/tag/export

export ANTHROPIC_AUTH_TOKEN="sk-5842461ad993e9252ef9d39cf5b068fded788834a9135a2ba393e44033a26c6f" export ANTHROPIC_AUTH_TOKEN="sk-5842461ad993e9252ef9d39cf5b068fded788834a9135a2ba393e44033a26c6f" 配置方式 3 个帖子 - 2 位参与者 阅读完整话题

# In your terminal, set the API key export ANTHROPIC_AUTH_TOKEN="ah-b19b6b7b0267a6fca7cf7e023ac482730730a068d1e36fdffe8052543179a291" export ANTHROPIC_BASE_URL="https://hub.linux.do/anthropic" # Then launch Claude Code claude # Or use the --api-key flag with the base URL claude --api-key "ah-b19b6b7b0267a6fca7cf7e023ac482730730a068d1e36fdffe8052543179a291" --base-url "https://hub.linux.do/anthropic" "Hello, Claude!" # The configuration will be stored in ~/.config/claude/config.json 4 个帖子 - 2 位参与者 阅读完整话题

CPA_Batch_Export_50.zip (235.1 KB) 4 个帖子 - 3 位参与者 阅读完整话题

自取 佬友们 archive-session-exports-20260523-212942.zip (51.2 KB) 11 个帖子 - 11 位参与者 阅读完整话题

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

export HTTP_PROXY=http://127.0.0.1:10808 export HTTPS_PROXY=http://127.0.0.1:10808 export http_proxy=http://127.0.0.1:10808 export https_proxy=http://127.0.0.1:10808 export NO_PROXY="localhost,127.0.0.1,::1" export no_proxy="localhost,127.0.0.1,::1" 环境变量不起作用

前言：后续补充 大晚上手挫给我搓爽了 这套方案用于Linux 环境： mysqld_exporter 采集 MySQL 指标。 Prometheus 抓取 mysqld_exporter:9104 。 使用 mysql_global_status_slow_queries 监控全局慢查询增长。 使用 mysql_perf_schema_events_statements_* 从 performance_schema.events_statements_summary_by_digest 发现具体慢SQL摘要。 1. MySQL 开启慢查询与 performance_schema 建议在 /etc/my.cnf 或 /etc/mysql/mysql.conf.d/mysqld.cnf 中配置： [mysqld] performance_schema=ON slow_query_log=ON slow_query_log_file=/var/log/mysql/mysql-slow.log long_query_time=1 log_queries_not_using_indexes=OFF 登录mysql执行授权 SQL： mysql -uroot -p > CREATE USER IF NOT EXISTS 'exporter'@'127.0.0.1' IDENTIFIED BY 'change_me' WITH MAX_USER_CONNECTIONS 3; >GRANT PROCESS, REPLICATION CLIENT, SELECT ON *.* TO 'exporter'@'127.0.0.1'; >FLUSH PRIVILEGES; 运行命令检查： SHOW VARIABLES LIKE 'performance_schema'; SHOW VARIABLES LIKE 'slow_query_log'; SHOW VARIABLES LIKE 'long_query_time'; SHOW GLOBAL STATUS LIKE 'Slow_queries'; 2. 部署 mysqld_exporter 下载并安装二进制： sudo useradd --no-create-home --shell /usr/sbin/nologin prometheus curl -LO https://github.com/prometheus/mysqld_exporter/releases/download/v0.19.0/mysqld_exporter-0.19.0.linux-amd64.tar.gz tar -xzf mysqld_exporter-0.19.0.linux-amd64.tar.gz sudo install -m 0755 mysqld_exporter-0.19.0.linux-amd64/mysqld_exporter /usr/local/bin/mysqld_exporter sudo mkdir -p /etc/mysqld_exporter sudo install -m 0640 mysqld_exporter/.my.cnf.example /etc/mysqld_exporter/.my.cnf sudo chown -R prometheus:prometheus /etc/mysqld_exporter sudo install -m 0644 mysqld_exporter/mysqld_exporter.service /etc/systemd/system/mysqld_exporter.service sudo systemctl daemon-reload sudo systemctl enable --now mysqld_exporter mysqld_exporter.service配置： [Unit] Description=Prometheus MySQL Exporter After=network-online.target Wants=network-online.target [Service] User=prometheus Group=prometheus Type=simple ExecStart=/usr/local/bin/mysqld_exporter \ --config.my-cnf=/etc/mysqld_exporter/.my.cnf \ --web.listen-address=:9104 \ --collect.global_status \ --collect.global_variables \ --collect.perf_schema.eventsstatements \ --collect.perf_schema.eventsstatements.limit=250 \ --collect.perf_schema.eventsstatements.timelimit=86400 \ --collect.perf_schema.eventsstatements.digest_text_limit=160 Restart=always RestartSec=5s NoNewPrivileges=true ProtectSystem=strict ProtectHome=true PrivateTmp=true [Install] WantedBy=multi-user.target 修改 /etc/mysqld_exporter/.my.cnf 中密码后再启动服务。 .my.cnf内容： [client] user=exporter password=change_me host=127.0.0.1 port=3306 验证： curl -s http://127.0.0.1:9104/metrics | grep -E 'mysql_global_status_slow_queries|mysql_perf_schema_events_statements' 3. 配置 Prometheus 把 prometheus.yml 和 rules/mysql-slow-query.rules.yml 合并到 Prometheus 配置目录。 prometheus.yml内容配置： global: scrape_interval: 15s evaluation_interval: 15s rule_files: - /etc/prometheus/rules/mysql-slow-query.rules.yml scrape_configs: - job_name: mysql static_configs: - targets: - 127.0.0.1:9104 labels: service: mysql env: prod mysql-slow-query.rules.yml内容配置： groups: - name: mysql-slow-query interval: 30s rules: - record: mysql:slow_queries:rate5m expr: rate(mysql_global_status_slow_queries[5m]) - record: mysql:statement_digest:avg_latency_seconds5m expr: | rate(mysql_perf_schema_events_statements_seconds_total[5m]) / clamp_min(rate(mysql_perf_schema_events_statements_total[5m]), 0.001) - record: mysql:statement_digest:rows_examined_rate5m expr: rate(mysql_perf_schema_events_statements_rows_examined_total[5m]) - alert: MySQLSlowQueriesIncreasing expr: mysql:slow_queries:rate5m > 0.1 for: 10m labels: severity: warning annotations: summary: "MySQL slow queries are increasing on {{ $labels.instance }}" description: "Slow query rate is {{ $value | printf \"%.3f\" }}/s for 10m. Check MySQL slow log and statement digest metrics." - alert: MySQLSlowSQLDigestHighAvgLatency expr: mysql:statement_digest:avg_latency_seconds5m > 1 for: 10m labels: severity: warning annotations: summary: "Slow SQL digest on {{ $labels.instance }}" description: "schema={{ $labels.schema }}, avg_latency={{ $value | printf \"%.3f\" }}s, digest={{ $labels.digest }}, sql={{ $labels.digest_text }}" - alert: MySQLSQLDigestExaminesTooManyRows expr: mysql:statement_digest:rows_examined_rate5m > 100000 for: 10m labels: severity: warning annotations: summary: "MySQL SQL digest examines too many rows on {{ $labels.instance }}" description: "schema={{ $labels.schema }}, rows_examined_rate={{ $value | printf \"%.0f\" }}/s, digest={{ $labels.digest }}, sql={{ $labels.digest_text }}" - alert: MySQLSQLDigestNoIndexUsed expr: increase(mysql_perf_schema_events_statements_no_index_used_total[15m]) > 0 for: 5m labels: severity: info annotations: summary: "MySQL SQL digest used no index on {{ $labels.instance }}" description: "schema={{ $labels.schema }}, no_index_count={{ $value | printf \"%.0f\" }} in 15m, digest={{ $labels.digest }}, sql={{ $labels.digest_text }}" 检查配置并重载： promtool check config /etc/prometheus/prometheus.yml sudo systemctl reload prometheus 4. 导入 Grafana dashboard 可以直观看到慢 SQL。导入 grafana/mysql-slow-sql-dashboard.json 后，选择 Prometheus 数据源即可看到： 慢查询增长速率趋势。 Top 慢 SQL digest 表格，按 5 分钟平均耗时排序。 Top 扫描行数 SQL digest。 未使用索引 SQL digest。 