diff --git a/Final/141-kibana/kibana.ipynb b/Final/141-kibana/kibana.ipynb new file mode 100644 index 0000000..2a19a6d --- /dev/null +++ b/Final/141-kibana/kibana.ipynb @@ -0,0 +1,1846 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "id": "202b8613-45d4-49c1-affd-f519d3d4779a", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ { name: 'default' }, { name: 'github_log' }, { name: 'system' } ]\n" + ] + } + ], + "source": [ + "var openDigger = require('./src/open_digger');\n", + "var query = openDigger.driver.clickhouse.query;\n", + "query(\n", + " `SHOW DATABASES`\n", + ").then(res=>{\n", + " console.log(res);\n", + "})\n", + "function sleep1(delay) {\n", + " var start = (new Date()).getTime();\n", + " while ((new Date()).getTime() - start < delay) {\n", + " continue;\n", + " }\n", + " }\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9881e058", + "metadata": {}, + "outputs": [], + "source": [ + "const { Octokit } = require(\"@octokit/core\");\n", + "const octokit = new Octokit({\n", + " auth: ''\n", + " })" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "637ec9dc", + "metadata": {}, + "outputs": [], + "source": [ + "star_list = []\n", + "for(let i = 1; i <=3; i ++){\n", + "octokit.request('GET /repos/{owner}/{repo}/stargazers?page=${i}', {\n", + " owner: 'PHPOffice',\n", + " repo: 'PHPExcel',\n", + " headers:{\"Accept\": \"application/vnd.github.v3.star+json\"}\n", + " \n", + " }).then(res=>{\n", + " for(let i of res.data)\n", + " star_list.push(i.starred_at)\n", + " })\n", + "}" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "32f07872", + "metadata": {}, + "outputs": [], + "source": [ + "console.log(star_list.length)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "965f271c-9663-411b-9eaf-567153e3da91", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ { name: 'events' } ]\n" + ] + } + ], + "source": [ + "query(\n", + " `SHOW TABLES from github_log`\n", + ").then(res=>{\n", + " console.log(res);\n", + "});" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "2d6aaf8f-fe0d-4140-a78f-189122932ed0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 4, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[ { 'sum(cnt)': '439977' } ]\n" + ] + } + ], + "source": [ + "var repo_id = 1644196;\n", + "query(\n", + "`SELECT SUM(cnt) FROM\n", + "(\n", + "SELECT COUNT(*) as cnt FROM github_log.events WHERE repo_id = ${repo_id}\n", + ")`\n", + ").then(res => {console.log(res)});" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "65ca48e0", + "metadata": {}, + "outputs": [], + "source": [ + "var id=1644196;" + ] + }, + { + "cell_type": "markdown", + "id": "27eea3b0", + "metadata": {}, + "source": [ + "任务一" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "fc2ae0aa", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var time_series = []\n", + "for (let year = 2015;year <= 2022; year ++)\n", + " for (let m = 01; m <= 12; m ++)\n", + " {\n", + " \n", + " \n", + " openDigger.driver.clickhouse.query(\n", + " `\n", + " SELECT tmp.repo_id ,\n", + " anyHeavy( tmp.repo_name) as repo_name ,\n", + " COUNT( *) as star_num\n", + "\n", + " FROM \n", + " (select repo_id,repo_name,actor_id,actor_login,type, max(created_at)as created_at from github_log.events GROUP BY repo_id,repo_name,actor_id,actor_login,type) tmp\n", + "\n", + " WHERE tmp.type = 'WatchEvent' and toMonth( tmp.created_at) = ${m} and toYear(tmp.created_at) = ${year} and repo_id = ${id}\n", + " GROUP BY repo_id\n", + "\n", + "\n", + " `\n", + " ).then(x => {\n", + " time_series.push([year,m,x[0]!