/
Cassandra Day Russia Streaming demo.zpln
1131 lines (1131 loc) · 50.7 KB
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Cassandra Day Russia Streaming demo.zpln
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{
"paragraphs": [
{
"text": "%md\n\n# Введение\n\nДанный блокнот (notebook) содержит пример использования Apache Spark + Cassandra для потоковой обработки данных, поступающих из Kafka (через [модифицированную версию Kafka Connect Twitter](https://github.com/alexott/kafka-connect-twitter/tree/kafka-2.2-compatibility-and-more)). \n\nОбработка данных заключается:\n\n* чтении данных из Кафки и извлечения нужных полей (`language` & `created_at`)\n* группировки данных по языку с окном в 1 минуту, подсчету данных в данном окне\n* объединении данных с данными в Cassandra - для добавления названия языка\n* записи данных в Cassandra",
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"data": "<div class=\"markdown-body\">\n<h1>Введение</h1>\n<p>Данный блокнот (notebook) содержит пример использования Apache Spark + Cassandra для потоковой обработки данных, поступающих из Kafka (через <a href=\"https://github.com/alexott/kafka-connect-twitter/tree/kafka-2.2-compatibility-and-more\">модифицированную версию Kafka Connect Twitter</a>).</p>\n<p>Обработка данных заключается:</p>\n<ul>\n<li>чтении данных из Кафки и извлечения нужных полей (<code>language</code> & <code>created_at</code>)</li>\n<li>группировки данных по языку с окном в 1 минуту, подсчету данных в данном окне</li>\n<li>объединении данных с данными в Cassandra - для добавления названия языка</li>\n<li>записи данных в Cassandra</li>\n</ul>\n\n</div>"
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"title": "Создаем keyspace и таблицу с данными которые будут использоваться для дополнения данных из потока",
"text": "%cassandra\n\ncreate keyspace if not exists zep with replication = {'class': 'SimpleStrategy', 'replication_factor': 3};\n\ndrop table if exists zep.languages;\ncreate table if not exists zep.languages (\n id text primary key,\n native_name text\n);",
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"data": "\n\n<div class=\"container\">\n<div class=\"row text-center\">\n<h4>No Result</h4>\n</div>\n<br/>\n <div class=\"row\">\n <div class=\"col-md-3\"></div>\n <div class=\"col-md-6 col-offset-md-3 table-responsive table-bordered\">\n <table class=\"table\">\n <caption><h5>Last query execution info</h5></caption>\n <thead>\n <tr>\n <th>Info</th>\n <th>Value</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Statement</td>\n <td>create table if not exists zep.languages (\n id text primary key,\n native_name text\n);</td>\n </tr>\n <tr>\n <td>Achieved Consistency</td>\n <td>N/A</td>\n </tr>\n <tr>\n <td>Tried Hosts</td>\n <td>10.101.34.94:9042</td>\n </tr>\n <tr>\n <td>Queried Hosts</td>\n <td>10.101.34.94:9042</td>\n </tr>\n <tr>\n <td>Schema In Agreement</td>\n <td>true</td>\n </tr>\n </tbody>\n </table>\n </div>\n </div>\n</div>"
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{
"text": "%cassandra\n\ninsert into zep.languages(id, native_name) values ('en', 'English');\ninsert into zep.languages(id, native_name) values ('de', 'Deutsch');\ninsert into zep.languages(id, native_name) values ('ru', 'Русский');\ninsert into zep.languages(id, native_name) values ('pl', 'Język polski');\ninsert into zep.languages(id, native_name) values ('ja', '日本語 (にほんご)');\ninsert into zep.languages(id, native_name) values ('zh', '漢語');",
