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From ahyoung...@apache.org
Subject [1/4] zeppelin git commit: [BugFix] Tutorial note json format.
Date Fri, 23 Dec 2016 03:54:29 GMT
Repository: zeppelin
Updated Branches:
  refs/heads/master 125a42ca1 -> 6808bdc69


http://git-wip-us.apache.org/repos/asf/zeppelin/blob/6808bdc6/notebook/2C2AUG798/note.json
----------------------------------------------------------------------
diff --git a/notebook/2C2AUG798/note.json b/notebook/2C2AUG798/note.json
index ad1c98a..7e0a1b7 100644
--- a/notebook/2C2AUG798/note.json
+++ b/notebook/2C2AUG798/note.json
@@ -2,22 +2,31 @@
   "paragraphs": [
     {
       "text": "%md\n## Introduction\nIn this tutorial we will go through some of the basic features of Zeppelin\u0027s built-in matplotlib integration. \n\n### Prerequisites\n`matplotlib` must be installed to your local python installation. (use `pip install matplotlib` or `conda install matplotlib` if you have `conda`). Additionally, you will need Zeppelin\u0027s matplotlib backend files which are usually found in `$ZEPPELIN_HOME/lib/python`. Although Zeppelin should automatically find this directory, it might be a good idea to add it to your `PYTHONPATH` just in case. \n\n### Interpreters\nMost of the examples shown in this tutorial can be used interchangeably with either the `python` or `pyspark` interpreters. Iterative plotting using the Angular Display System is currently only available for `pyspark`, but this functionality will eventually be added to the base `python` interpreter. \n\n### macOS\nMake sure locale is set, to avoid `ValueError: unknown locale: UTF-8`\n\n### virtu
 alenv\nIn case you want to use virtualenv or conda env:\n - configure python interpreter property -\u003e `absolute/path/to/venv/bin/python`\n - see *Working with Matplotlib in Virtual environments* in the [Matplotlib FAQ](http://matplotlib.org/faq/virtualenv_faq.html)\n \n### A simple example\nLet\u0027s start by making a very simple line plot:",
-      "dateUpdated": "Nov 2, 2016 2:53:47 PM",
+      "user": "anonymous",
+      "dateUpdated": "Dec 17, 2016 3:33:25 PM",
       "config": {
         "tableHide": false,
         "colWidth": 12.0,
-        "editorMode": "ace/mode/markdown",
+        "editorMode": "ace/mode/text",
         "editorHide": true,
-        "graph": {
-          "mode": "table",
-          "height": 300.0,
-          "optionOpen": false,
-          "keys": [],
-          "values": [],
-          "groups": [],
-          "scatter": {}
-        },
-        "enabled": true
+        "enabled": true,
+        "results": [
+          {
+            "graph": {
+              "mode": "table",
+              "height": 300.0,
+              "optionOpen": false,
+              "keys": [],
+              "values": [],
+              "groups": [],
+              "scatter": {}
+            }
+          }
+        ],
+        "editorSetting": {
+          "language": "text",
+          "editOnDblClick": false
+        }
       },
       "settings": {
         "params": {},
@@ -26,14 +35,19 @@
       "apps": [],
       "jobName": "paragraph_1478123627954_-1473548609",
       "id": "20160614-174657_1772993700",
-      "result": {
+      "results": {
         "code": "SUCCESS",
-        "type": "HTML",
-        "msg": "\u003ch2\u003eIntroduction\u003c/h2\u003e\n\u003cp\u003eIn this tutorial we will go through some of the basic features of Zeppelin\u0027s built-in matplotlib integration.\u003c/p\u003e\n\u003ch3\u003ePrerequisites\u003c/h3\u003e\n\u003cp\u003e\u003ccode\u003ematplotlib\u003c/code\u003e must be installed to your local python installation. (use \u003ccode\u003epip install matplotlib\u003c/code\u003e or \u003ccode\u003econda install matplotlib\u003c/code\u003e if you have \u003ccode\u003econda\u003c/code\u003e). Additionally, you will need Zeppelin\u0027s matplotlib backend files which are usually found in \u003ccode\u003e$ZEPPELIN_HOME/lib/python\u003c/code\u003e. Although Zeppelin should automatically find this directory, it might be a good idea to add it to your \u003ccode\u003ePYTHONPATH\u003c/code\u003e just in case.\u003c/p\u003e\n\u003ch3\u003eInterpreters\u003c/h3\u003e\n\u003cp\u003eMost of the examples shown in this tutorial can be used interchangeably with ei