=null ?parseInt(x[0]['star_num'] ) : 0]) \n", + " // time_series.push({year,m, x[0]!=null ? paresInt(x[0]['star_num']) : 0})\n", + " })\n", + " }\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "71a5b846", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var time_series = []\n", + "for (let year = 2015;year <= 2022; year ++)\n", + " for (let m = 01; m <= 12; m ++)\n", + " {\n", + " \n", + " \n", + " openDigger.driver.clickhouse.query(\n", + " `\n", + " SELECT tmp.repo_id ,\n", + " anyHeavy( tmp.repo_name) as repo_name ,\n", + " COUNT( *) as star_num\n", + "\n", + " FROM \n", + " (select repo_id,repo_name,actor_id,actor_login,type, max(created_at)as created_at from github_log.events GROUP BY repo_id,repo_name,actor_id,actor_login,type) tmp\n", + "\n", + " WHERE tmp.type = 'ForkEvent' and toMonth( tmp.created_at) = ${m} and repo_id = ${id} and toYear(tmp.created_at) = ${year}\n", + " GROUP BY repo_id\n", + "\n", + "\n", + " `\n", + " ).then(x => {\n", + " time_series.push([year,m,x[0]!=null ?parseInt(x[0]['star_num'] ) : 0]) \n", + " // time_series.push({year,m, x[0]!=null ? paresInt(x[0]['star_num']) : 0})\n", + " })\n", + " }\n", + "\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "ada6ab03", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\n", + " [ 2020, 3, 522 ], [ 2022, 5, 508 ], [ 2018, 2, 265 ], [ 2021, 11, 532 ],\n", + " [ 2017, 3, 166 ], [ 2022, 10, 0 ], [ 2018, 5, 320 ], [ 2016, 12, 122 ],\n", + " [ 2015, 11, 194 ], [ 2018, 11, 452 ], [ 2015, 12, 174 ], [ 2019, 10, 373 ],\n", + " [ 2016, 11, 139 ], [ 2015, 6, 137 ], [ 2020, 6, 597 ], [ 2022, 3, 412 ],\n", + " [ 2016, 4, 134 ], [ 2021, 7, 1861 ], [ 2017, 6, 181 ], [ 2015, 9, 155 ],\n", + " [ 2020, 12, 656 ], [ 2021, 12, 508 ], [ 2019, 1, 767 ], [ 2015, 8, 129 ],\n", + " [ 2020, 9, 636 ], [ 2022, 11, 0 ], [ 2016, 8, 141 ], [ 2018, 4, 255 ],\n", + " [ 2015, 5, 203 ], [ 2020, 7, 534 ], [ 2017, 8, 164 ], [ 2022, 4, 354 ],\n", + " [ 2015, 4, 137 ], [ 2018, 10, 628 ], [ 2021, 8, 452 ], [ 2018, 3, 274 ],\n", + " [ 2022, 7, 0 ], [ 2019, 5, 533 ], [ 2019, 4, 513 ], [ 2018, 12, 543 ],\n", + " [ 2021, 9, 402 ], [ 2018, 6, 260 ], [ 2015, 3, 189 ], [ 2019, 9, 380 ],\n", + " [ 2016, 5, 113 ], [ 2020, 4, 445 ], [ 2015, 10, 168 ], [ 2019, 7, 500 ],\n", + " [ 2016, 1, 159 ], [ 2022, 9, 0 ], [ 2022, 12, 0 ], [ 2020, 8, 567 ],\n", + " [ 2021, 5, 410 ], [ 2022, 6, 124 ], [ 2019, 2, 642 ], [ 2019, 11, 428 ],\n", + " [ 2022, 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8, 496 ], [ 2019, 9, 380 ],\n", + " [ 2020, 1, 434 ], [ 2020, 10, 668 ], [ 2020, 11, 759 ], [ 2020, 12, 656 ],\n", + " [ 2020, 2, 331 ], [ 2020, 3, 522 ], [ 2020, 4, 445 ], [ 2020, 5, 1142 ],\n", + " [ 2020, 6, 597 ], [ 2020, 7, 534 ], [ 2020, 8, 567 ], [ 2020, 9, 636 ],\n", + " [ 2021, 1, 493 ], [ 2021, 10, 273 ], [ 2021, 11, 532 ], [ 2021, 12, 508 ],\n", + " [ 2021, 2, 410 ], [ 2021, 3, 1158 ], [ 2021, 4, 489 ], [ 2021, 5, 410 ],\n", + " [ 2021, 6, 390 ], [ 2021, 7, 1861 ], [ 2021, 8, 452 ], [ 2021, 9, 402 ],\n", + " [ 2022, 1, 499 ], [ 2022, 10, 0 ], [ 2022, 11, 0 ], [ 2022, 12, 0 ],\n", + " [ 2022, 2, 416 ], [ 2022, 3, 412 ], [ 2022, 4, 354 ], [ 2022, 5, 508 ],\n", + " [ 2022, 6, 124 ], [ 2022, 7, 0 ], [ 2022, 8, 0 ], [ 2022, 9, 0 ]\n", + "]\n" + ] + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ + { + "mode": "lines+markers", + "name": "activity", + "y": [ + 160, + 168, + 194, + 174, + 160, + 189, + 137, + 203, + 137, + 108, + 129, + 155, + 159, + 148, + 139, 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"name": "stdout", + "output_type": "stream", + "text": [ + "[\n", + " [ 2015, 1, 61 ], [ 2015, 10, 61 ], [ 2015, 11, 59 ], [ 2015, 12, 54 ],\n", + " [ 2015, 2, 36 ], [ 2015, 3, 59 ], [ 2015, 4, 48 ], [ 2015, 5, 45 ],\n", + " [ 2015, 6, 48 ], [ 2015, 7, 47 ], [ 2015, 8, 48 ], [ 2015, 9, 48 ],\n", + " [ 2016, 1, 44 ], [ 2016, 10, 63 ], [ 2016, 11, 46 ], [ 2016, 12, 40 ],\n", + " [ 2016, 2, 74 ], [ 2016, 3, 72 ], [ 2016, 4, 49 ], [ 2016, 5, 46 ],\n", + " [ 2016, 6, 25 ], [ 2016, 7, 41 ], [ 2016, 8, 43 ], [ 2016, 9, 57 ],\n", + " [ 2017, 1, 51 ], [ 2017, 10, 77 ], [ 2017, 11, 40 ], [ 2017, 12, 56 ],\n", + " [ 2017, 2, 37 ], [ 2017, 3, 44 ], [ 2017, 4, 45 ], [ 2017, 5, 42 ],\n", + " [ 2017, 6, 34 ], [ 2017, 7, 29 ], [ 2017, 8, 53 ], [ 2017, 9, 41 ],\n", + " [ 2018, 1, 38 ], [ 2018, 10, 92 ], [ 2018, 11, 67 ], [ 2018, 12, 55 ],\n", + " [ 2018, 2, 52 ], [ 2018, 3, 42 ], [ 2018, 4, 40 ], [ 2018, 5, 40 ],\n", + " [ 2018, 6, 45 ], [ 2018, 7, 41 ], [ 2018, 8, 401 ], [ 2018, 9, 144 ],\n", + " [ 2019, 1, 88 ], [ 2019, 10, 60 ], [ 2019, 11, 49 ], [ 2019, 12, 73 ],\n", + " [ 2019, 2, 66 ], [ 2019, 3, 80 ], [ 2019, 4, 50 ], [ 2019, 5, 83 ],\n", + " [ 2019, 6, 70 ], [ 2019, 7, 78 ], [ 2019, 8, 69 ], [ 2019, 9, 71 ],\n", + " [ 2020, 1, 72 ], [ 2020, 10, 86 ], [ 2020, 11, 64 ], [ 2020, 12, 83 ],\n", + " [ 2020, 2, 55 ], [ 2020, 3, 71 ], [ 2020, 4, 69 ], [ 2020, 5, 105 ],\n", + " [ 2020, 6, 91 ], [ 2020, 7, 58 ], [ 2020, 8, 70 ], [ 2020, 9, 60 ],\n", + " [ 2021, 1, 59 ], [ 2021, 10, 29 ], [ 2021, 11, 73 ], [ 2021, 12, 65 ],\n", + " [ 2021, 2, 54 ], [ 2021, 3, 76 ], [ 2021, 4, 63 ], [ 2021, 5, 68 ],\n", + " [ 2021, 6, 44 ], [ 2021, 7, 77 ], [ 2021, 8, 62 ], [ 2021, 9, 57 ],\n", + " [ 2022, 1, 57 ], [ 2022, 10, 0 ], [ 2022, 11, 0 ], [ 2022, 12, 0 ],\n", + " [ 2022, 2, 50 ], [ 2022, 3, 56 ], [ 2022, 4, 49 ], [ 2022, 5, 48 ],\n", + " [ 2022, 6, 16 ], [ 2022, 7, 0 ], [ 2022, 8, 0 ], [ 2022, 9, 0 ]\n", + "]\n" + ] + }, + { + "data": { + "application/vnd.plotly.v1+json": { + "data": [ + { + "mode": "lines+markers", + "name": "activity", + "y": [ + 61, + 61, + 59, + 54, + 36, + 59, + 48, + 45, + 48, + 47, + 48, + 48, + 44, + 63, + 46, + 40, + 74, + 72, + 49, + 46, + 25, + 41, + 43, + 57, + 51, + 77, + 40, + 56, + 37, + 44, + 45, + 42, + 34, + 29, + 53, + 41, + 38, + 92, + 67, + 55, + 52, + 42, + 40, + 