Add InfluxDB 3 Core entry

README.md

@@ -305,7 +305,6 @@ Please help us add more systems and run the benchmarks on more types of VMs:
 - [ ] Hive
 - [ ] Hydrolix
 - [ ] Impala
-- [ ] InfluxDB
 - [ ] LocustDB
 - [ ] Manticore Search
 - [ ] MS SQL Server with Column Store Index (without publishing)

influxdb/README.md

@@ -0,0 +1,37 @@
+# InfluxDB
+
+This entry uses [InfluxDB 3 Core](https://docs.influxdata.com/influxdb3/core/), the open-source SQL-capable
+release of InfluxDB. The query engine is Apache DataFusion, the storage is local Parquet.
+
+## Caveats
+
+InfluxDB is a time-series database, not a general analytical database, so loading a flat 100M-row
+analytical dataset into it stretches the data model:
+
+1. **No bulk CSV/Parquet import.** The only ingestion path is line protocol over HTTP
+   (`/api/v3/write_lp`). `load.py` streams `hits.tsv`, converts each row to a line-protocol point, and
+   POSTs in batches. The conversion + ingest is the dominant cost of the load phase and is much slower
+   than e.g. Postgres `\copy` or DuckDB `COPY FROM`.
+
+2. **Required unique timestamp.** Line protocol merges points that share `(measurement, tags, timestamp)`,
+   so to preserve all rows we use the row index as the line protocol timestamp (in nanoseconds, offset
+   from a fixed 2020-01-01 epoch). The original `EventTime` is stored as a regular string field and used
+   by the queries.
+
+3. **No tags, all fields.** Tags are indexed at ingest time; for a wide flat schema the indexing cost
+   is prohibitive. Every column is written as a field instead. Numeric columns use the integer
+   line-protocol type (`...i`); string and date/time columns are written as strings.
+
+4. **Query compatibility.** Most ClickBench queries run unchanged. Q19 and Q43 cast `EventTime` (stored
+   as string) to a `TIMESTAMP` for `extract(minute ...)` and `date_trunc('minute', ...)`. DataFusion
+   folds unquoted identifiers to lowercase, so `load.py` writes column names in lowercase to keep the
+   standard CamelCase queries portable.
+
+## Run
+
+```
+./benchmark.sh
+```
+
+The server listens on port 8181, stores data under `./influxdb3-data`, and runs without authentication
+(`--without-auth`) for the duration of the benchmark.

influxdb/benchmark.sh

@@ -0,0 +1,58 @@
+#!/bin/bash
+
+set -eu
+
+# Install dependencies and the InfluxDB 3 Core binary directly. We bypass the
+# upstream install_influxdb3.sh installer because it is interactive and not
+# suited for unattended runs.
+
+sudo apt-get update -y
+sudo apt-get install -y python3 python3-pip curl jq time
+pip3 install --break-system-packages requests
+
+INFLUX_VERSION=3.9.2
+case "$(uname -m)" in
+    x86_64|amd64)  INFLUX_ARTIFACT=linux_amd64 ;;
+    aarch64|arm64) INFLUX_ARTIFACT=linux_arm64 ;;
+    *) echo "Unsupported architecture: $(uname -m)" >&2; exit 1 ;;
+esac
+
+INFLUX_TGZ="influxdb3-core-${INFLUX_VERSION}_${INFLUX_ARTIFACT}.tar.gz"
+wget --continue --progress=dot:giga \
+    "https://dl.influxdata.com/influxdb/releases/${INFLUX_TGZ}"
+rm -rf "influxdb3-core-${INFLUX_VERSION}"
+tar -xzf "${INFLUX_TGZ}"
+INFLUXDB3="${PWD}/influxdb3-core-${INFLUX_VERSION}/influxdb3"
+
+# Start the server with local-file storage and authentication disabled.
+mkdir -p ./influxdb3-data
+nohup "${INFLUXDB3}" serve \
+    --node-id node0 \
+    --object-store file \
+    --data-dir "${PWD}/influxdb3-data" \
+    --http-bind 127.0.0.1:8181 \
+    --without-auth \
+    > influxdb3.log 2>&1 &
+INFLUXDB_PID=$!
+echo "InfluxDB PID: ${INFLUXDB_PID}"
+
+for _ in $(seq 1 300); do
+    curl -sf http://localhost:8181/health > /dev/null && break
+    sleep 1
+done
+
+"${INFLUXDB3}" create database hits
+
+# Download the dataset and load it via line protocol.
+../download-hits-tsv
+
+echo -n "Load time: "
+command time -f '%e' python3 load.py
+
+# Run queries.
+./run.sh 2>&1 | tee log.txt
+
+echo -n "Data size: "
+du -bcs ./influxdb3-data | grep total | awk '{print $1}'
+
+kill "${INFLUXDB_PID}" || true

