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October 13, 2015 18:05
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Getting started with the Tableau Data Extract API
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Importing the **Extract API**" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 1, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"import dataextract as tde" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##I'll generate some data so let's import **random** and **string** too" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 2, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"from random import randrange, random, choice\n", | |
"import string" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##What is the simplest way to create an extract programatically?" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 3, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"created Extract\n" | |
] | |
} | |
], | |
"source": [ | |
"with tde.Extract('TC15_Extract.tde') as extract:\n", | |
" \n", | |
" # create a data model\n", | |
" tableDef = tde.TableDefinition()\n", | |
" tableDef.addColumn('rowID', tde.Type.INTEGER)\n", | |
" tableDef.addColumn('tag', tde.Type.CHAR_STRING)\n", | |
" tableDef.addColumn('value', tde.Type.DOUBLE)\n", | |
" \n", | |
" # give it a name, as long as you call it 'Extract'\n", | |
" table = extract.addTable('Extract', tableDef)\n", | |
"\n", | |
" # define a row to insert\n", | |
" new_row = tde.Row(tableDef)\n", | |
"\n", | |
" # populate each row with data\n", | |
" for i in xrange(10):\n", | |
" new_row.setInteger(0, i)\n", | |
" new_row.setCharString(1, choice(string.ascii_lowercase))\n", | |
" new_row.setDouble(2, random())\n", | |
" \n", | |
" # write each row to the .tde\n", | |
" table.insert(new_row)\n", | |
"\n", | |
"print \"created Extract\"" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Now, let's see what this thing looks like" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 4, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"import os\n", | |
"\n", | |
"# open the working directory\n", | |
"os.startfile(os.getcwd())" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Nice, let's publish this to Tableau Server." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 5, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [], | |
"source": [ | |
"# cd to the bin directory\n", | |
"# use tabcmd to log in\n", | |
"# publish to server\n", | |
"\n", | |
"extract_folder = \"C:\\Users\\ehannell\\Desktop\\TC15\\Extract_API\"\n", | |
"\n", | |
"# cd to the bin folder...\n", | |
"os.chdir(\"C:\\\\Program Files (x86)\\Tableau\\Tableau Server\\9.1\\\\bin\") #\\\\ escapes spaces in file path\n", | |
"\n", | |
"os.system(\"tabcmd login -s http://localhost:8000 -u admin -p admin\")\n", | |
"\n", | |
"os.system('tabcmd publish \"' + extract_folder + '\\TC15_Extract.tde' + '\" -n \"Test Extract\"')\n", | |
"\n", | |
"os.chdir(extract_folder)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"###[let's take a look](http://localhost:8000/#/datasources)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": { | |
"collapsed": true | |
}, | |
"source": [ | |
"##But, what if we want to append?" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 6, | |
"metadata": { | |
"collapsed": false | |
}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"Appending to an existing extract\n" | |
] | |
} | |
], | |
"source": [ | |
"current_file = \"TC15_Extract.tde\"\n", | |
"\n", | |
"with tde.Extract(current_file) as extract:\n", | |
" \n", | |
" # working with the same data model\n", | |
" tableDef = tde.TableDefinition()\n", | |
" tableDef.addColumn('rowID', tde.Type.INTEGER)\n", | |
" tableDef.addColumn('tag', tde.Type.CHAR_STRING)\n", | |
" tableDef.addColumn('value', tde.Type.DOUBLE)\n", | |
" \n", | |
" # declare an empty table\n", | |
" table = None\n", | |
"\n", | |
" if not extract.hasTable('Extract'):\n", | |
" # Table does not exist, so create it.\n", | |
" print \"Creating a new extract\"\n", | |
" table = extract.addTable('Extract', tableDef)\n", | |
" else:\n", | |
" # Table exists, so append the new data.\n", | |
" print \"Appending to an existing extract\"\n", | |
" table = extract.openTable('Extract')\n", | |
"\n", | |
" new_row = tde.Row(tableDef)\n", | |
"\n", | |
" for i in range(10):\n", | |
" new_row.setInteger(0, i)\n", | |
" new_row.setCharString(1, choice(string.ascii_lowercase))\n", | |
" new_row.setDouble(2, random())\n", | |
" table.insert(new_row)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Nice, let's send that to server too." | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 7, | |
"metadata": { | |
"collapsed": true | |
}, | |
"outputs": [], | |
"source": [ | |
"extract_folder = \"C:\\Users\\ehannell\\Desktop\\TC15\\Extract_API\"\n", | |
"\n", | |
"os.chdir(\"C:\\\\Program Files (x86)\\Tableau\\Tableau Server\\9.1\\\\bin\")\n", | |
"os.system(\"tabcmd login -s http://localhost:8000 -u admin -p admin\")\n", | |
"\n", | |
"# overwrite old extract w/ -replace\n", | |
"os.system('tabcmd publish \"' + extract_folder + '\\TC15_Extract.tde' + '\" -name \"Test Extract\" -replace') \n", | |
"\n", | |
"os.chdir(extract_folder)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"###[let's take a look](http://localhost:8000/#/datasources)" | |
] | |
}, | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"##Now that we can create, append and publish, what's next?" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 2", | |
"language": "python", | |
"name": "python2" | |
}, | |
"language_info": { | |
"codemirror_mode": { | |
"name": "ipython", | |
"version": 2 | |
}, | |
"file_extension": ".py", | |
"mimetype": "text/x-python", | |
"name": "python", | |
"nbconvert_exporter": "python", | |
"pygments_lexer": "ipython2", | |
"version": "2.7.7" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 0 | |
} |
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