40, + 45, + 41, + 401, + 144, + 88, + 60, + 49, + 73, + 66, + 80, + 50, + 83, + 70, + 78, + 69, + 71, + 72, + 86, + 64, + 83, + 55, + 71, + 69, + 105, + 91, + 58, + 70, + 60, + 59, + 29, + 73, + 65, + 54, + 76, + 63, + 68, + 44, + 77, + 62, + 57, + 57, + 0, + 0, + 0, + 50, + 56, + 49, + 48, + 16, + 0, + 0, + 0 + ] + } + ] + } + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "// console.log(time_series)\n", + "console.log(time_series.sort())\n", + "openDigger.render.plotly([\n", + " {y: time_series.map(d => d[2]) ,mode: 'lines+markers', name: 'activity'}\n", + " ], ); \n", + "time_series" + ] + }, + { + "cell_type": "markdown", + "id": "f5ae379d", + "metadata": {}, + "source": [ + "任务二" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "2ef41c80", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "var time_series = []\n", + "for (let year = 2015;year <= 2022; year ++)\n", + " for (let m = 1; m <= 12; m ++)\n", + " {\n", + " sleep1(10)\n", + "\n", + " openDigger.driver.clickhouse.query(\n", + "`\n", + "select count(*) as a from github_log.events where repo_id = '1644196' and type = 'IssuesEvent' and action = 'closed' and toMonth(created_at) =${m} and toYear(created_at) = ${year}\n", + "\n", + "`\n", + ").then(x => {\n", + " time_series.push([year,m,x[0]!=null ?x[0]['a'] : 0]);\n", + " })\n", + " }\n", + "\n", + " \n" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "9130ef5a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\n", + " [ 2015, 1, '186' ], [ 2015, 10, '221' ], [ 2015, 11, '143' ],\n", + " [ 2015, 12, '104' ], [ 2015, 2, '171' ], [ 2015, 3, '168' ],\n", + " [ 2015, 4, '173' ], [ 2015, 5, '192' ], [ 2015, 6, '198' ],\n", + " [ 2015, 7, '205' ], [ 2015, 8, '224' ], [ 2015, 9, '199' ],\n", + " [ 2016, 1, '127' ], [ 2016, 10, '128' ], [ 2016, 11, '107' ],\n", + " [ 2016, 12, '117' ], [ 2016, 2, '143' ], [ 2016, 3, '217' ],\n", + " [ 2016, 4, '175' ], [ 2016, 5, '208' ], [ 2016, 6, '179' ],\n", + " [ 2016, 7, '206' ], [ 2016, 8, '217' ], [ 2016, 9, '192' ],\n", + " [ 2017, 1, '311' ], [ 2017, 10, '150' ], [ 2017, 11, '132' ],\n", + " [ 2017, 12, '153' ], [ 2017, 2, '154' ], [ 2017, 3, '132' ],\n", + " [ 2017, 4, '143' ], [ 2017, 5, '251' ], [ 2017, 6, '169' ],\n", + " [ 2017, 7, '138' ], [ 2017, 8, '173' ], [ 2017, 9, '155' ],\n", + " [ 2018, 1, '162' ], [ 2018, 10, '140' ], [ 2018, 11, '105' ],\n", + " [ 2018, 12, '96' ], [ 2018, 2, '114' ], [ 2018, 3, '135' ],\n", + " [ 2018, 4, '145' ], [ 2018, 5, '138' ], [ 2018, 6, '167' ],\n", + " [ 2018, 7, '194' ], [ 2018, 8, '235' ], [ 2018, 9, '129' ],\n", + " [ 2019, 1, '105' ], [ 2019, 10, '200' ], [ 2019, 11, '59' ],\n", + " [ 2019, 12, '73' ], [ 2019, 2, '86' ], [ 2019, 3, '111' ],\n", + " [ 2019, 4, '130' ], [ 2019, 5, '101' ], [ 2019, 6, '98' ],\n", + " [ 2019, 7, '124' ], [ 2019, 8, '127' ], [ 2019, 9, '78' ],\n", + " [ 2020, 1, '105' ], [ 2020, 10, '176' ], [ 2020, 11, '126' ],\n", + " [ 2020, 12, '214' ], [ 2020, 2, '95' ], [ 2020, 3, '155' ],\n", + " [ 2020, 4, '120' ], [ 2020, 5, '158' ], [ 2020, 6, '169' ],\n", + " [ 2020, 7, '107' ], [ 2020, 8, '130' ], [ 2020, 9, '148' ],\n", + " [ 2021, 