influxdb/load.py

@@ -0,0 +1,204 @@
+#!/usr/bin/env python3
+"""Stream hits.tsv into InfluxDB 3 via line protocol over HTTP.
+
+Each row of the TSV becomes one line-protocol point in measurement ``hits``.
+All columns are written as fields (no tags). The line protocol timestamp is
+derived from the row index so that every point is unique.
+"""
+
+import csv
+import os
+import sys
+import time
+import requests
+
+URL = "http://localhost:8181/api/v3/write_lp"
+DB = "hits"
+INPUT = "hits.tsv"
+TOTAL_ROWS = 99997497
+BATCH_ROWS = 1000
+
+# 2020-01-01 00:00:00 UTC, in nanoseconds. Row i is written at TS_BASE + i ns,
+# guaranteeing per-row uniqueness while keeping timestamps in a reasonable range.
+TS_BASE = 1577836800_000_000_000
+
+# Column schema (name, type) in TSV order. Type 'i' = integer, 's' = string.
+# Mirrors postgresql/create.sql.
+COLUMNS = [
+    ("WatchID", "i"),
+    ("JavaEnable", "i"),
+    ("Title", "s"),
+    ("GoodEvent", "i"),
+    ("EventTime", "s"),
+    ("EventDate", "s"),
+    ("CounterID", "i"),
+    ("ClientIP", "i"),
+    ("RegionID", "i"),
+    ("UserID", "i"),
+    ("CounterClass", "i"),
+    ("OS", "i"),
+    ("UserAgent", "i"),
+    ("URL", "s"),
+    ("Referer", "s"),
+    ("IsRefresh", "i"),
+    ("RefererCategoryID", "i"),
+    ("RefererRegionID", "i"),
+    ("URLCategoryID", "i"),
+    ("URLRegionID", "i"),
+    ("ResolutionWidth", "i"),
+    ("ResolutionHeight", "i"),
+    ("ResolutionDepth", "i"),
+    ("FlashMajor", "i"),
+    ("FlashMinor", "i"),
+    ("FlashMinor2", "s"),
+    ("NetMajor", "i"),
+    ("NetMinor", "i"),
+    ("UserAgentMajor", "i"),
+    ("UserAgentMinor", "s"),
+    ("CookieEnable", "i"),
+    ("JavascriptEnable", "i"),
+    ("IsMobile", "i"),
+    ("MobilePhone", "i"),
+    ("MobilePhoneModel", "s"),
+    ("Params", "s"),
+    ("IPNetworkID", "i"),
+    ("TraficSourceID", "i"),
+    ("SearchEngineID", "i"),
+    ("SearchPhrase", "s"),
+    ("AdvEngineID", "i"),
+    ("IsArtifical", "i"),
+    ("WindowClientWidth", "i"),
+    ("WindowClientHeight", "i"),
+    ("ClientTimeZone", "i"),
+    ("ClientEventTime", "s"),
+    ("SilverlightVersion1", "i"),
+    ("SilverlightVersion2", "i"),
+    ("SilverlightVersion3", "i"),
+    ("SilverlightVersion4", "i"),
+    ("PageCharset", "s"),
+    ("CodeVersion", "i"),
+    ("IsLink", "i"),
+    ("IsDownload", "i"),
+    ("IsNotBounce", "i"),
+    ("FUniqID", "i"),
+    ("OriginalURL", "s"),
+    ("HID", "i"),
+    ("IsOldCounter", "i"),
+    ("IsEvent", "i"),
+    ("IsParameter", "i"),
+    ("DontCountHits", "i"),
+    ("WithHash", "i"),
+    ("HitColor", "s"),
+    ("LocalEventTime", "s"),
+    ("Age", "i"),
+    ("Sex", "i"),
+    ("Income", "i"),
+    ("Interests", "i"),
+    ("Robotness", "i"),
+    ("RemoteIP", "i"),
+    ("WindowName", "i"),
+    ("OpenerName", "i"),
+    ("HistoryLength", "i"),
+    ("BrowserLanguage", "s"),
+    ("BrowserCountry", "s"),
+    ("SocialNetwork", "s"),
+    ("SocialAction", "s"),
+    ("HTTPError", "i"),
+    ("SendTiming", "i"),
+    ("DNSTiming", "i"),
+    ("ConnectTiming", "i"),
+    ("ResponseStartTiming", "i"),
+    ("ResponseEndTiming", "i"),
+    ("FetchTiming", "i"),
+    ("SocialSourceNetworkID", "i"),