导入路径： Grafana -> Dashboards -> New -> Import -> Upload JSON file mysql-slow-sql-dashboard.json配置： { "__inputs": [ { "name": "DS_PROMETHEUS", "label": "Prometheus", "description": "Prometheus datasource used by this dashboard", "type": "datasource", "pluginId": "prometheus", "pluginName": "Prometheus" } ], "__requires": [ { "type": "grafana", "id": "grafana", "name": "Grafana", "version": "10.0.0" }, { "type": "datasource", "id": "prometheus", "name": "Prometheus", "version": "1.0.0" }, { "type": "panel", "id": "timeseries", "name": "Time series", "version": "" }, { "type": "panel", "id": "table", "name": "Table", "version": "" } ], "annotations": { "list": [ { "builtIn": 1, "datasource": { "type": "grafana", "uid": "-- Grafana --" }, "enable": true, "hide": true, "iconColor": "rgba(0, 211, 255, 1)", "name": "Annotations & Alerts", "target": { "limit": 100, "matchAny": false, "tags": [], "type": "dashboard" }, "type": "dashboard" } ] }, "editable": true, "fiscalYearStartMonth": 0, "graphTooltip": 0, "id": null, "links": [], "liveNow": false, "panels": [ { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "fieldConfig": { "defaults": { "color": { "mode": "palette-classic" }, "custom": { "axisCenteredZero": false, "axisColorMode": "text", "axisLabel": "", "axisPlacement": "auto", "barAlignment": 0, "drawStyle": "line", "fillOpacity": 10, "gradientMode": "none", "hideFrom": { "legend": false, "tooltip": false, "viz": false }, "lineInterpolation": "linear", "lineWidth": 2, "pointSize": 5, "scaleDistribution": { "type": "linear" }, "showPoints": "never", "spanNulls": false, "stacking": { "group": "A", "mode": "none" }, "thresholdsStyle": { "mode": "off" } }, "mappings": [], "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null }, { "color": "red", "value": 0.1 } ] }, "unit": "qps" }, "overrides": [] }, "gridPos": { "h": 8, "w": 24, "x": 0, "y": 0 }, "id": 1, "options": { "legend": { "calcs": [ "lastNotNull" ], "displayMode": "table", "placement": "right", "showLegend": true }, "tooltip": { "mode": "single", "sort": "none" } }, "targets": [ { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "editorMode": "code", "expr": "rate(mysql_global_status_slow_queries{instance=~\"$instance\"}[5m])", "legendFormat": "{{instance}}", "range": true, "refId": "A" } ], "title": "Slow Query Rate", "type": "timeseries" }, { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "fieldConfig": { "defaults": { "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "filterable": true, "inspect": false }, "mappings": [], "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null }, { "color": "red", "value": 1 } ] }, "unit": "s" }, "overrides": [ { "matcher": { "id": "byName", "options": "SQL" }, "properties": [ { "id": "custom.width", "value": 720 } ] }, { "matcher": { "id": "byName", "options": "Schema" }, "properties": [ { "id": "custom.width", "value": 120 } ] }, { "matcher": { "id": "byName", "options": "Avg Latency" }, "properties": [ { "id": "unit", "value": "s" }, { "id": "decimals", "value": 3 }, { "id": "custom.cellOptions", "value": { "mode": "gradient", "type": "color-background" } } ] } ] }, "gridPos": { "h": 10, "w": 24, "x": 0, "y": 8 }, "id": 2, "options": { "cellHeight": "sm", "footer": { "countRows": false, "fields": "", "reducer": [ "sum" ], "show": false }, "showHeader": true, "sortBy": [ { "desc": true, "displayName": "Avg Latency" } ] }, "pluginVersion": "10.0.0", "targets": [ { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "editorMode": "code", "exemplar": false, "expr": "topk($topk, rate(mysql_perf_schema_events_statements_seconds_total{instance=~\"$instance\",schema=~\"$schema\"}[5m]) / clamp_min(rate(mysql_perf_schema_events_statements_total{instance=~\"$instance\",schema=~\"$schema\"}[5m]), 