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"data": "\n\n<div class=\"container\">\n<div class=\"row text-center\">\n<h4>No Result</h4>\n</div>\n<br/>\n <div class=\"row\">\n <div class=\"col-md-3\"></div>\n <div class=\"col-md-6 col-offset-md-3 table-responsive table-bordered\">\n <table class=\"table\">\n <caption><h5>Last query execution info</h5></caption>\n <thead>\n <tr>\n <th>Info</th>\n <th>Value</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Statement</td>\n <td>insert into zep.languages(id, native_name) values ('zh', '漢語');</td>\n </tr>\n <tr>\n <td>Achieved Consistency</td>\n <td>N/A</td>\n </tr>\n <tr>\n <td>Tried Hosts</td>\n <td>10.101.34.94:9042</td>\n </tr>\n <tr>\n <td>Queried Hosts</td>\n <td>10.101.34.94:9042</td>\n </tr>\n <tr>\n <td>Schema In Agreement</td>\n <td>true</td>\n </tr>\n </tbody>\n </table>\n </div>\n </div>\n</div>"
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"status": "FINISHED",
"$$hashKey": "object:534"
},
{
"title": "проверяем что данные сохранены в таблице",
"text": "%cassandra\nselect * from zep.languages;",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:51:25+0000",
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{
"type": "TABLE",
"data": "id\tnative_name\nru\tРусский\nja\t日本語 (にほんご)\npl\tJęzyk polski\nzh\t漢語\nen\tEnglish\nde\tDeutsch\n"
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{
"text": "%md\n\nДанные в Kafka поступают через [модифицированную версию Kafka Connect Twitter](https://github.com/alexott/kafka-connect-twitter/tree/kafka-2.2-compatibility-and-more).\n",
"user": "anonymous",
"dateUpdated": "2020-05-28T16:34:18+0000",
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"type": "HTML",
"data": "<div class=\"markdown-body\">\n<p>Данные в Kafka поступают через <a href=\"https://github.com/alexott/kafka-connect-twitter/tree/kafka-2.2-compatibility-and-more\">модифицированную версию Kafka Connect Twitter</a>.</p>\n\n</div>"
}
]
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"jobName": "paragraph_1590579719932_2039793796",
"id": "paragraph_1590579719932_2039793796",
"dateCreated": "2020-05-27T11:41:59+0000",
"dateStarted": "2020-05-28T16:34:16+0000",
"dateFinished": "2020-05-28T16:34:16+0000",
"status": "FINISHED",
"$$hashKey": "object:536"
},
{
"title": "Импортируем требуемые функции и загружаем схему которая будет использоваться для чтения данных из Кафки",
"text": "%spark\n\nimport org.apache.spark.sql.functions._\nimport org.apache.spark.sql.types._\n\n// Этот файл содержит пример одного сообщения, который будет прочитан для создания схемы, которая будет применена для данных в Kafka.\n// Это только поля которые мы будем обрабатывать, само сообщение содержит гораздо больше полей - текст, пользователь, и т.п.\n// {\"payload\":{\"created_at\": \"Sun Jul 01 07:52:55 +0000 2018\", \"lang\": \"en\"}}\n\nval jsonSample = spark.read.json(\"/tweets-2.json\")\nval schema = jsonSample.schema",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:51:33+0000",
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"msg": [
{
"type": "TEXT",
"data": "import org.apache.spark.sql.functions._\nimport org.apache.spark.sql.types._\n\u001b[1m\u001b[34mjsonSample\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.DataFrame\u001b[0m = [payload: struct<created_at: string, lang: string>]\n\u001b[1m\u001b[34mschema\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.types.StructType\u001b[0m = StructType(StructField(payload,StructType(StructField(created_at,StringType,true), StructField(lang,StringType,true)),true))\n"
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"dateCreated": "2020-05-27T11:43:00+0000",
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"status": "FINISHED",
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{
"title": "Инициируем чтение данных из Кафки",
"text": "%spark\n\nval streamingInputDF = spark.readStream\n .format(\"kafka\")\n .option(\"kafka.bootstrap.servers\", \"10.101.36.9:9092\")\n .option(\"subscribe\", \"tweets2\")\n .load()",
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"dateUpdated": "2020-05-29T09:52:02+0000",