+    ("SocialSourcePage", "s"),
+    ("ParamPrice", "i"),
+    ("ParamOrderID", "s"),
+    ("ParamCurrency", "s"),
+    ("ParamCurrencyID", "i"),
+    ("OpenstatServiceName", "s"),
+    ("OpenstatCampaignID", "s"),
+    ("OpenstatAdID", "s"),
+    ("OpenstatSourceID", "s"),
+    ("UTMSource", "s"),
+    ("UTMMedium", "s"),
+    ("UTMCampaign", "s"),
+    ("UTMContent", "s"),
+    ("UTMTerm", "s"),
+    ("FromTag", "s"),
+    ("HasGCLID", "i"),
+    ("RefererHash", "i"),
+    ("URLHash", "i"),
+    ("CLID", "i"),
+]
+
+# Pre-compute static parts of each line for speed.
+# String fields need each value individually escaped; integers can be written raw.
+_STR_TRANS = str.maketrans({"\\": "\\\\", '"': '\\"', "\n": " ", "\r": " "})
+
+
+# DataFusion (the InfluxDB 3 query engine) folds unquoted identifiers to
+# lowercase, so we lowercase field names at load time. That way the standard
+# ClickBench queries with CamelCase column references (e.g. ``EventDate``)
+# resolve correctly without needing to be quoted.
+_LOWER_COLUMNS = [(name.lower(), ty) for name, ty in COLUMNS]
+
+
+def encode_row(row, ts_ns):
+    parts = []
+    for (name, ty), value in zip(_LOWER_COLUMNS, row):
+        if ty == "i":
+            # Integer field — append 'i' suffix per line-protocol spec.
+            # Empty/blank cells become 0.
+            v = value if value else "0"
+            parts.append(f"{name}={v}i")
+        else:
+            v = value.translate(_STR_TRANS) if value else ""
+            parts.append(f'{name}="{v}"')
+    return f"hits {','.join(parts)} {ts_ns}\n"
+
+
+def main():
+    session = requests.Session()
+    session.headers["Content-Type"] = "text/plain; charset=utf-8"
+    params = {"db": DB, "precision": "nanosecond", "accept_partial": "false"}
+
+    total = 0
+    last_log = time.monotonic()
+    buf = []
+
+    with open(INPUT, "r", encoding="utf-8", errors="replace", newline="") as f:
+        reader = csv.reader(
+            f, delimiter="\t", quoting=csv.QUOTE_NONE, escapechar=None
+        )
+        for i, row in enumerate(reader):
+            if len(row) != len(COLUMNS):
+                # Pad short rows / truncate over-long ones; the source TSV is
+                # mostly clean but defensive handling avoids killing the load.
+                row = (row + [""] * len(COLUMNS))[: len(COLUMNS)]
+            buf.append(encode_row(row, TS_BASE + i))
+            if len(buf) >= BATCH_ROWS:
+                _flush(session, params, buf)
+                total += len(buf)
+                buf.clear()
+                now = time.monotonic()
+                if now - last_log > 5:
+                    pct = 100.0 * total / TOTAL_ROWS
+                    print(f"  {pct:5.2f}%  ({total}/{TOTAL_ROWS})", flush=True)
+                    last_log = now
+    if buf:
+        _flush(session, params, buf)
+        total += len(buf)
+
+    print(f"Total rows written: {total}")
+
+
+def _flush(session, params, buf):
+    body = "".join(buf).encode("utf-8")
+    r = session.post(URL, params=params, data=body, timeout=300)
+    if r.status_code >= 300:
+        sys.stderr.write(f"write_lp HTTP {r.status_code}: {r.text[:500]}\n")
+
+
+if __name__ == "__main__":
+    main()