1, '129' ], [ 2021, 10, '54' ], [ 2021, 11, '126' ],\n", + " [ 2021, 12, '92' ], [ 2021, 2, '119' ], [ 2021, 3, '146' ],\n", + " [ 2021, 4, '187' ], [ 2021, 5, '110' ], [ 2021, 6, '125' ],\n", + " [ 2021, 7, '104' ], [ 2021, 8, '84' ], [ 2021, 9, '99' ],\n", + " [ 2022, 1, 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+ "select count(*) as a from github_log.events where repo_id = '1644196' and type = 'IssuesEvent' and action = 'opened' and toMonth(created_at) =${m} and toYear(created_at) = ${year}\n", + "\n", + "`\n", + ").then(x => {\n", + " time_series.push([year,m,x[0]!=null ?x[0]['a'] : 0]);\n", + " })\n", + " }\n" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "82a6d00e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\n", + " [ 2015, 1, '237' ], [ 2015, 10, '230' ], [ 2015, 11, '173' ],\n", + " [ 2015, 12, '146' ], [ 2015, 2, '199' ], [ 2015, 3, '206' ],\n", + " [ 2015, 4, '198' ], [ 2015, 5, '214' ], [ 2015, 6, '205' ],\n", + " [ 2015, 7, '193' ], [ 2015, 8, '209' ], [ 2015, 9, '253' ],\n", + " [ 2016, 1, '163' ], [ 2016, 10, '212' ], [ 2016, 11, '156' ],\n", + " [ 2016, 12, '129' ], [ 2016, 2, '185' ], [ 2016, 3, '224' ],\n", + " [ 2016, 4, '192' ], [ 2016, 5, '234' ], [ 2016, 6, '226' ],\n", + " [ 2016, 7, '205' ], [ 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"markdown", + "id": "fb9a80b2", + "metadata": {}, + "source": [ + "任务三" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "82a61405", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "var time_series = []\n", + "for (let year = 2015;year <= 2022; year ++)\n", + " for (let m = 1; m <= 12; m ++)\n", + " {\n", + " sleep1(100)\n", + "\n", + " openDigger.driver.clickhouse.query(\n", + "`\n", + "select count(*) as a from github_log.events where repo_id = '1644196' and type ='PullRequestEvent' and action = 'opened' and toMonth(created_at) =${m} and toYear(created_at) = ${year}\n", + "\n", + "`\n", + ").then(x => {\n", + " time_series.push([year,m,x[0]!=null ?x[0]['a'] : 0]);\n", + " })\n", + " }\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "67cce1f1", + "metadata": {}, + "outputs": [ + { + 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openDigger.driver.clickhouse.query(\n", + "`\n", + "select count(*) as a from github_log.events where repo_id = '1644196' and type ='PullRequestEvent' and pull_merged = 1 and toMonth(created_at) =${m} and toYear(created_at) = ${year}\n", + "\n", + "`\n", + ").then(x => {\n", + " time_series.push([year,m,x[0]!=null ?x[0]['a'] : 0]);\n", + " })\n", + " }" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "1124be31", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[\n", + " [ 2015, 1, '173' ], [ 2015, 10, '174' ], [ 2015, 11, '151' ],\n", + " [ 2015, 12, '139' ], [ 2015, 2, '142' ], [ 2015, 3, '116' ],\n", + " [ 2015, 4, '134' ], [ 2015, 5, '172' ], [ 2015, 6, '188' ],\n", + " [ 2015, 7, '223' ], [ 2015, 8, '193' ], [ 2015, 9, '194' ],\n", + " [ 2016, 1, '156' ], [ 2016, 10, '142' ], [ 2016, 11, '106' ],\n", + " [ 2016, 12, '165' ], [ 2016, 2, '178' ], [ 2016, 3, '166' ],\n", + " [ 2016, 4, '173' ], [ 2016, 5, '257' ], 