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"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/scala",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TEXT",
"data": "\u001b[1m\u001b[34mstreamingInputDF\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.DataFrame\u001b[0m = [key: binary, value: binary ... 5 more fields]\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590580999397_-1931390051",
"id": "paragraph_1590580999397_-1931390051",
"dateCreated": "2020-05-27T12:03:19+0000",
"dateStarted": "2020-05-29T09:52:02+0000",
"dateFinished": "2020-05-29T09:52:03+0000",
"status": "FINISHED",
"$$hashKey": "object:538"
},
{
"title": "Конвертируем key/value поля в строку, и извлекаем данные из JSON",
"text": "%spark\n\nval tweetDF = streamingInputDF.selectExpr(\"CAST(value AS STRING)\")\n .select(from_json($\"value\", schema).as(\"tweet\"))\n .select($\"tweet.payload.created_at\".as(\"created_at\").cast(TimestampType),\n $\"tweet.payload.lang\".as(\"language\"))\n",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:52:08+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {},
"editorSetting": {
"language": "scala",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/scala",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TEXT",
"data": "\u001b[1m\u001b[34mtweetDF\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.DataFrame\u001b[0m = [created_at: timestamp, language: string]\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590581580938_1749512076",
"id": "paragraph_1590581580938_1749512076",
"dateCreated": "2020-05-27T12:13:00+0000",
"dateStarted": "2020-05-29T09:52:08+0000",
"dateFinished": "2020-05-29T09:52:09+0000",
"status": "FINISHED",
"$$hashKey": "object:539"
},
{
"title": "Группируем данные по языку и минуте, и считаем",
"text": "%spark\n\nval streamingCountsDF = tweetDF\n .where(col(\"language\").isNotNull)\n .groupBy($\"language\", window($\"created_at\", \"1 minutes\"))\n .count()\n .select($\"language\", $\"window.start\".as(\"ts\"), $\"count\")\n",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:52:42+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {},
"editorSetting": {
"language": "scala",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/scala",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TEXT",
"data": "\u001b[1m\u001b[34mstreamingCountsDF\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.DataFrame\u001b[0m = [language: string, ts: timestamp ... 1 more field]\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590581876373_1848594083",
"id": "paragraph_1590581876373_1848594083",
"dateCreated": "2020-05-27T12:17:56+0000",
"dateStarted": "2020-05-29T09:52:42+0000",
"dateFinished": "2020-05-29T09:52:43+0000",
"status": "FINISHED",
"$$hashKey": "object:540"
},
{
"title": "Загружаем таблицу из Cassandra",
"text": "%spark\n\nimport org.apache.spark.sql.cassandra._\nval lang_details = spark.read.cassandraFormat(\"languages\", \"zep\").load()\nlang_details.printSchema",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:52:51+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {},
"editorSetting": {
"language": "scala",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/scala",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TEXT",
"data": "root\n |-- id: string (nullable = false)\n |-- native_name: string (nullable = true)\n\nimport org.apache.spark.sql.cassandra._\n\u001b[1m\u001b[34mlang_details\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.DataFrame\u001b[0m = [id: string, native_name: string]\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590586816441_-641397683",
"id": "paragraph_1590586816441_-641397683",
"dateCreated": "2020-05-27T13:40:16+0000",
"dateStarted": "2020-05-29T09:52:51+0000",
"dateFinished": "2020-05-29T09:52:51+0000",
"status": "FINISHED",
"$$hashKey": "object:541"
