This is an automated email from the ASF dual-hosted git repository.
zjffdu pushed a commit to branch branch-0.9
in repository https://gitbox.apache.org/repos/asf/zeppelin.git
commit fdd08f0d85d37a8374c42dba43b9df8e6da97829
Author: Jeff Zhang <zjf...@apache.org>
AuthorDate: Mon Mar 23 15:06:29 2020 +0800
[minor] update flink tutorial note
---
notebook/Flink Tutorial/Batch ETL_2EW19CSPA.zpln | 43 +-------
.../Exploratory Data Analytics_2EZ9G3JJU.zpln | 112 +--------------------
.../Flink Tutorial/Streaming ETL_2EYD56B9B.zpln | 13 +--
3 files changed, 5 insertions(+), 163 deletions(-)
diff --git a/notebook/Flink Tutorial/Batch ETL_2EW19CSPA.zpln b/notebook/Flink
Tutorial/Batch ETL_2EW19CSPA.zpln
index e924796..27b4f3a 100644
--- a/notebook/Flink Tutorial/Batch ETL_2EW19CSPA.zpln
+++ b/notebook/Flink Tutorial/Batch ETL_2EW19CSPA.zpln
@@ -45,40 +45,6 @@
"status": "FINISHED"
},
{
- "text": "%flink.conf\n\nflink.interpreter.close.shutdown_cluster false",
- "user": "anonymous",
- "dateUpdated": "2020-02-25 09:33:04.023",
- "config": {
- "colWidth": 12.0,
- "fontSize": 9.0,
- "enabled": true,
- "results": {},
- "editorSetting": {
- "language": "text",
- "editOnDblClick": false,
- "completionKey": "TAB",
- "completionSupport": true
- },
- "editorMode": "ace/mode/text"
- },
- "settings": {
- "params": {},
- "forms": {}
- },
- "results": {
- "code": "SUCCESS",
- "msg": []
- },
- "apps": [],
- "progressUpdateIntervalMs": 500,
- "jobName": "paragraph_1582594367896_465966821",
- "id": "paragraph_1582594367896_465966821",
- "dateCreated": "2020-02-25 09:32:47.896",
- "dateStarted": "2020-02-25 09:33:04.028",
- "dateFinished": "2020-02-25 09:33:04.032",
- "status": "FINISHED"
- },
- {
"title": "Download bank data",
"text": "%sh\n\ncd /tmp\nwget
https://archive.ics.uci.edu/ml/machine-learning-databases/00222/bank.zip\ntar
-xvf bank.zip\n# upload data to hdfs if you want to run it in yarn mode\n#
hadoop fs -put /tmp/bank.csv /tmp/bank.csv\n",
"user": "anonymous",
@@ -499,18 +465,11 @@
"id": "2EW19CSPA",
"defaultInterpreterGroup": "flink",
"version": "0.9.0-SNAPSHOT",
- "permissions": {
- "owners": [],
- "runners": [],
- "readers": [],
- "writers": []
- },
"noteParams": {},
"noteForms": {},
"angularObjects": {},
"config": {
"isZeppelinNotebookCronEnable": false
},
- "info": {},
- "path": "/Flink Tutorial/Batch ETL"
+ "info": {}
}
\ No newline at end of file
diff --git a/notebook/Flink Tutorial/Exploratory Data Analytics_2EZ9G3JJU.zpln
b/notebook/Flink Tutorial/Exploratory Data Analytics_2EZ9G3JJU.zpln
index cd13d1c..8c6a041 100644
--- a/notebook/Flink Tutorial/Exploratory Data Analytics_2EZ9G3JJU.zpln
+++ b/notebook/Flink Tutorial/Exploratory Data Analytics_2EZ9G3JJU.zpln
@@ -26,15 +26,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "HTML",
- "data": "\u003cdiv
class\u003d\"markdown-body\"\u003e\n\u003cp\u003eThis tutorial demonstrates how
to use Flink do data exploration analytics via
its.\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003ebatch
sql\u003c/li\u003e\n\u003cli\u003eudf (scala, python \u0026amp;
hive)\u003c/li\u003e\n\u003cli\u003eZeppelin\u0026rsquo;s dynamic forms and
builtin visualization\u003c/li\u003e\n\u003c/ul\u003e\n\u003cp\u003eWe the bank
data registered in another tutorial note. You can also use [...]
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1579053946947_-1754951794",
@@ -120,15 +111,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TABLE",
- "data":
"age\taval\n19\t4\n20\t3\n21\t7\n22\t9\n23\t20\n24\t24\n25\t44\n26\t77\n27\t94\n28\t103\n29\t97\n"
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1578043926895_1558885985",
@@ -223,15 +205,6 @@
}
}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TABLE",
- "data":
"age\tval\n19\t4\n20\t3\n21\t7\n22\t9\n23\t20\n24\t24\n25\t44\n26\t77\n27\t94\n28\t103\n29\t97\n30\t150\n31\t199\n32\t224\n33\t186\n34\t231\n35\t180\n36\t188\n37\t161\n38\t159\n39\t130\n40\t142\n41\t135\n42\t141\n43\t115\n44\t105\n45\t112\n46\t119\n47\t108\n48\t114\n49\t112\n"
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1578904010994_-1300955750",
@@ -337,15 +310,6 @@
}
}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TABLE",
- "data":
"age\tval\n23\t3\n24\t11\n25\t11\n26\t18\n27\t26\n28\t23\n29\t37\n30\t56\n31\t104\n32\t105\n33\t103\n34\t142\n35\t109\n36\t117\n37\t100\n38\t99\n39\t88\n40\t105\n41\t97\n42\t91\n43\t79\n44\t68\n45\t76\n46\t82\n47\t78\n48\t91\n49\t87\n50\t74\n51\t63\n52\t66\n53\t75\n54\t56\n55\t68\n56\t50\n57\t78\n58\t67\n59\t56\n60\t36\n61\t15\n62\t5\n63\t7\n64\t6\n65\t4\n66\t7\n67\t5\n68\t1\n69\t5\n70\t5\n71\t5\n72\t4\n73\t6\n74\t2\n75\t3\n76\t1\n77\t5\n78\t2\n79\t3\n80\t6\n81\t1\n83
[...]
