diff --git a/.gitignore b/.gitignore index ddbbf9a0..a7e4dd8a 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,5 @@ *.pyc test.py pydruid/bard.py -.idea/ \ No newline at end of file +.DS_store +.idea/ diff --git a/README.md b/README.md new file mode 100644 index 00000000..d4672ec3 --- /dev/null +++ b/README.md @@ -0,0 +1,128 @@ +#pydruid +pydruid exposes a simple API to create, execute, and analyze [Druid](http://druid.io/) queries. pydruid can parse query results into [Pandas](http://pandas.pydata.org/) DataFrame objects for subsequent data analysis -- this offers a tight integration between [Druid](http://druid.io/), the [SciPy](http://www.scipy.org/stackspec.html) stack (for scientific computing) and [scikit-learn](http://scikit-learn.org/stable/) (for machine learning). Additionally, pydruid can export query results into TSV or JSON for further processing with your favorite tool, e.g., R, Julia, Matlab, Excel. + +#examples + +The following exampes show how to execute and analyze the results of three types of queries: timeseries, topN, and groupby. We will use these queries to ask simple questions about twitter's public data set. + +## timeseries + +What was the average tweet length, per day, surrounding the 2014 Sochi olympics? + +```python +from pydruid.client import * +from pylab import plt + +query = PyDruid(bard_url_goes_here, 'druid/v2') + +ts = query.timeseries( + datasource='twitterstream', + granularity='day', + intervals='2014-02-02/p4w', + aggregations={'length': doublesum('tweet_length'), 'count': doublesum('count')}, + post_aggregations={'avg_tweet_length': (Field('length') / Field('count'))}, + filter=Dimension('first_hashtag') == 'sochi2014' +) +df = query.export_pandas() +df['timestamp'] = df['timestamp'].map(lambda x: x.split('T')[0]) +df.plot(x='timestamp', y='avg_tweet_length', ylim=(80, 140), rot=20, + title='Sochi 2014') +plt.ylabel('avg tweet length (chars)') +plt.show() +``` + +![alt text](https://github.com/metamx/pydruid/raw/docs/docs/figures/avg_tweet_length.png "Avg. tweet length") + +## topN + +Who were the top ten mentions (@user_name) during the 2014 Oscars? + +```python +top = query.topn( + datasource='twitterstream', + granularity='all', + intervals='2014-03-03/p1d', # utc time of 2014 oscars + aggregations={'count': doublesum('count')}, + dimension='user_mention_name', + filter=(Dimension('user_lang') == 'en') & (Dimension('first_hashtag') == 'oscars') & + (Dimension('user_time_zone') == 'Pacific Time (US & Canada)') & + ~(Dimension('user_mention_name') == 'No Mention'), + metric='count', + threshold=10 +) + +df = query.export_pandas() +print df + + count timestamp user_mention_name +0 1303 2014-03-03T00:00:00.000Z TheEllenShow +1 44 2014-03-03T00:00:00.000Z TheAcademy +2 21 2014-03-03T00:00:00.000Z MTV +3 21 2014-03-03T00:00:00.000Z peoplemag +4 17 2014-03-03T00:00:00.000Z THR +5 16 2014-03-03T00:00:00.000Z ItsQueenElsa +6 16 2014-03-03T00:00:00.000Z eonline +7 15 2014-03-03T00:00:00.000Z PerezHilton +8 14 2014-03-03T00:00:00.000Z realjohngreen +9 12 2014-03-03T00:00:00.000Z KevinSpacey + +``` + +## groupby + +What does the social network of users replying to other users look like? + +```python +from igraph import * +from cairo import * +from pandas import concat + +group = query.groupby( + datasource='twitterstream', + granularity='hour', + intervals='2013-10-04/pt12h', + dimensions=["user_name", "reply_to_name"], + filter=(~(Dimension("reply_to_name") == "Not A Reply")) & + (Dimension("user_location") == "California"), + aggregations={"count": doublesum("count")} +) + +df = query.export_pandas() + +# map names to categorical variables with a lookup table +names = concat([df['user_name'], df['reply_to_name']]).unique() +nameLookup = dict([pair[::-1] for pair