influxdb/queries.sql

@@ -0,0 +1,43 @@
+SELECT COUNT(*) FROM hits;
+SELECT COUNT(*) FROM hits WHERE AdvEngineID <> 0;
+SELECT SUM(AdvEngineID), COUNT(*), AVG(ResolutionWidth) FROM hits;
+SELECT AVG(UserID) FROM hits;
+SELECT COUNT(DISTINCT UserID) FROM hits;
+SELECT COUNT(DISTINCT SearchPhrase) FROM hits;
+SELECT MIN(EventDate), MAX(EventDate) FROM hits;
+SELECT AdvEngineID, COUNT(*) FROM hits WHERE AdvEngineID <> 0 GROUP BY AdvEngineID ORDER BY COUNT(*) DESC;
+SELECT RegionID, COUNT(DISTINCT UserID) AS u FROM hits GROUP BY RegionID ORDER BY u DESC LIMIT 10;
+SELECT RegionID, SUM(AdvEngineID), COUNT(*) AS c, AVG(ResolutionWidth), COUNT(DISTINCT UserID) FROM hits GROUP BY RegionID ORDER BY c DESC LIMIT 10;
+SELECT MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhoneModel ORDER BY u DESC LIMIT 10;
+SELECT MobilePhone, MobilePhoneModel, COUNT(DISTINCT UserID) AS u FROM hits WHERE MobilePhoneModel <> '' GROUP BY MobilePhone, MobilePhoneModel ORDER BY u DESC LIMIT 10;
+SELECT SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
+SELECT SearchPhrase, COUNT(DISTINCT UserID) AS u FROM hits WHERE SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY u DESC LIMIT 10;
+SELECT SearchEngineID, SearchPhrase, COUNT(*) AS c FROM hits WHERE SearchPhrase <> '' GROUP BY SearchEngineID, SearchPhrase ORDER BY c DESC LIMIT 10;
+SELECT UserID, COUNT(*) FROM hits GROUP BY UserID ORDER BY COUNT(*) DESC LIMIT 10;
+SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
+SELECT UserID, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, SearchPhrase LIMIT 10;
+SELECT UserID, extract(minute FROM CAST(EventTime AS TIMESTAMP)) AS m, SearchPhrase, COUNT(*) FROM hits GROUP BY UserID, m, SearchPhrase ORDER BY COUNT(*) DESC LIMIT 10;
+SELECT UserID FROM hits WHERE UserID = 435090932899640449;
+SELECT COUNT(*) FROM hits WHERE URL LIKE '%google%';
+SELECT SearchPhrase, MIN(URL), COUNT(*) AS c FROM hits WHERE URL LIKE '%google%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
+SELECT SearchPhrase, MIN(URL), MIN(Title), COUNT(*) AS c, COUNT(DISTINCT UserID) FROM hits WHERE Title LIKE '%Google%' AND URL NOT LIKE '%.google.%' AND SearchPhrase <> '' GROUP BY SearchPhrase ORDER BY c DESC LIMIT 10;
+SELECT * FROM hits WHERE URL LIKE '%google%' ORDER BY EventTime LIMIT 10;
+SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY EventTime LIMIT 10;
+SELECT SearchPhrase FROM hits WHERE SearchPhrase <> '' ORDER BY SearchPhrase LIMIT 10;
+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), 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;
+SELECT URL, COUNT(*) AS c FROM hits GROUP BY URL ORDER BY c DESC LIMIT 10;
+SELECT 1, URL, COUNT(*) AS c FROM hits GROUP BY 1, URL ORDER BY c DESC LIMIT 10;
+SELECT ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3, COUNT(*) AS c FROM hits GROUP BY ClientIP, ClientIP - 1, ClientIP - 2, ClientIP - 3 ORDER BY c DESC LIMIT 10;
+SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND URL <> '' GROUP BY URL ORDER BY PageViews DESC LIMIT 10;
+SELECT Title, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND DontCountHits = 0 AND IsRefresh = 0 AND Title <> '' GROUP BY Title ORDER BY PageViews DESC LIMIT 10;
+SELECT URL, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND IsLink <> 0 AND IsDownload = 0 GROUP BY URL ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
+SELECT TraficSourceID, SearchEngineID, AdvEngineID, CASE WHEN (SearchEngineID = 0 AND AdvEngineID = 0) THEN Referer ELSE '' END AS Src, URL AS Dst, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 GROUP BY TraficSourceID, SearchEngineID, AdvEngineID, Src, Dst ORDER BY PageViews DESC LIMIT 10 OFFSET 1000;
+SELECT URLHash, EventDate, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND TraficSourceID IN (-1, 6) AND RefererHash = 3594120000172545465 GROUP BY URLHash, EventDate ORDER BY PageViews DESC LIMIT 10 OFFSET 100;
+SELECT WindowClientWidth, WindowClientHeight, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-01' AND EventDate <= '2013-07-31' AND IsRefresh = 0 AND DontCountHits = 0 AND URLHash = 2868770270353813622 GROUP BY WindowClientWidth, WindowClientHeight ORDER BY PageViews DESC LIMIT 10 OFFSET 10000;
+SELECT DATE_TRUNC('minute', CAST(EventTime AS TIMESTAMP)) AS M, COUNT(*) AS PageViews FROM hits WHERE CounterID = 62 AND EventDate >= '2013-07-14' AND EventDate <= '2013-07-15' AND IsRefresh = 0 AND DontCountHits = 0 GROUP BY DATE_TRUNC('minute', CAST(EventTime AS TIMESTAMP)) ORDER BY DATE_TRUNC('minute', CAST(EventTime AS TIMESTAMP)) LIMIT 10 OFFSET 1000;