},
{
"title": "Объединяем поток с данными из Кассандры",
"text": "%spark\n\nval joined = streamingCountsDF.join(lang_details, lang_details(\"id\") === streamingCountsDF(\"language\"), \"left_outer\")\n .select($\"language\", $\"native_name\".as(\"lang_name\"), $\"ts\", $\"count\")",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:52:59+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {},
"editorSetting": {
"language": "scala",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/scala",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TEXT",
"data": "\u001b[1m\u001b[34mjoined\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.DataFrame\u001b[0m = [language: string, lang_name: string ... 2 more fields]\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590588170348_-1029444409",
"id": "paragraph_1590588170348_-1029444409",
"dateCreated": "2020-05-27T14:02:50+0000",
"dateStarted": "2020-05-29T09:52:59+0000",
"dateFinished": "2020-05-29T09:53:00+0000",
"status": "FINISHED",
"$$hashKey": "object:542"
},
{
"title": "Создаем таблицу для хранения статистики",
"text": "%cassandra\n\ndrop table if exists zep.languages_stats;\ncreate table if not exists zep.languages_stats (\n language text,\n lang_name text static,\n ts timestamp,\n count int,\n primary key(language, ts)\n) with clustering order by (ts desc);\n",
"user": "anonymous",
"dateUpdated": "2020-07-13T07:51:55+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {},
"editorSetting": {
"language": "text",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/text",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "HTML",
"data": "\n\n<div class=\"container\">\n<div class=\"row text-center\">\n<h4>No Result</h4>\n</div>\n<br/>\n <div class=\"row\">\n <div class=\"col-md-3\"></div>\n <div class=\"col-md-6 col-offset-md-3 table-responsive table-bordered\">\n <table class=\"table\">\n <caption><h5>Last query execution info</h5></caption>\n <thead>\n <tr>\n <th>Info</th>\n <th>Value</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Statement</td>\n <td>create table if not exists zep.languages_stats (\n language text,\n lang_name text static,\n ts timestamp,\n count int,\n primary key(language, ts)\n) with clustering order by (ts desc);</td>\n </tr>\n <tr>\n <td>Achieved Consistency</td>\n <td>N/A</td>\n </tr>\n <tr>\n <td>Tried Hosts</td>\n <td>10.101.34.94:9042</td>\n </tr>\n <tr>\n <td>Queried Hosts</td>\n <td>10.101.34.94:9042</td>\n </tr>\n <tr>\n <td>Schema In Agreement</td>\n <td>true</td>\n </tr>\n </tbody>\n </table>\n </div>\n </div>\n</div>"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590581954891_-537058260",
"id": "paragraph_1590581954891_-537058260",
"dateCreated": "2020-05-27T12:19:14+0000",
"dateStarted": "2020-05-29T09:53:05+0000",
"dateFinished": "2020-05-29T09:53:09+0000",
"status": "FINISHED",
"$$hashKey": "object:543"
},
{
"title": "Начинаем писать стрим в Кассандру - это запускает обработку потока",
"text": "%spark\n\nval query = joined.writeStream\n .outputMode(\"update\")\n .format(\"org.apache.spark.sql.cassandra\")\n .option(\"checkpointLocation\", \"/tweets-checkpoint\")\n .option(\"keyspace\", \"zep\")\n .option(\"table\", \"languages_stats\")\n .start()\n\n",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:53:14+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {},
"editorSetting": {
"language": "scala",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/scala",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TEXT",
"data": "\u001b[1m\u001b[34mquery\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.streaming.StreamingQuery\u001b[0m = org.apache.spark.sql.execution.streaming.StreamingQueryWrapper@2842df9f\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590581927614_-379647953",
"id": "paragraph_1590581927614_-379647953",