in enumerate(names)]) +df['user_name_lookup'] = df['user_name'].map(nameLookup.get) +df['reply_to_name_lookup'] = df['reply_to_name'].map(nameLookup.get) + +# create the graph with igraph +g = Graph(len(names), directed=False) +vertices = zip(df['user_name_lookup'], df['reply_to_name_lookup']) +g.vs["name"] = names +g.add_edges(vertices) +layout = g.layout_fruchterman_reingold() +plot(g, "tweets.png", layout=layout, vertex_size=2, bbox=(400, 400), margin=25, edge_width=1, vertex_color="blue") +``` + +![alt text](https://github.com/metamx/pydruid/raw/docs/docs/figures/twitter_graph.png "Social Network") + + +#documentation + +pydruid is a [Sphinx](http://sphinx-doc.org/) project. You can view documentation locally by opening the following with a web browser: + +```python +pydruid/docs/build/html/index.html +``` + +The docstrings are written in [ReStructuredText](http://docutils.sourceforge.net/rst.html). If edited, documentation can be re-generated by running: + +```python +make html +``` + +from within the docs directory, assuming Sphinx is installed on your machine. + + + + diff --git a/README.txt b/README.txt deleted file mode 100644 index de43975a..00000000 --- a/README.txt +++ /dev/null @@ -1,27 +0,0 @@ -=========== -pyDruid -=========== - -pyDruid provides a python interface to the Druid analytic store. Typical usage -often looks like this:: - - #!/usr/bin/env python - - from pydruid.client import * - - # Druid Config - endpoint = 'druid/v2/?pretty' - demo_bard_url = 'http://localhost:8083' - dataSource = 'wikipedia' - intervals = ["2013-01-01/p1y"] - - query = pyDruid(demo_bard_url, endpoint) - - counts = query.timeseries(dataSource = dataSource, - granularity = "minute", - intervals = intervals, - aggregations = {"count" : doubleSum("edits")} - ) - - print counts - [{'timestamp': '2013-09-30T23:31:00.000Z', 'result': {'count': 0.0}}, {'timestamp': '2013-09-30T23:32:00.000Z', 'result': {'count': 0.0}}, {'timestamp': '2013-09-30T23:33:00.000Z', 'result': {'count': 0.0}}, {'timestamp': '2013-09-30T23:34:00.000Z', 'result': {'count': 0.0}}] diff --git a/docs/.DS_Store b/docs/.DS_Store new file mode 100644 index 00000000..16d875f0 Binary files /dev/null and b/docs/.DS_Store differ diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 00000000..ec4d552b --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,177 @@ +# Makefile for Sphinx documentation +# + +# You can set these variables from the command line. +SPHINXOPTS = +SPHINXBUILD = sphinx-build +PAPER = +BUILDDIR = build + +# User-friendly check for sphinx-build +ifeq ($(shell which $(SPHINXBUILD) >/dev/null 2>&1; echo $$?), 1) +$(error The '$(SPHINXBUILD)' command was not found. 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When it is not found, a full rebuild will be done. +config: e0a9069122c14226639caf781d513013 +tags: 645f666f9bcd5a90fca523b33c5a78b7 diff --git a/docs/build/html/_sources/index.txt b/docs/build/html/_sources/index.txt new file mode 100644 index 00000000..d60912b5 --- /dev/null +++ b/docs/build/html/_sources/index.txt @@ -0,0 +1,25 @@ +.. PyDruid documentation master file, created by + sphinx-quickstart on Mon Mar 3 16:38:17 2014. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Welcome to PyDruid's documentation! +=================================== + +Contents: + +.. toctree:: + :maxdepth: 2 + +.. automodule:: pydruid + +.. autoclass:: client.PyDruid + :members: + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` + diff --git a/docs/build/html/_static/ajax-loader.gif b/docs/build/html/_static/ajax-loader.gif new file mode 100644 index 00000000..61faf8ca Binary files /dev/null and b/docs/build/html/_static/ajax-loader.gif differ diff --git a/docs/build/html/_static/basic.css b/docs/build/html/_static/basic.css