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1578904047823_-1212655985",
@@ -380,15 +344,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TEXT",
- "data": "defined class ScalaUpper\n"
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1578905208609_-1175158458",
@@ -423,10 +378,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": []
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1578905223714_1228156151",
@@ -467,15 +418,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TEXT",
- "data": "The following commands are available:\n\nCREATE
TABLE\t\tCreate table under current catalog and database.\nDROP TABLE\t\tDrop
table with optional catalog and database. Syntax: \u0027DROP TABLE [IF EXISTS]
\u003cname\u003e;\u0027\nCREATE VIEW\t\tCreates a virtual table from a SQL
query. Syntax: \u0027CREATE VIEW \u003cname\u003e AS
\u003cquery\u003e;\u0027\nDESCRIBE\t\tDescribes the schema of a table with the
given name.\nDROP VIEW\t\tDeletes a previously created virt [...]
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1580872625746_1221957461",
@@ -561,15 +503,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TABLE",
- "data":
"EXPR$0\tEXPR$1\nPRIMARY\t678\nSECONDARY\t2306\nTERTIARY\t1350\nUNKNOWN\t187\n"
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1578905241045_-678553675",
@@ -668,15 +601,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TABLE",
- "data":
"edu\tc\nPRIMARY\t678\nSECONDARY\t2306\nTERTIARY\t1350\nUNKNOWN\t187\n"
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1578905276271_782994324",
@@ -765,15 +689,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TABLE",
- "data":
"tab_name\nbank\nbank_raw\ndepartments\ndest_csv\ndest_orc\nemployee\nitems\nsink_kafka\nsource_csv\nsource_kafka\nweb_log_small\n"
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1580889919226_-1710921935",
@@ -834,15 +749,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TABLE",
- "data":
"table\nUnnamedTable$0\nbank\nbank_raw\ndepartments\ndest_csv\ndest_orc\nemployee\nitems\nsink_kafka\nsource_csv\nsource_kafka\nweb_log_small\n"
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1580890881367_1309558694",
@@ -906,15 +812,6 @@
"params": {},
"forms": {}
},
- "results": {
- "code": "SUCCESS",
- "msg": [
- {
- "type": "TABLE",
- "data":
"eid\tname\tsalary\tdestination\n1201\tGopal\t45000\tTechnical
manager\n1202\tManisha\t45000\tProof
reader\n1203\tMasthanvali\t40000\tTechnical writer\n1204\tKiran\t40000\tHr
Admin\n1205\tKranthi\t30000\tOp Admin\n"
- }
- ]
- },
"apps": [],
"progressUpdateIntervalMs": 500,
"jobName": "paragraph_1578043607185_590649655",
@@ -945,18 +842,11 @@
"id": "2EZ9G3JJU",
"defaultInterpreterGroup": "flink",
"version": "0.9.0-SNAPSHOT",
- "permissions": {
- "owners": [],
- "runners": [],
- "readers": [],
- "writers": []
- },
"noteParams": {},
"noteForms": {},
"angularObjects": {},
"config": {
"isZeppelinNotebookCronEnable": false
},
- "info": {},
- "path": "/Flink Tutorial/Exploratory Data Analytics"
+ "info": {}
}
\ No newline at end of file
diff --git a/notebook/Flink Tutorial/Streaming ETL_2EYD56B9B.zpln
b/notebook/Flink Tutorial/Streaming ETL_2EYD56B9B.zpln
index 06d5be2..d7d58f7 100644
--- a/notebook/Flink Tutorial/Streaming ETL_2EYD56B9B.zpln
+++ b/notebook/Flink Tutorial/Streaming ETL_2EYD56B9B.zpln
@@ -4,10 +4,10 @@
"title": "Overview",
"text": "%md\n\nThis tutorial demonstrate how to use Flink do streaming
processing via its streaming sql + udf. In this tutorial, we read data from
kafka queue and do some simple processing (just filtering here) and then write
it back to another kafka queue. We use this
[docker](https://kafka-connect-datagen.readthedocs.io/en/latest/) to create
kafka cluster and source data \n\n",
"user": "anonymous",
- "dateUpdated": "2020-01-19 15:36:08.418",
+ "dateUpdated": "2020-03-23 15:03:54.596",
"config": {
"runOnSelectionChange": true,
- "title": false,
+ "title": true,
"checkEmpty": true,
"colWidth": 12.0,
"fontSize": 9.0,
@@ -324,18 +324,11 @@
"id": "2EYD56B9B",
"defaultInterpreterGroup": "spark",
"version": "0.9.0-SNAPSHOT",
- "permissions": {
- "owners": [],
- "runners": [],
- "readers": [],
- "writers": []
- },
"noteParams": {},
"noteForms": {},
"angularObjects": {},
"config": {
"isZeppelinNotebookCronEnable": false
},
- "info": {},
- "path": "/Flink Tutorial/Streaming ETL"
+ "info": {}
}
\ No newline at end of file