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); " + ] + }, + { + "cell_type": "markdown", + "id": "c80a8f58", + "metadata": {}, + "source": [ + "任务四" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "f9e27ce5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "\n", + "var time_series = []\n", + "for (let year = 2015;year <= 2022; year ++)\n", + " for (let m = 1; m <= 12; m ++)\n", + " {\n", + " sleep1(100)\n", + "\n", + " openDigger.driver.clickhouse.query(\n", + "`\n", + "select count(distinct actor_id) as a from github_log.events where repo_id = '1644196' and toMonth(created_at) =${m} and toYear(created_at) = ${year}\n", + "\n", + "\n", + "`\n", + ").then(x => {\n", + " time_series.push([year,m,x[0]!=null ?x[0]['a'] : 0]);\n", + " })\n", + " }\n" + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "6943b333", + "metadata": {}, + "outputs": [ + { + 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7685.41 } ]\n", + "2021 [ { a: 114.46, med: 180.87 } ]\n", + "2016 [ { a: 50.41, med: 92.97 } ]\n", + "2017 [ { a: 79.23, med: 362.61 } ]\n", + "2015 [ { a: 33.78, med: 71.16 } ]\n", + "2020 [ { a: 115.54, med: 180.22 } ]\n", + "2019 [ { a: 91.77, med: 221.38 } ]\n", + "2018 [ { a: 78.72, med: 158.09 } ]\n" + ] + } + ], + "source": [ + "for(let i = 2015 ; i <= 2022; i++){\n", + " \n", + " openDigger.driver.clickhouse.query(\n", + " `\n", + " select round(avg((issue_closed_at - issue_created_at)/(3600*60) as b) ,2) as a ,round(median((issue_closed_at - issue_created_at) )/3600 ,2) as med from github_log.events where repo_id = '1644196' and type = 'IssuesEvent' and action = 'closed' and b< 10000 and toYear(issue_closed_at) = ${i}\n", + "\n", + " `).then(data=>console.log(i,data))\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "5b8b0909", + "metadata": {}, + "source": [ + "任务六" + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "15cf8249", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 21, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2019 [ { a: 0.8, b: 7.54 } ]\n", + "2015 [ { a: 0.35, b: 2.93 } ]\n", + "2020 [ { a: 0.86, b: 11.99 } ]\n", + "2021 [ { a: 0.71, b: 10.49 } ]\n", + "2016 [ { a: 0.49, b: 3.29 } ]\n", + "2022 [ { a: 0.79, b: 16.1 } ]\n", + "2018 [ { a: 0.54, b: 3.77 } ]\n", + "2017 [ { a: 0.72, b: 5.03 } ]\n" + ] + } + ], + "source": [ + "\n", + "for(let i = 2015 ; i <= 2022; i++){\n", + " \n", + " openDigger.driver.clickhouse.query(\n", + " \n", + " `\n", + " select round(median(pull_merged_at - issue_created_at )/(3600*60),2) as a,round(avg(pull_merged_at - issue_created_at)/(3600*60),2) as b from github_log.events where repo_id = '1644196' and pull_merged = 1 and toYear(pull_merged_at) = ${i}\n", + "\n", + " `).then(data=>console.log(i,data))\n", + "}" + ] + }, + { + "cell_type": "markdown", + "id": "9ffecaf6", + "metadata": {}, + "source": [ + "任务七" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "a4c6ee89", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Promise { }" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "2016 [ { med: 0.07, avg: 35.53 } ]\n", + "2015 [ { med: 0.05, avg: 22.37 } ]\n", + "2021 [ { med: 0.32, avg: 