new file mode 100644 index 00000000..c959cf0d --- /dev/null +++ b/docs/build/html/_static/basic.css @@ -0,0 +1,537 @@ +/* + * basic.css + * ~~~~~~~~~ + * + * Sphinx stylesheet -- basic theme. + * + * :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/* -- main layout ----------------------------------------------------------- */ + +div.clearer { + clear: both; +} + +/* -- relbar ---------------------------------------------------------------- */ + +div.related { + width: 100%; + font-size: 90%; +} + +div.related h3 { + display: none; +} + +div.related ul { + margin: 0; + padding: 0 0 0 10px; + list-style: none; +} + +div.related li { + display: inline; +} + +div.related li.right { + float: right; + margin-right: 5px; +} + +/* -- sidebar --------------------------------------------------------------- */ + +div.sphinxsidebarwrapper { + padding: 10px 5px 0 10px; +} + +div.sphinxsidebar { + float: left; + width: 230px; + margin-left: -100%; + font-size: 90%; +} + +div.sphinxsidebar ul { + list-style: none; +} + +div.sphinxsidebar ul ul, +div.sphinxsidebar ul.want-points { + margin-left: 20px; + list-style: square; +} + +div.sphinxsidebar ul ul { + margin-top: 0; + margin-bottom: 0; +} + +div.sphinxsidebar form { + margin-top: 10px; +} + +div.sphinxsidebar input { + border: 1px solid #98dbcc; + font-family: sans-serif; + font-size: 1em; +} + +div.sphinxsidebar #searchbox input[type="text"] { + width: 170px; +} + +div.sphinxsidebar #searchbox input[type="submit"] { + width: 30px; +} + +img { + border: 0; + max-width: 100%; +} + +/* -- search page ----------------------------------------------------------- */ + +ul.search { + margin: 10px 0 0 20px; + padding: 0; +} + +ul.search li { + padding: 5px 0 5px 20px; + background-image: url(file.png); + background-repeat: no-repeat; + background-position: 0 7px; +} + +ul.search li a { + font-weight: bold; +} + +ul.search li div.context { + color: #888; + margin: 2px 0 0 30px; + text-align: left; +} + +ul.keywordmatches li.goodmatch a { + font-weight: bold; +} + +/* -- index page ------------------------------------------------------------ */ + +table.contentstable { + width: 90%; +} + +table.contentstable p.biglink { + line-height: 150%; +} + +a.biglink { + font-size: 1.3em; +} + +span.linkdescr { + font-style: italic; + padding-top: 5px; + font-size: 90%; +} + +/* -- general index --------------------------------------------------------- */ + +table.indextable { + width: 100%; +} + +table.indextable td { + text-align: left; + vertical-align: top; +} + +table.indextable dl, table.indextable dd { + margin-top: 0; + margin-bottom: 0; +} + +table.indextable tr.pcap { + height: 10px; +} + +table.indextable tr.cap { + margin-top: 10px; + background-color: #f2f2f2; +} + +img.toggler { + margin-right: 3px; + margin-top: 3px; + cursor: pointer; +} + +div.modindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +div.genindex-jumpbox { + border-top: 1px solid #ddd; + border-bottom: 1px solid #ddd; + margin: 1em 0 1em 0; + padding: 0.4em; +} + +/* -- general body styles --------------------------------------------------- */ + +a.headerlink { + visibility: hidden; +} + +h1:hover > a.headerlink, +h2:hover > a.headerlink, +h3:hover > a.headerlink, +h4:hover > a.headerlink, +h5:hover > a.headerlink, +h6:hover > a.headerlink, +dt:hover > a.headerlink { + visibility: visible; +} + +div.body p.caption { + text-align: inherit; +} + +div.body td { + text-align: left; +} + +.field-list ul { + padding-left: 1em; +} + +.first { + margin-top: 0 !important; +} + +p.rubric { + margin-top: 30px; + font-weight: bold; +} + +img.align-left, .figure.align-left, object.align-left { + clear: left; + float: left; + margin-right: 1em; +} + +img.align-right, .figure.align-right, object.align-right { + clear: right; + float: right; + margin-left: 1em; +} + +img.align-center, .figure.align-center, object.align-center { + display: block; + margin-left: auto; + margin-right: auto; +} + +.align-left { + text-align: left; +} + +.align-center { + text-align: center; +} + +.align-right { + text-align: right; +} + +/* -- sidebars -------------------------------------------------------------- */ + +div.sidebar { + margin: 0 0 0.5em 1em; + border: 1px solid #ddb; + padding: 7px 7px 0 7px; + background-color: #ffe; + width: 40%; + float: right; +} + +p.sidebar-title { + font-weight: bold; +} + +/* -- topics ---------------------------------------------------------------- */ + +div.topic { + border: 1px solid #ccc; + padding: 7px 7px 0 7px; + margin: 10px 0 10px 0; +} + +p.topic-title { + font-size: 1.1em; + font-weight: bold; + margin-top: 10px; +} + +/* -- admonitions ----------------------------------------------------------- */ + +div.admonition { + margin-top: 10px; + margin-bottom: 10px; + padding: 7px; +} + +div.admonition dt { + font-weight: bold; +} + +div.admonition dl { + margin-bottom: 0; +} + +p.admonition-title { + margin: 0px 10px 5px 0px; + font-weight: bold; +} + +div.body p.centered { + text-align: center; + margin-top: 25px; +} + +/* -- tables ---------------------------------------------------------------- */ + +table.docutils { + border: 0; + border-collapse: collapse; +} + +table.docutils td, table.docutils th { + padding: 1px 8px 1px 5px; + border-top: 0; + border-left: 0; + border-right: 0; + border-bottom: 1px solid #aaa; +} + +table.field-list td, table.field-list th { + border: 0 !important; +} + +table.footnote td, table.footnote th { + border: 0 !important; +} + +th { + text-align: left; 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+ padding: 5px; + border: 3px solid red; +} + +.footnote:target { + background-color: #ffa; +} + +.line-block { + display: block; + margin-top: 1em; + margin-bottom: 1em; +} + +.line-block .line-block { + margin-top: 0; + margin-bottom: 0; + margin-left: 1.5em; +} + +.guilabel, .menuselection { + font-family: sans-serif; +} + +.accelerator { + text-decoration: underline; +} + +.classifier { + font-style: oblique; +} + +abbr, acronym { + border-bottom: dotted 1px; + cursor: help; +} + +/* -- code displays --------------------------------------------------------- */ + +pre { + overflow: auto; + overflow-y: hidden; /* fixes display issues on Chrome browsers */ +} + +td.linenos pre { + padding: 5px 0px; + border: 0; + background-color: transparent; + color: #aaa; +} + +table.highlighttable { + margin-left: 0.5em; +} + +table.highlighttable td { + padding: 0 0.5em 0 0.5em; +} + +tt.descname { + background-color: transparent; + font-weight: bold; + font-size: 1.2em; +} + +tt.descclassname { + background-color: transparent; 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+ +/* -- page layout ----------------------------------------------------------- */ + +body { + font-family: sans-serif; + font-size: 100%; + background-color: #11303d; + color: #000; + margin: 0; + padding: 0; +} + +div.document { + background-color: #1c4e63; +} + +div.documentwrapper { + float: left; + width: 100%; +} + +div.bodywrapper { + margin: 0 0 0 230px; +} + +div.body { + background-color: #ffffff; + color: #000000; + padding: 0 20px 30px 20px; +} + +div.footer { + color: #ffffff; + width: 100%; + padding: 9px 0 9px 0; + text-align: center; + font-size: 75%; +} + +div.footer a { + color: #ffffff; + text-decoration: underline; +} + +div.related { + background-color: #133f52; + line-height: 30px; + color: #ffffff; +} + +div.related a { + color: #ffffff; +} + +div.sphinxsidebar { +} + +div.sphinxsidebar h3 { + font-family: 'Trebuchet MS', sans-serif; + color: #ffffff; + font-size: 1.4em; + font-weight: normal; + margin: 0; + padding: 0; +} + +div.sphinxsidebar h3 a { + color: #ffffff; 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+} + +div.warning { + background-color: #ffe4e4; + border: 1px solid #f66; +} + +p.admonition-title { + display: inline; +} + +p.admonition-title:after { + content: ":"; +} + +pre { + padding: 5px; + background-color: #eeffcc; + color: #333333; + line-height: 120%; + border: 1px solid #ac9; + border-left: none; + border-right: none; +} + +tt { + background-color: #ecf0f3; + padding: 0 1px 0 1px; + font-size: 0.95em; +} + +th { + background-color: #ede; +} + +.warning tt { + background: #efc2c2; +} + +.note tt { + background: #d6d6d6; +} + +.viewcode-back { + font-family: sans-serif; +} + +div.viewcode-block:target { + background-color: #f4debf; + border-top: 1px solid #ac9; + border-bottom: 1px solid #ac9; +} \ No newline at end of file diff --git a/docs/build/html/_static/doctools.js b/docs/build/html/_static/doctools.js new file mode 100644 index 00000000..2036e5f5 --- /dev/null +++ b/docs/build/html/_static/doctools.js @@ -0,0 +1,238 @@ +/* + * doctools.js + * ~~~~~~~~~~~ + * + * Sphinx JavaScript utilities for all documentation. + * + * :copyright: Copyright 2007-2013 by the Sphinx team, see AUTHORS. + * :license: BSD, see LICENSE for details. + * + */ + +/** + * select a different prefix for underscore + */ +$u = _.noConflict(); + +/** + * make the code below compatible with browsers without + * an installed firebug like debugger +if (!window.console || !console.firebug) { + var names = ["log", "debug", "info", "warn", "error", "assert", "dir", + "dirxml", "group", "groupEnd", "time", "timeEnd", "count", "trace", + "profile", "profileEnd"]; + window.console = {}; + for (var i = 0; i < names.length; ++i) + window.console[names[i]] = function() {}; +} + */ + +/** + * small helper function to urldecode strings + */ +jQuery.urldecode = function(x) { + return decodeURIComponent(x).replace(/\+/g, ' '); +}; + +/** + * small helper function to urlencode strings + */ +jQuery.urlencode = encodeURIComponent; + +/** + * This function returns the parsed url parameters of the + * current request. Multiple values per key are supported, + * it will always return arrays of strings for the value parts. + */ +jQuery.getQueryParameters = function(s) { + if (typeof s == 'undefined') + s = document.location.search; + var parts = s.substr(s.indexOf('?') + 1).split('&'); + var result = {}; + for (var i = 0; i < parts.length; i++) { + var tmp = parts[i].split('=', 2); + var key = jQuery.urldecode(tmp[0]); + var value = jQuery.urldecode(tmp[1]); + if (key in result) + result[key].push(value); + else + result[key] = [value]; + } + return result; +}; + +/** + * highlight a given string on a jquery object by wrapping it in + * span elements with the given class name. + */ +jQuery.fn.highlightText = function(text, className) { + function highlight(node) { + if (node.nodeType == 3) { + var val = node.nodeValue; + var pos = val.toLowerCase().indexOf(text); + if (pos >= 0 && !jQuery(node.parentNode).hasClass(className)) { + var span = document.createElement("span"); + span.className = className; + span.appendChild(document.createTextNode(val.substr(pos, text.length))); + node.parentNode.insertBefore(span, node.parentNode.insertBefore( + document.createTextNode(val.substr(pos + text.length)), + node.nextSibling)); + node.nodeValue = val.substr(0, pos); + } + } + else if (!jQuery(node).is("button, select, textarea")) { + jQuery.each(node.childNodes, function() { + highlight(this); + }); + } + } + return this.each(function() { + highlight(this); + }); +}; + +/** + * Small JavaScript module for the documentation. + */ +var Documentation = { + + init : function() { + this.fixFirefoxAnchorBug(); + this.highlightSearchWords(); + this.initIndexTable(); + }, + + /** + * i18n support + */ + TRANSLATIONS : {}, + PLURAL_EXPR : function(n) { return n == 1 ? 