"dateCreated": "2020-05-27T12:18:47+0000",
"dateStarted": "2020-05-29T09:53:14+0000",
"dateFinished": "2020-05-29T09:53:15+0000",
"status": "FINISHED",
"$$hashKey": "object:544"
},
{
"title": "Проверяем прогресс нашего запроса",
"text": "%spark\n\nquery.status",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:53:28+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {},
"editorSetting": {
"language": "scala",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/scala",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TEXT",
"data": "\u001b[1m\u001b[34mres24\u001b[0m: \u001b[1m\u001b[32morg.apache.spark.sql.streaming.StreamingQueryStatus\u001b[0m =\n{\n \"message\" : \"Processing new data\",\n \"isDataAvailable\" : true,\n \"isTriggerActive\" : true\n}\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590584528966_-1415344640",
"id": "paragraph_1590584528966_-1415344640",
"dateCreated": "2020-05-27T13:02:08+0000",
"dateStarted": "2020-05-29T09:53:28+0000",
"dateFinished": "2020-05-29T09:53:29+0000",
"status": "FINISHED",
"$$hashKey": "object:545"
},
{
"title": "Проверяем данные в Кассандре",
"text": "%cassandra\n\nselect * from zep.languages_stats per partition limit 1;",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:53:35+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {
"0": {
"graph": {
"mode": "table",
"height": 300,
"optionOpen": false,
"setting": {
"table": {
"tableGridState": {
"columns": [
{
"name": "language0",
"visible": true,
"width": "*",
"sort": {
"priority": 0,
"direction": "asc"
},
"filters": [
{}
],
"pinned": ""
},
{
"name": "ts1",
"visible": true,
"width": "*",
"sort": {},
"filters": [
{}
],
"pinned": ""
},
{
"name": "lang_name2",
"visible": true,
"width": "*",
"sort": {},
"filters": [
{}
],
"pinned": ""
},
{
"name": "count3",
"visible": true,
"width": "*",
"sort": {},
"filters": [
{}
],
"pinned": ""
}
],
"scrollFocus": {},
"selection": [],
"grouping": {
"grouping": [],
"aggregations": [],
"rowExpandedStates": {}
},
"treeView": {},
"pagination": {
"paginationCurrentPage": 1,
"paginationPageSize": 250
}
},
"tableColumnTypeState": {
"names": {
"language": "string",
"ts": "string",
"lang_name": "string",
"count": "string"
},
"updated": false
},
"tableOptionSpecHash": "[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]",
"tableOptionValue": {
"useFilter": false,
"showPagination": false,
"showAggregationFooter": false
},
"updated": false,
"initialized": false
}
},
"commonSetting": {}
}
}
},
"editorSetting": {
"language": "text",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/text",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TABLE",
"data": "language\tts\tlang_name\tcount\nru\tFri May 29 09:53:00 UTC 2020\tРусский\t5\nes\tFri May 29 09:53:00 UTC 2020\tnull\t25\nja\tFri May 29 09:53:00 UTC 2020\t日本語 (にほんご)\t10\npl\tFri May 29 09:53:00 UTC 2020\tJęzyk polski\t3\nund\tFri May 29 09:53:00 UTC 2020\tnull\t7\ntl\tFri May 29 09:53:00 UTC 2020\tnull\t15\nnl\tFri May 29 09:53:00 UTC 2020\tnull\t1\ntr\tFri May 29 09:53:00 UTC 2020\tnull\t6\npt\tFri May 29 09:53:00 UTC 2020\tnull\t27\nen\tFri May 29 09:53:00 UTC 2020\tEnglish\t269\nit\tFri May 29 09:53:00 UTC 2020\tnull\t10\nca\tFri May 29 09:53:00 UTC 2020\tnull\t1\nda\tFri May 29 09:53:00 UTC 2020\tnull\t1\nlv\tFri May 29 09:53:00 UTC 2020\tnull\t1\nth\tFri May 29 09:53:00 UTC 2020\tnull\t2\nro\tFri May 29 09:53:00 UTC 2020\tnull\t1\nno\tFri May 29 09:53:00 UTC 2020\tnull\t1\nfr\tFri May 29 09:53:00 UTC 2020\tnull\t15\net\tFri May 29 09:53:00 UTC 2020\tnull\t1\nhi\tFri May 29 09:53:00 UTC 2020\tnull\t8\nmr\tFri May 29 09:53:00 UTC 2020\tnull\t1\nin\tFri May 29 09:53:00 UTC 2020\tnull\t22\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590583683750_-1812557105",
"id": "paragraph_1590583683750_-1812557105",
