SELECT "WatchID", "ClientIP", COUNT(*) AS c, SUM("IsRefresh"), AVG("ResolutionWidth") FROM hits GROUP BY "WatchID", "ClientIP" ORDER BY c DESC LIMIT 10;

hyper-parquet-partitioned/query

@@ -0,0 +1,37 @@
+#!/bin/bash
+# Reads a SQL query from stdin, runs it once against the persistent external
+# table in hits_parquet.hyper on the long-lived Hyper server started by ./start
+# (descriptor in server.endpoint).
+# Stdout: query result.
+# Stderr: query runtime in fractional seconds on the last line.
+set -e
+
+# shellcheck disable=SC1091
+source myenv/bin/activate
+
+query_file=$(mktemp)
+trap 'rm -f "$query_file"' EXIT
+cat > "$query_file"
+
+python3 - "$query_file" <<'PY'
+import sys
+import timeit
+from tableauhyperapi import Connection, Endpoint
+
+with open(sys.argv[1]) as f:
+    query = f.read()
+
+with open("server.endpoint") as f:
+    descriptor = f.read().strip()
+
+endpoint = Endpoint(connection_descriptor=descriptor, user_agent="clickbench")
+with Connection(endpoint, "hits_parquet.hyper") as connection:
+    start = timeit.default_timer()
+    rows = connection.execute_list_query(query)
+    end = timeit.default_timer()
+
+for r in rows:
+    print(r)
+
+print(f"{end - start:.3f}", file=sys.stderr)
+PY

hyper-parquet/results/20240117/c6a.4xlarge.json → hyper-parquet-partitioned/results/20240117/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2024-01-17",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20240117/c6a.metal.json → hyper-parquet-partitioned/results/20240117/c6a.metal.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2024-01-17",
     "machine": "c6a.metal",
     "cluster_size": 1,

hyper-parquet/results/20250301/c6a.4xlarge.json → hyper-parquet-partitioned/results/20250301/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-03-01",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20250301/c6a.metal.json → hyper-parquet-partitioned/results/20250301/c6a.metal.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-03-01",
     "machine": "c6a.metal",
     "cluster_size": 1,

hyper-parquet/results/20250503/c6a.4xlarge.json → hyper-parquet-partitioned/results/20250503/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-05-03",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20250503/c6a.metal.json → hyper-parquet-partitioned/results/20250503/c6a.metal.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-05-03",
     "machine": "c6a.metal",
     "cluster_size": 1,

hyper-parquet/results/20250710/c6a.2xlarge.json → hyper-parquet-partitioned/results/20250710/c6a.2xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-07-10",
     "machine": "c6a.2xlarge",
     "cluster_size": 1,

hyper-parquet/results/20250710/c6a.4xlarge.json → hyper-parquet-partitioned/results/20250710/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-07-10",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20250830/c7a.metal-48xl.json → hyper-parquet-partitioned/results/20250830/c7a.metal-48xl.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-08-30",
     "machine": "c7a.metal-48xl",
     "cluster_size": 1,

hyper-parquet/results/20250831/c6a.2xlarge.json → hyper-parquet-partitioned/results/20250831/c6a.2xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-08-31",
     "machine": "c6a.2xlarge",
     "cluster_size": 1,

hyper-parquet/results/20250831/c6a.4xlarge.json → hyper-parquet-partitioned/results/20250831/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-08-31",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20250831/c6a.large.json → hyper-parquet-partitioned/results/20250831/c6a.large.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-08-31",
     "machine": "c6a.large",
     "cluster_size": 1,

hyper-parquet/results/20250831/c6a.xlarge.json → hyper-parquet-partitioned/results/20250831/c6a.xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-08-31",
     "machine": "c6a.xlarge",
     "cluster_size": 1,

hyper-parquet/results/20250831/t3a.small.json → hyper-parquet-partitioned/results/20250831/t3a.small.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-08-31",
     "machine": "t3a.small",
     "cluster_size": 1,

hyper-parquet/results/20251026/c6a.2xlarge.json → hyper-parquet-partitioned/results/20251026/c6a.2xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-10-26",
     "machine": "c6a.2xlarge",
     "cluster_size": 1,