0 : 1; }, + LOCALE : 'unknown', + + // gettext and ngettext don't access this so that the functions + // can safely bound to a different name (_ = Documentation.gettext) + gettext : function(string) { + var translated = Documentation.TRANSLATIONS[string]; + if (typeof translated == 'undefined') + return string; + return (typeof translated == 'string') ? translated : translated[0]; + }, + + ngettext : function(singular, plural, n) { + var translated = Documentation.TRANSLATIONS[singular]; + if (typeof translated == 'undefined') + return (n == 1) ? singular : plural; + return translated[Documentation.PLURALEXPR(n)]; + }, + + addTranslations : function(catalog) { + for (var key in catalog.messages) + this.TRANSLATIONS[key] = catalog.messages[key]; + this.PLURAL_EXPR = new Function('n', 'return +(' + catalog.plural_expr + ')'); + this.LOCALE = catalog.locale; + }, + + /** + * add context elements like header anchor links + */ + addContextElements : function() { + $('div[id] > :header:first').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this headline')). + appendTo(this); + }); + $('dt[id]').each(function() { + $('\u00B6'). + attr('href', '#' + this.id). + attr('title', _('Permalink to this definition')). + appendTo(this); + }); + }, + + /** + * workaround a firefox stupidity + */ + fixFirefoxAnchorBug : function() { + if (document.location.hash && $.browser.mozilla) + window.setTimeout(function() { + document.location.href += ''; + }, 10); + }, + + /** + * highlight the search words provided in the url in the text + */ + highlightSearchWords : function() { + var params = $.getQueryParameters(); + var terms = (params.highlight) ? params.highlight[0].split(/\s+/) : []; + if (terms.length) { + var body = $('div.body'); + if (!body.length) { + body = $('body'); + } + window.setTimeout(function() { + $.each(terms, function() { + body.highlightText(this.toLowerCase(), 'highlighted'); + }); + }, 10); + $('') + .appendTo($('#searchbox')); + } + }, + + /** + * init the domain index toggle buttons + */ + initIndexTable : function() { + var togglers = $('img.toggler').click(function() { + var src = $(this).attr('src'); + var idnum = $(this).attr('id').substr(7); + $('tr.cg-' + idnum).toggle(); + if (src.substr(-9) == 'minus.png') + $(this).attr('src', src.substr(0, src.length-9) + 'plus.png'); 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+ alize: 'al', + iciti: 'ic', + ical: 'ic', + ful: '', + ness: '' + }; + + var c = "[^aeiou]"; // consonant + var v = "[aeiouy]"; // vowel + var C = c + "[^aeiouy]*"; // consonant sequence + var V = v + "[aeiou]*"; // vowel sequence + + var mgr0 = "^(" + C + ")?" + V + C; // [C]VC... is m>0 + var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$"; // [C]VC[V] is m=1 + var mgr1 = "^(" + C + ")?" + V + C + V + C; // [C]VCVC... is m>1 + var s_v = "^(" + C + ")?" + v; // vowel in stem + + this.stemWord = function (w) { + var stem; + var suffix; + var firstch; + var origword = w; + + if (w.length < 3) + return w; + + var re; + var re2; + var re3; + var re4; + + firstch = w.substr(0,1); + if (firstch == "y") + w = firstch.toUpperCase() + w.substr(1); + + // Step 1a + re = /^(.+?)(ss|i)es$/; + re2 = /^(.+?)([^s])s$/; + + if (re.test(w)) + w = w.replace(re,"$1$2"); + else if (re2.test(w)) + w = w.replace(re2,"$1$2"); + + // Step 1b + re = /^(.+?)eed$/; + re2 = /^(.+?)(ed|ing)$/; + if (re.test(w)) { + var fp = re.exec(w); + re = new RegExp(mgr0); + if (re.test(fp[1])) { + re = /.