"dateCreated": "2020-05-27T12:48:03+0000",
"dateStarted": "2020-05-29T09:53:35+0000",
"dateFinished": "2020-05-29T09:53:35+0000",
"status": "FINISHED",
"$$hashKey": "object:546"
},
{
"title": "Добавляем больше языков",
"text": "%cassandra\n\ninsert into zep.languages(id, native_name) values ('fr', 'Français');\ninsert into zep.languages(id, native_name) values ('pt', 'Português');\ninsert into zep.languages(id, native_name) values ('el', 'Ελληνικά');\ninsert into zep.languages(id, native_name) values ('it', 'Italiano');\ninsert into zep.languages(id, native_name) values ('es', 'Español');\ninsert into zep.languages(id, native_name) values ('ar', 'العربية');\ninsert into zep.languages(id, native_name) values ('und', 'Undefined');\ninsert into zep.languages(id, native_name) values ('tr', 'Türkçe');\ninsert into zep.languages(id, native_name) values ('th', 'ไทย');\ninsert into zep.languages(id, native_name) values ('ca', 'Català');\ninsert into zep.languages(id, native_name) values ('ko', '한국어');\ninsert into zep.languages(id, native_name) values ('vi', 'Tiếng Việt');",
"user": "anonymous",
"dateUpdated": "2020-05-29T09:53:56+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {},
"editorSetting": {
"language": "text",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/text",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "HTML",
"data": "\n\n<div class=\"container\">\n<div class=\"row text-center\">\n<h4>No Result</h4>\n</div>\n<br/>\n <div class=\"row\">\n <div class=\"col-md-3\"></div>\n <div class=\"col-md-6 col-offset-md-3 table-responsive table-bordered\">\n <table class=\"table\">\n <caption><h5>Last query execution info</h5></caption>\n <thead>\n <tr>\n <th>Info</th>\n <th>Value</th>\n </tr>\n </thead>\n <tbody>\n <tr>\n <td>Statement</td>\n <td>insert into zep.languages(id, native_name) values ('vi', 'Tiếng Việt');</td>\n </tr>\n <tr>\n <td>Achieved Consistency</td>\n <td>N/A</td>\n </tr>\n <tr>\n <td>Tried Hosts</td>\n <td>10.101.34.176:9042</td>\n </tr>\n <tr>\n <td>Queried Hosts</td>\n <td>10.101.34.176:9042</td>\n </tr>\n <tr>\n <td>Schema In Agreement</td>\n <td>true</td>\n </tr>\n </tbody>\n </table>\n </div>\n </div>\n</div>"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590584308135_1009797787",
"id": "paragraph_1590584308135_1009797787",
"dateCreated": "2020-05-27T12:58:28+0000",
"dateStarted": "2020-05-29T09:53:56+0000",
"dateFinished": "2020-05-29T09:53:57+0000",
"status": "FINISHED",
"$$hashKey": "object:547"
},
{
"title": "Проверяем данные в Кассандре еще раз - больше нет null для французского языка",
"text": "%cassandra\n\nselect * from zep.languages_stats per partition limit 1;",
"user": "anonymous",
"dateUpdated": "2020-05-29T14:06:52+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {
"0": {
"graph": {
"mode": "table",
"height": 300,
"optionOpen": false,
"setting": {
"table": {
"tableGridState": {
"columns": [
{
"name": "language0",
"visible": true,
"width": "*",
"sort": {
"priority": 0,
"direction": "asc"
},
"filters": [
{}
],
"pinned": ""
},
{
"name": "ts1",
"visible": true,
"width": "*",
"sort": {},
"filters": [
{}
],
"pinned": ""
},
{
"name": "lang_name2",
"visible": true,
"width": "*",
"sort": {},
"filters": [
{}
],
"pinned": ""
},
{
"name": "count3",
"visible": true,
"width": "*",
"sort": {},
"filters": [
{}
],
"pinned": ""
}
],
"scrollFocus": {},
"selection": [],
"grouping": {
"grouping": [],
"aggregations": [],
"rowExpandedStates": {}
},
"treeView": {},
"pagination": {
"paginationCurrentPage": 1,
"paginationPageSize": 250
}
},
"tableColumnTypeState": {
"names": {
"language": "string",
"ts": "string",
"lang_name": "string",
"count": "string"
},
"updated": false
},
"tableOptionSpecHash": "[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]",
"tableOptionValue": {
"useFilter": false,
"showPagination": false,