0.001))", "format": "table", "instant": true, "legendFormat": "__auto", "range": false, "refId": "A" } ], "title": "Top Slow SQL Digests by Avg Latency", "transformations": [ { "id": "organize", "options": { "excludeByName": { "Time": true, "digest": true, "instance": true, "job": true, "service": true }, "indexByName": { "Value": 3, "digest_text": 2, "schema": 1 }, "renameByName": { "Value": "Avg Latency", "digest_text": "SQL", "schema": "Schema" } } } ], "type": "table" }, { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "fieldConfig": { "defaults": { "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "filterable": true, "inspect": false }, "mappings": [], "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null }, { "color": "red", "value": 100000 } ] }, "unit": "rows" }, "overrides": [ { "matcher": { "id": "byName", "options": "SQL" }, "properties": [ { "id": "custom.width", "value": 720 } ] }, { "matcher": { "id": "byName", "options": "Rows Examined/s" }, "properties": [ { "id": "decimals", "value": 0 } ] } ] }, "gridPos": { "h": 10, "w": 12, "x": 0, "y": 18 }, "id": 3, "options": { "cellHeight": "sm", "footer": { "countRows": false, "fields": "", "reducer": [ "sum" ], "show": false }, "showHeader": true, "sortBy": [ { "desc": true, "displayName": "Rows Examined/s" } ] }, "pluginVersion": "10.0.0", "targets": [ { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "editorMode": "code", "expr": "topk($topk, rate(mysql_perf_schema_events_statements_rows_examined_total{instance=~\"$instance\",schema=~\"$schema\"}[5m]))", "format": "table", "instant": true, "range": false, "refId": "A" } ], "title": "Top SQL Digests by Rows Examined", "transformations": [ { "id": "organize", "options": { "excludeByName": { "Time": true, "digest": true, "instance": true, "job": true, "service": true }, "indexByName": { "Value": 3, "digest_text": 2, "schema": 1 }, "renameByName": { "Value": "Rows Examined/s", "digest_text": "SQL", "schema": "Schema" } } } ], "type": "table" }, { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "fieldConfig": { "defaults": { "custom": { "align": "auto", "cellOptions": { "type": "auto" }, "filterable": true, "inspect": false }, "mappings": [], "thresholds": { "mode": "absolute", "steps": [ { "color": "green", "value": null }, { "color": "red", "value": 1 } ] }, "unit": "short" }, "overrides": [ { "matcher": { "id": "byName", "options": "SQL" }, "properties": [ { "id": "custom.width", "value": 720 } ] }, { "matcher": { "id": "byName", "options": "No Index Used" }, "properties": [ { "id": "decimals", "value": 0 } ] } ] }, "gridPos": { "h": 10, "w": 12, "x": 12, "y": 18 }, "id": 4, "options": { "cellHeight": "sm", "footer": { "countRows": false, "fields": "", "reducer": [ "sum" ], "show": false }, "showHeader": true, "sortBy": [ { "desc": true, "displayName": "No Index Used" } ] }, "pluginVersion": "10.0.0", "targets": [ { "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "editorMode": "code", "expr": "topk($topk, increase(mysql_perf_schema_events_statements_no_index_used_total{instance=~\"$instance\",schema=~\"$schema\"}[15m]))", "format": "table", "instant": true, "range": false, "refId": "A" } ], "title": "SQL Digests Without Index", "transformations": [ { "id": "organize", "options": { "excludeByName": { "Time": true, "digest": true, "instance": true, "job": true, "service": true }, "indexByName": { "Value": 3, "digest_text": 2, "schema": 1 }, "renameByName": { "Value": "No Index Used", "digest_text": "SQL", "schema": "Schema" } } } ], "type": "table" } ], "refresh": "30s", "schemaVersion": 38, "style": "dark", "tags": [ "mysql", "slow-sql", "prometheus" ], "templating": { "list": [ { "current": {}, "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "definition": "label_values(mysql_up, instance)", "hide": 0, "includeAll": true, "label": "Instance", "multi": true, "name": "instance", "options": [], "query": { "query": "label_values(mysql_up, instance)", "refId": "PrometheusVariableQueryEditor-VariableQuery" }, "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 1, "type": "query" }, { "current": {}, "datasource": { "type": "prometheus", "uid": "${DS_PROMETHEUS}" }, "definition": "label_values(mysql_perf_schema_events_statements_total{instance=~\"$instance\"}, schema)", "hide": 0, "includeAll": true, "label": "Schema", "multi": true, "name": "schema", "options": [], "query": { "query": "label_values(mysql_perf_schema_events_statements_total{instance=~\"$instance\"}, schema)", "refId": "PrometheusVariableQueryEditor-VariableQuery" }, "refresh": 1, "regex": "", "skipUrlSync": false, "sort": 1, "type": "query" }, { "current": { "selected": false, "text": "10", "value": "10" }, "hide": 0, "label": "TopK", "name": "topk", "options": [ { "selected": true, "text": "10", "value": "10" }, { "selected": false, "text": "20", "value": "20" }, { "selected": false, "text": "50", "value": "50" } ], "query": "10,20,50", "queryValue": "", "skipUrlSync": false, "type": "custom" } ] }, "time": { "from": "now-1h", "to": "now" }, "timepicker": {}, "timezone": "", "title": "MySQL Slow SQL Monitoring", "uid": "mysql-slow-sql", "version": 1, "weekStart": "" } 如果 Grafana 显示 No data 或面板左上角有告警图标，按下面顺序排查： mysql_up 如果没有结果，说明 Prometheus 没抓到 mysqld_exporter ，检查 prometheus.yml 里的 targets 和 Prometheus Status -> Targets 页面。 mysql_global_status_slow_queries 如果 mysql_up 有结果但这个没有，检查 mysqld_exporter 是否能连接 MySQL，以及 exporter 用户权限。 mysql_perf_schema_events_statements_total 如果前两个有结果但这个没有，说明 SQL digest 采集没打开或 MySQL performance_schema 没有可用数据，检查 systemd 服务里是否包含： --collect.perf_schema.eventsstatements 同时在 MySQL 执行： SHOW VARIABLES LIKE 'performance_schema'; SELECT COUNT(*) FROM performance_schema.events_statements_summary_by_digest; 如果 events_statements_summary_by_digest 为空，先执行几条业务 SQL，等待 Prometheus 下一个抓取周期后刷新 Grafana。 5. 常用 PromQL 全局慢查询增长速度： rate(mysql_global_status_slow_queries[5m]) 过去 5 分钟平均耗时最高的 SQL digest： topk( 10, rate(mysql_perf_schema_events_statements_seconds_total[5m]) / clamp_min(rate(mysql_perf_schema_events_statements_total[5m]), 0.001) ) 过去 5 分钟扫描行数明显高的 SQL digest： topk( 10, rate(mysql_perf_schema_events_statements_rows_examined_total[5m]) ) 未使用索引的 SQL digest： topk( 10, increase(mysql_perf_schema_events_statements_no_index_used_total[15m]) ) 6. 告警说明 规则文件已实现这些告警： MySQLSlowQueriesIncreasing ：全局慢查询持续增加。 MySQLSlowSQLDigestHighAvgLatency ：某条 SQL digest 平均耗时超过 1 秒。 MySQLSQLDigestExaminesTooManyRows ：某条 SQL digest 扫描行数过高。 MySQLSQLDigestNoIndexUsed ：某条 SQL digest 发生未使用索引。 赶紧睡了，明天上班摸鱼再继续施工 1 个帖子 - 1 位参与者 阅读完整话题

使用了ChatGPT官方的export data，两天了还没有收到导出的邮件？问问论坛佬友们导出需要多少时间？ 另外问问有没有第三方工具也可以导出和官方类似的conversation.json格式，像cherry studio和librechat基本都只支持官方这种格式，不支持第三方格式。 1 个帖子 - 1 位参与者 阅读完整话题