hyper-parquet/results/20251026/c6a.4xlarge.json → hyper-parquet-partitioned/results/20251026/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-10-26",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20251026/c6a.large.json → hyper-parquet-partitioned/results/20251026/c6a.large.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-10-26",
     "machine": "c6a.large",
     "cluster_size": 1,

hyper-parquet/results/20251026/c6a.metal.json → hyper-parquet-partitioned/results/20251026/c6a.metal.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-10-26",
     "machine": "c6a.metal",
     "cluster_size": 1,

hyper-parquet/results/20251026/c6a.xlarge.json → hyper-parquet-partitioned/results/20251026/c6a.xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-10-26",
     "machine": "c6a.xlarge",
     "cluster_size": 1,

hyper-parquet/results/20251026/c7a.metal-48xl.json → hyper-parquet-partitioned/results/20251026/c7a.metal-48xl.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-10-26",
     "machine": "c7a.metal-48xl",
     "cluster_size": 1,

hyper-parquet/results/20251026/t3a.small.json → hyper-parquet-partitioned/results/20251026/t3a.small.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-10-26",
     "machine": "t3a.small",
     "cluster_size": 1,

hyper-parquet/results/20251124/c6a.2xlarge.json → hyper-parquet-partitioned/results/20251124/c6a.2xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-11-24",
     "machine": "c6a.2xlarge",
     "cluster_size": 1,

hyper-parquet/results/20251124/c6a.4xlarge.json → hyper-parquet-partitioned/results/20251124/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-11-24",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20251124/c6a.large.json → hyper-parquet-partitioned/results/20251124/c6a.large.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-11-24",
     "machine": "c6a.large",
     "cluster_size": 1,

hyper-parquet/results/20251124/c6a.metal.json → hyper-parquet-partitioned/results/20251124/c6a.metal.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-11-24",
     "machine": "c6a.metal",
     "cluster_size": 1,

hyper-parquet/results/20251124/c6a.xlarge.json → hyper-parquet-partitioned/results/20251124/c6a.xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-11-24",
     "machine": "c6a.xlarge",
     "cluster_size": 1,

hyper-parquet/results/20251124/c7a.metal-48xl.json → hyper-parquet-partitioned/results/20251124/c7a.metal-48xl.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-11-24",
     "machine": "c7a.metal-48xl",
     "cluster_size": 1,

hyper-parquet/results/20251124/t3a.small.json → hyper-parquet-partitioned/results/20251124/t3a.small.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2025-11-24",
     "machine": "t3a.small",
     "cluster_size": 1,

hyper-parquet/results/20260509/c6a.4xlarge.json → hyper-parquet-partitioned/results/20260509/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2026-05-09",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20260509/c6a.metal.json → hyper-parquet-partitioned/results/20260509/c6a.metal.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2026-05-09",
     "machine": "c6a.metal",
     "cluster_size": 1,

hyper-parquet/results/20260510/c6a.2xlarge.json → hyper-parquet-partitioned/results/20260510/c6a.2xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2026-05-10",
     "machine": "c6a.2xlarge",
     "cluster_size": 1,

hyper-parquet/results/20260510/c6a.4xlarge.json → hyper-parquet-partitioned/results/20260510/c6a.4xlarge.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2026-05-10",
     "machine": "c6a.4xlarge",
     "cluster_size": 1,

hyper-parquet/results/20260510/c6a.large.json → hyper-parquet-partitioned/results/20260510/c6a.large.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2026-05-10",
     "machine": "c6a.large",
     "cluster_size": 1,

hyper-parquet/results/20260510/c6a.metal.json → hyper-parquet-partitioned/results/20260510/c6a.metal.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2026-05-10",
     "machine": "c6a.metal",
     "cluster_size": 1,

hyper-parquet/results/20260510/c7a.metal-48xl.json → hyper-parquet-partitioned/results/20260510/c7a.metal-48xl.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2026-05-10",
     "machine": "c7a.metal-48xl",
     "cluster_size": 1,

hyper-parquet/results/20260510/t3a.small.json → hyper-parquet-partitioned/results/20260510/t3a.small.json

@@ -1,5 +1,5 @@
 {
-    "system": "Salesforce Hyper (Parquet)",
+    "system": "Salesforce Hyper (Parquet, partitioned)",
     "date": "2026-05-10",
     "machine": "t3a.small",
     "cluster_size": 1,