91.81 } ]\n", + "2020 [ { med: 0.29, avg: 91.05 } ]\n", + "2019 [ { med: 0.33, avg: 74.11 } ]\n", + "2017 [ { med: 0.16, avg: 51.6 } ]\n", + "2018 [ { med: 0.16, avg: 52.26 } ]\n", + "2022 [ { med: 1.02, avg: 142.85 } ]\n" + ] + } + ], + "source": [ + "for (let year = 2015; year <= 2022; year++)\n", + "openDigger.driver.clickhouse.query(\n", + "`\n", + "select round(median(a/(3600*60)),2) as med,round(avg(a/(3600*60)),2) as avg from\n", + "(select issue_title,min(issue_comment_created_at),issue_created_at ,min(issue_comment_created_at)-issue_created_at as a from github_log.events\n", + "where repo_id = '1644196' and type = 'IssueCommentEvent' and issue_comment_author_id!= issue_author_id and toYear(issue_comment_created_at) = ${year}\n", + "group by issue_title, issue_id ,issue_created_at) a\n", + "`).then(data=>console.log(year,data));" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c06035bc-e4bc-4c40-a29b-34d75e9470ac", + "metadata": {}, + "outputs": [], + "source": [ + "var startYear = 2015, endYear = 2021;\n", + "var startMonth = 1, endMonth = 12;\n", + "var years = [], months = [];\n", + "for (let i = startYear; i <= endYear; i++) {\n", + " years[i - startYear] = i;\n", + "}\n", + "for (let i = startMonth; i <= endMonth; i++) {\n", + " months[i - startMonth] = i;\n", + "}\n", + "var yms = []\n", + "for(let i = 0; i < years.length; i++) {\n", + " for (let j = 0; j < months.length; j++) {\n", + " yms.push({'y': years[i], 'm': months[j]});\n", + " }\n", + "}\n", + "// 图表横坐标\n", + "yms_axis = yms.map(item => item['y'].toString() + '-' + item['m'].toString())" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "JavaScript (Node.js)", + "language": "javascript", + "name": "javascript" + }, + "language_info": { + "file_extension": ".js", + "mimetype": "application/javascript", + "name": "javascript", + "version": "16.13.0" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git "a/Final/141-kibana/\345\210\206\346\236\220\346\212\245\345\221\212.md" "b/Final/141-kibana/\345\210\206\346\236\220\346\212\245\345\221\212.md" new file mode 100644 index 0000000..c44e069 --- /dev/null +++ "b/Final/141-kibana/\345\210\206\346\236\220\346\212\245\345\221\212.md" @@ -0,0 +1,75 @@ +# Kibana 分析报告 + +## 小组分工 + +张翔宇：负责数据处理部分的运行与撰写。 + +伍泰炜：负责报告的整理与撰写。 + +## 项目简介 + +Kibana 是一个基于 Node.js 的 Elasticsearch 索引库数据统计工具，也正是 Elastic 公司旗下的业务线之一。2018 年 10 月 5 日上午 9:30，纽约证券交易所的铃声响起时，Elastic 正式成为一家上市公司。 + +它在 Elasticsearch 集群上索引的内容之上提供可视化功能。它利用 Elasticsearch 的聚合功能，生成各种图表，如柱形图，线状图，饼图等等；而且还提供了操作 Elasticsearch 索引数据的控制台，并且提供了一定的 API 提示。Kibana 还提供了一个被称为 Canvas 的演示工具，允许用户创建幻灯片，直接从 Elasticsearch 中获取实时数据。Elasticsearch、Logstash 和 Kibana 的组合被称为 "Elastic Stack"（以前是 "ELK stack"），可作为产品或服务使用。Logstash 为 Elasticsearch 提供输入流，用于存储和搜索，Kibana 访问数据用于可视化，如仪表盘。Elastic 还提供 "Beats "包，可配置为提供有关各种数据库和应用技术的预制 Kibana 可视化和仪表盘。 + +2021 年 5 月，OpenSearch 发布了 OpenSearch Dashboards 的第一个测试版，这是在 Elastic 停止开源项目并转向专有软件开发后，由 Amazon Web Services 赞助的 Kibana 的 Apache 许可分支。 + +## 版本发布历史 + +Kibana 总计有八个大版本，项目早期他们的发版流程没有那么规范，特别是从 0-3 的四个版本，没有完整的 alpha-beta-rc 这样的流程，但是随着项目的发展，可能也是软件工程知识的普及，社区开始按照规范的方式发布大版本。 + +同样，初期的原型阶段没有完全遵循 semantic versioning 但是在第四个大版本之后越发严谨。 + +## 主要贡献者的构成 + +项目最开始由 [bleskes](https://github.com/bleskes) 于 2013 年下半年创建，他属于早期的维护者。后期不再有开发动态。 + +本项目从 2014 年开始就全面由 [spalger](https://github.com/spalger) 维护，可以看到他在此后的大多数时间段都占有最高的代码贡献。并且，他应该很快成为或者已经是 Elastic 公司的职员。 + +除了 spalger 之外的开发人员流动相当显著，但也非常合理，因为这是一个至今已经 6 年的项目，spalger 能维护这么久是一件非常不容易的事情。 + +特别是有两个时间点，一个是 2016 年底，有许多早期开发者开始离职，并且在这一整年，代码变更数量呈现持续降低的趋势，但是在次年马上吸引了新的开发者，进入下一个增长阶段；另一个是 2019 年底，在这一年有个别到中期对项目具有重大贡献的开发者离职，或者减少了贡献的数量，但同使社区迎来了大量新的开发者并且一直稳定贡献至今。这背后的原因可能就是 Elastic 公司在 2018 上市了，老员工可能发生了调整，并且吸引了大量新员工。 + +因为本项目是 elastic 公司主导的开源项目，主要由公司的员工作为核心开发者进行维护，所以贡献历史有很明显的工作交接的特征。比如从 2020 年开始的前八位贡献最多的开发者，目前都是 elastic 公司的在职员工。相对于一般开源项目，本项目的外部贡献的人次虽然多，但真正的代码量占比不那么大。 + +## CI/CD 的使用情况 + +本项目使用了 jenkins 和 GitHub Action 两种自动化流水线。其中 GitHub Action 的流水线多侧重于 GitHub 相关的功能，例如： + +- 自动给 issue 打标签 +- 修正 version gaps +- 自动化 project 标签 +- 自动化 assign +- 自动测试是否可以编译 + +而 Jenkins 的流水线式多侧重于各类基准测试。 + +## 与PHPExcel的对比 + +由于phpexcel只是一个库，而kibana是一个成熟的app，所以在数值的对比上二者不具有可比性。 + +整体来看，kibana处于一个平稳发展阶段而phpexcel开发者数量不断减少。 + +特别注意的是，kibana在2018年8月份有一个很高的峰值，值得后续的研究。 + +从开发者数量来讲，phpexcel从archive开始就开始走下坡路了，直到0 + +而cabana可以做到讲开发者数量维护在500-1000这个量级，这对于社区来说很重要。 + +Kibana社区其实还分叉出Grafana，后面补充了详细的说明。 + +结合这两个项目分析，我认为活跃的主要因素还是与需求（需要优秀的监控工具）和战略（将phpexcel移到别的苦中）有关。 + + + +## Kibana 与 Grafana 的对比 + +Kibana 和 Grafana 都是知名的日志监控工具，两者颇有渊源。通过 Github 的提交记录我们可以看出 Grafana 最早是 Kibana 3 的分支 ，所以用过 Kibana 3 的人会感觉到 Grafana 的界面风格和 Kibana3 的风格相当一致。 + +回顾 Kibana 的开发历史，2011 年 Rashid Khan 用 PHP 编写了 Kibana 1.0，发现开发过程不流畅，随即第二年用 Ruby 重写实现了 Kibana 2.0，但还是不满意。2013 年，他又用 AngularJS 再次重写。当时的 Kibana3 是一个纯前端 UI 的项目，但随着功能需求越来越复杂，遇到许多问题导致了开发瓶颈。比如，基于浏览器端没有办法保证数据传输安全，并且数据都要传输到浏览器端进行渲染，复杂的监控经常卡死浏览器，很多复杂的功能需求不好在客户端实现。2014 年 Rashid 决定继续重写 Kibana，所以 Kibana3 之后的版本 Kibana4 是完全用 NodeJS 重写的新版。 + +也是大约在 2014 年 Torkel Ödegaard 注意到 Kibana3 项目，他希望将 Kibana 转变成一个时间序列和以图（Graph）为中心的仪表盘工具并且他有一些自己的设计思路，于是就开辟了一个新的项目。Grafana 的名称正是取自 Graph + Kibana。 + +Kibana 本身历经多次重写，功能特性也越来越丰富，此时的 Kibana 已不是一个简单的监控平台，而是一个实时的数据可视化分析平台。同作为业内知名的日志监控工具，两者确实各有千秋，功能也存在不相交的差异化部分，没有一方完全超越对方。如果要做技术选型，得在具体需求的基础上做决策。 + +从 Kibana 的发展历程我们也可以看出，背后支持 Rashid Khan 不停重写改进项目的力量，恐怕不只是 Elastic 公司的重视。更重要的是社区有长期保持活跃，并且有稳定的需求。也正是因为需求不断升级与特化，才会后来诞生了 Grafana，并且两者都能发展得很好。 diff --git a/gitlog.txt b/gitlog.txt new file mode 100755 index 0000000..1bb89db --- /dev/null +++ b/gitlog.txt @@ -0,0 +1,721 @@ +--1651131644--2022-04-28T15:40:44+08:00--GitHub + + +21 0 LICENSE +1 0 README.md +--1651131752--2022-04-28T15:42:32+08:00--GitHub + + +5 1 README.md +--1651593453--2022-05-03T23:57:33+08:00--GitHub + + +152 0 archived_report(1).md +5561 0 part02-analysis.ipynb +--1651916138--2022-05-07T17:35:38+08:00--GitHub + + +2486 0 analysis.ipynb +- - "\350\221\233\350\277\233_\345\221\250\346\226\207\346\240\274_\345\274\200\346\272\220\350\257\276\347\250\213\346\234\237\344\270\255\344\275\234\344\270\232.pdf" +--1652082327--2022-05-09T15:45:27+08:00--GitHub + + +4803 0 alibaba_vlayout.ipynb +--1652324371--2022-05-12T10:59:31+08:00--Kertin + + +- - .DS_Store +- - 14-anko/.DS_Store +0 0 analysis.ipynb => 14-anko/analysis.ipynb +- - 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