$/; + w = w.replace(re,""); + } + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1]; + re2 = new RegExp(s_v); + if (re2.test(stem)) { + w = stem; + re2 = /(at|bl|iz)$/; + re3 = new RegExp("([^aeiouylsz])\\1$"); + re4 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re2.test(w)) + w = w + "e"; + else if (re3.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + else if (re4.test(w)) + w = w + "e"; + } + } + + // Step 1c + re = /^(.+?)y$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(s_v); + if (re.test(stem)) + w = stem + "i"; + } + + // Step 2 + re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step2list[suffix]; + } + + // Step 3 + re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + suffix = fp[2]; + re = new RegExp(mgr0); + if (re.test(stem)) + w = stem + step3list[suffix]; + } + + // Step 4 + re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/; + re2 = /^(.+?)(s|t)(ion)$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + if (re.test(stem)) + w = stem; + } + else if (re2.test(w)) { + var fp = re2.exec(w); + stem = fp[1] + fp[2]; + re2 = new RegExp(mgr1); + if (re2.test(stem)) + w = stem; + } + + // Step 5 + re = /^(.+?)e$/; + if (re.test(w)) { + var fp = re.exec(w); + stem = fp[1]; + re = new RegExp(mgr1); + re2 = new RegExp(meq1); + re3 = new RegExp("^" + C + v + "[^aeiouwxy]$"); + if (re.test(stem) || (re2.test(stem) && !(re3.test(stem)))) + w = stem; + } + re = /ll$/; + re2 = new RegExp(mgr1); + if (re.test(w) && re2.test(w)) { + re = /.$/; + w = w.replace(re,""); + } + + // and turn initial Y back to y + if (firstch == "y") + w = firstch.toLowerCase() + w.substr(1); + return w; + } +} + + + +/** + * Simple result scoring code. + */ +var Scorer = { + // Implement the following function to further tweak the score for each result + // The function takes a result array [filename, title, anchor, descr, score] + // and returns the new score. + /* + score: function(result) { + return result[4]; + }, + */ + + // query matches the full name of an object + objNameMatch: 11, + // or matches in the last dotted part of the object name + objPartialMatch: 6, + // Additive scores depending on the priority of the object + objPrio: {0: 15, // used to be importantResults + 1: 5, // used to be objectResults + 2: -5}, // used to be unimportantResults + // Used when the priority is not in the mapping. + objPrioDefault: 0, + + // query found in title + title: 15, + // query found in terms + term: 5 +}; + + +/** + * Search Module + */ +var Search = { + + _index : null, + _queued_query : null, + _pulse_status : -1, + + init : function() { + var params = $.getQueryParameters(); + if (params.q) { + var query = params.q[0]; + $('input[name="q"]')[0].value = query; + this.performSearch(query); + } + }, + + loadIndex : function(url) { + $.ajax({type: "GET", url: url, data: null, + dataType: "script", cache: true, + complete: function(jqxhr, textstatus) { + if (textstatus != "success") { + document.getElementById("searchindexloader").src = url; + } + }}); + }, + + setIndex : function(index) { + var q; + this._index = index; + if ((q = this._queued_query) !== null) { + this._queued_query = null; + Search.query(q); + } + }, + + hasIndex : function() { + return this._index !== null; + }, + + deferQuery : function(query) { + this._queued_query = query; + }, + + stopPulse : function() { + this._pulse_status = 0; + }, + + startPulse : function() { + if (this._pulse_status >= 0) + return; + function pulse() { + var i; + Search._pulse_status = (Search._pulse_status + 1) % 4; + var dotString = ''; + for (i = 0; i < Search._pulse_status; i++) + dotString += '.'; + Search.dots.text(dotString); + if (Search._pulse_status > -1) + window.setTimeout(pulse, 500); + } + pulse(); + }, + + /** + * perform a search for something (or wait until index is loaded) + */ + performSearch : function(query) { + // create the required interface elements + this.out = $('#search-results'); + this.title = $('