influxdb/run.sh

@@ -0,0 +1,29 @@
+#!/bin/bash
+
+TRIES=3
+URL="http://localhost:8181/api/v3/query_sql"
+
+set -f
+while IFS= read -r query; do
+    [ -z "$query" ] && continue
+    sync
+    echo 3 | sudo tee /proc/sys/vm/drop_caches > /dev/null
+
+    body=$(jq -n --arg q "$query" '{db: "hits", q: $q, format: "json"}')
+
+    echo -n "["
+    for i in $(seq 1 $TRIES); do
+        t1=$(date +%s%N)
+        curl -sS --fail --max-time 600 -H 'Content-Type: application/json' \
+            -X POST "$URL" -d "$body" > /dev/null
+        rc=$?
+        t2=$(date +%s%N)
+        if [ "$rc" = "0" ]; then
+            awk "BEGIN { printf \"%.3f\", ($t2 - $t1) / 1000000000 }"
+        else
+            echo -n "null"
+        fi
+        [ "$i" != "$TRIES" ] && echo -n ", "
+    done
+    echo "],"
+done < queries.sql

influxdb/template.json

@@ -0,0 +1,12 @@
+{
+  "system": "InfluxDB",
+  "proprietary": "no",
+  "hardware": "cpu",
+  "tuned": "no",
+  "tags": [
+    "Rust",
+    "column-oriented",
+    "time-series",
+    "lukewarm-cold-run"
+  ]
+}