"showAggregationFooter": false
},
"updated": false,
"initialized": false
},
"pieChart": {}
},
"commonSetting": {},
"keys": [
{
"name": "language",
"index": 0,
"aggr": "sum"
}
],
"groups": [],
"values": [
{
"name": "count",
"index": 3,
"aggr": "sum"
}
]
},
"helium": {}
}
},
"editorSetting": {
"language": "text",
"editOnDblClick": false,
"completionKey": "TAB",
"completionSupport": true
},
"editorMode": "ace/mode/text",
"title": true
},
"settings": {
"params": {},
"forms": {}
},
"results": {
"code": "SUCCESS",
"msg": [
{
"type": "TABLE",
"data": "language\tts\tlang_name\tcount\nru\tFri May 29 09:54:00 UTC 2020\tРусский\t2\nes\tFri May 29 09:54:00 UTC 2020\tEspañol\t18\nml\tFri May 29 09:53:00 UTC 2020\tnull\t1\nja\tFri May 29 09:54:00 UTC 2020\t日本語 (にほんご)\t4\npl\tFri May 29 09:53:00 UTC 2020\tJęzyk polski\t8\nund\tFri May 29 09:54:00 UTC 2020\tUndefined\t4\ntl\tFri May 29 09:54:00 UTC 2020\tnull\t9\ncy\tFri May 29 09:53:00 UTC 2020\tnull\t1\nnl\tFri May 29 09:54:00 UTC 2020\tnull\t1\ntr\tFri May 29 09:54:00 UTC 2020\tTürkçe\t3\npt\tFri May 29 09:54:00 UTC 2020\tPortuguês\t8\nen\tFri May 29 09:54:00 UTC 2020\tEnglish\t133\nit\tFri May 29 09:54:00 UTC 2020\tItaliano\t4\nca\tFri May 29 09:54:00 UTC 2020\tCatalà\t1\nda\tFri May 29 09:53:00 UTC 2020\tnull\t2\nlv\tFri May 29 09:53:00 UTC 2020\tnull\t1\nde\tFri May 29 09:53:00 UTC 2020\tDeutsch\t7\nth\tFri May 29 09:54:00 UTC 2020\tไทย\t1\nro\tFri May 29 09:53:00 UTC 2020\tnull\t1\nta\tFri May 29 09:53:00 UTC 2020\tnull\t2\nno\tFri May 29 09:53:00 UTC 2020\tnull\t1\nsv\tFri May 29 09:53:00 UTC 2020\tnull\t2\nfr\tFri May 29 09:54:00 UTC 2020\tFrançais\t15\net\tFri May 29 09:53:00 UTC 2020\tnull\t1\nhi\tFri May 29 09:53:00 UTC 2020\tnull\t17\nmr\tFri May 29 09:54:00 UTC 2020\tnull\t1\ngu\tFri May 29 09:53:00 UTC 2020\tnull\t1\nin\tFri May 29 09:54:00 UTC 2020\tnull\t11\n"
}
]
},
"apps": [],
"runtimeInfos": {},
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1590589108415_-538010497",
"id": "paragraph_1590589108415_-538010497",
"dateCreated": "2020-05-27T14:18:28+0000",
"dateStarted": "2020-05-29T09:54:16+0000",
"dateFinished": "2020-05-29T09:54:16+0000",
"status": "FINISHED",
"$$hashKey": "object:548"
},
{
"text": "%spark\n\n// Эта команда работает поскольку Zeppelin работает на DSE Analytics, который автоматически регистрирует все таблицы в Cassandra.\n// Для OSS Spark, необходимо явно зарегистрировать таблицу как описано в документации:\n// https://github.com/datastax/spark-cassandra-connector/blob/master/doc/14_data_frames.md#example-creating-a-source-using-spark-sql\nz.show(spark.sql(\"select distinct language, lang_name, sum(count) as total_count from zep.languages_stats group by language, lang_name order by total_count desc\"))\n",
"user": "anonymous",
"dateUpdated": "2020-05-29T14:06:44+0000",
"config": {
"colWidth": 12,
"fontSize": 9,
"enabled": true,
"results": {
"0": {
"graph": {
"mode": "pieChart",
"height": 300,
"optionOpen": false,
"setting": {
"table": {
"tableGridState": {},
"tableColumnTypeState": {
"names": {
"language": "string",
"lang_name": "string",
"total_count": "string"
},
"updated": false
},
"tableOptionSpecHash": "[{\"name\":\"useFilter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable filter for columns\"},{\"name\":\"showPagination\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable pagination for better navigation\"},{\"name\":\"showAggregationFooter\",\"valueType\":\"boolean\",\"defaultValue\":false,\"widget\":\"checkbox\",\"description\":\"Enable a footer for displaying aggregated values\"}]",
"tableOptionValue": {
"useFilter": false,
"showPagination": false,
"showAggregationFooter": false
},
"updated": false,
"initialized": false
},
"pieChart": {}
},
"commonSetting": {},
"keys": [
{
"name": "language",
"index": 0,
"aggr": "sum"
}
],
"groups": [],
"values": [