 ther the \u003ccode\u003epython\u003c/code\u003e or \u003ccode\u003epyspark\u003c/code\u003e interpreters. Iterative plotting using the Angular Display System is currently only available for \u003ccode\u003epyspark\u003c/code\u003e, but this functionality will eventually be added to the base \u003ccode\u003epython\u003c/code\u003e interpreter.\u003c/p\u003e\n\u003ch3\u003emacOS\u003c/h3\u003e\n\u003cp\u003eMake sure locale is set, to avoid \u003ccode\u003eValueError: unknown locale: UTF-8\u003c/code\u003e\u003c/p\u003e\n\u003ch3\u003evirtualenv\u003c/h3\u003e\n\u003cp\u003eIn case you want to use virtualenv or conda env:\u003c/p\u003e\n\u003cul\u003e\n\u003cli\u003econfigure python interpreter property -\u003e \u003ccode\u003eabsolute/path/to/venv/bin/python\u003c/code\u003e\u003c/li\u003e\n\u003cli\u003esee \u003cem\u003eWorking with Matplotlib in Virtual environments\u003c/em\u003e in the \u003ca href\u003d\"http://matplotlib.org/faq/virtualenv_faq.html\"\u003eMatplotlib FAQ\u003c
 /a\u003e\u003c/li\u003e\n\u003c/ul\u003e\n\u003ch3\u003eA simple example\u003c/h3\u003e\n\u003cp\u003eLet\u0027s start by making a very simple line plot:\u003c/p\u003e\n"
+        "msg": [
+          {
+            "type": "HTML",
+            "data": "\u003cdiv class\u003d\"markdown-body\"\u003e\n\u003ch2\u003eIntroduction\u003c/h2\u003e\n\u003cp\u003eIn this tutorial we will go through some of the basic features of Zeppelin\u0026rsquo;s built-in matplotlib integration. \u003c/p\u003e\n\u003ch3\u003ePrerequisites\u003c/h3\u003e\n\u003cp\u003e\u003ccode\u003ematplotlib\u003c/code\u003e must be installed to your local python installation. (use \u003ccode\u003epip install matplotlib\u003c/code\u003e or \u003ccode\u003econda install matplotlib\u003c/code\u003e if you have \u003ccode\u003econda\u003c/code\u003e). Additionally, you will need Zeppelin\u0026rsquo;s matplotlib backend files which are usually found in \u003ccode\u003e$ZEPPELIN_HOME/lib/python\u003c/code\u003e. Although Zeppelin should automatically find this directory, it might be a good idea to add it to your \u003ccode\u003ePYTHONPATH\u003c/code\u003e just in case. \u003c/p\u003e\n\u003ch3\u003eInterpreters\u003c/h3\u003e\n\u003cp\u003eMost of the ex
 amples shown in this tutorial can be used interchangeably with either the \u003ccode\u003epython\u003c/code\u003e or \u003ccode\u003epyspark\u003c/code\u003e interpreters. Iterative plotting using the Angular Display System is currently only available for \u003ccode\u003epyspark\u003c/code\u003e, but this functionality will eventually be added to the base \u003ccode\u003epython\u003c/code\u003e interpreter. \u003c/p\u003e\n\u003ch3\u003emacOS\u003c/h3\u003e\n\u003cp\u003eMake sure locale is set, to avoid \u003ccode\u003eValueError: unknown locale: UTF-8\u003c/code\u003e\u003c/p\u003e\n\u003ch3\u003evirtualenv\u003c/h3\u003e\n\u003cp\u003eIn case you want to use virtualenv or conda env:\u003cbr/\u003e - configure python interpreter property -\u0026gt; \u003ccode\u003eabsolute/path/to/venv/bin/python\u003c/code\u003e\u003cbr/\u003e - see \u003cem\u003eWorking with Matplotlib in Virtual environments\u003c/em\u003e in the \u003ca href\u003d\"http://matplotlib.org/faq/virtualenv_faq.html
 \"\u003eMatplotlib FAQ\u003c/a\u003e\u003c/p\u003e\n\u003ch3\u003eA simple example\u003c/h3\u003e\n\u003cp\u003eLet\u0026rsquo;s start by making a very simple line plot:\u003c/p\u003e\n\u003c/div\u003e"
+          }
+        ]
       },
       "dateCreated": "Nov 2, 2016 2:53:47 PM",
-      "status": "READY",
-      "errorMessage": "",
+      "dateStarted": "Dec 17, 2016 3:33:25 PM",
+      "dateFinished": "Dec 17, 2016 3:33:25 PM",
+      "status": "FINISHED",
       "progressUpdateIntervalMs": 500
     },
     {
@@ -42,16 +56,20 @@
       "config": {
         "colWidth": 12.0,
         "editorMode": "ace/mode/python",
-        "graph": {
-          "mode": "table",
-          "height": 300.0,
-          "optionOpen": false,
-          "keys": [],
-          "values": [],
-          "groups": [],
-          "scatter": {}
-        },
-        "enabled": true
+        "enabled": true,
+        "results": [
+          {
+            "graph": {
+              "mode": "table",
+              "height": 300.0,
+              "optionOpen": false,
+              "keys": [],
+              "values": [],
+              "groups": [],
+              "scatter": {}
+            }
+          }
+        ]
       },
       "settings": {
         "params": {},
@@ -60,10 +78,14 @@
       "apps": [],
       "jobName": "paragraph_1478123627958_-1475087605",
       "id": "20161101-192232_289486976",
-      "result": {
+      "results": {
         "code": "SUCCESS",
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