' + _('Searching') + '

').appendTo(this.out); + this.dots = $('').appendTo(this.title); + this.status = $('

').appendTo(this.out); + this.output = $('
'); + } + // Prettify the comment rating. + comment.pretty_rating = comment.rating + ' point' + + (comment.rating == 1 ? '' : 's'); + // Make a class (for displaying not yet moderated comments differently) + comment.css_class = comment.displayed ? '' : ' moderate'; + // Create a div for this comment. + var context = $.extend({}, opts, comment); + var div = $(renderTemplate(commentTemplate, context)); + + // If the user has voted on this comment, highlight the correct arrow. + if (comment.vote) { + var direction = (comment.vote == 1) ? 'u' : 'd'; + div.find('#' + direction + 'v' + comment.id).hide(); + div.find('#' + direction + 'u' + comment.id).show(); + } + + if (opts.moderator || comment.text != '[deleted]') { + div.find('a.reply').show(); + if (comment.proposal_diff) + div.find('#sp' + comment.id).show(); + if (opts.moderator && !comment.displayed) + div.find('#cm' + comment.id).show(); + if (opts.moderator || (opts.username == comment.username)) + div.find('#dc' + comment.id).show(); + } + return div; + } + + /** + * A simple template renderer. Placeholders such as <%id%> are replaced + * by context['id'] with items being escaped. Placeholders such as <#id#> + * are not escaped. + */ + function renderTemplate(template, context) { + var esc = $(document.createElement('div')); + + function handle(ph, escape) { + var cur = context; + $.each(ph.split('.'), function() { + cur = cur[this]; + }); + return escape ? esc.text(cur || "").html() : cur; + } + + return template.replace(/<([%#])([\w\.]*)\1>/g, function() { + return handle(arguments[2], arguments[1] == '%' ? true : false); + }); + } + + /** Flash an error message briefly. */ + function showError(message) { + $(document.createElement('div')).attr({'class': 'popup-error'}) + .append($(document.createElement('div')) + .attr({'class': 'error-message'}).text(message)) + .appendTo('body') + .fadeIn("slow") + .delay(2000) + .fadeOut("slow"); + } + + /** Add a link the user uses to open the comments popup. */ + $.fn.comment = function() { + return this.each(function() { + var id = $(this).attr('id').substring(1); + var count = COMMENT_METADATA[id]; + var title = count + ' comment' + (count == 1 ? '' : 's'); + var image = count > 0 ? opts.commentBrightImage : opts.commentImage; + var addcls = count == 0 ? ' nocomment' : ''; + $(this) + .append( + $(document.createElement('a')).attr({ + href: '#', + 'class': 'sphinx-comment-open' + addcls, + id: 'ao' + id + }) + .append($(document.createElement('img')).attr({ + src: image, + alt: 'comment', + title: title + })) + .click(function(event) { + event.preventDefault(); + show($(this).attr('id').substring(2)); + }) + ) + .append( + $(document.createElement('a')).attr({ + href: '#', + 'class': 'sphinx-comment-close hidden', + id: 'ah' + id + }) + .append($(document.createElement('img')).attr({ + src: opts.closeCommentImage, + alt: 'close', + title: 'close' + })) + .click(function(event) { + event.preventDefault(); + hide($(this).attr('id').substring(2)); + }) + ); + }); + }; + + var opts = { + processVoteURL: '/_process_vote', + addCommentURL: '/_add_comment', + getCommentsURL: '/_get_comments', + acceptCommentURL: '/_accept_comment', + deleteCommentURL: '/_delete_comment', + commentImage: '/static/_static/comment.png', + closeCommentImage: '/static/_static/comment-close.png', + loadingImage: '/static/_static/ajax-loader.gif', + commentBrightImage: '/static/_static/comment-bright.png', + upArrow: '/static/_static/up.png', + downArrow: '/static/_static/down.png', + upArrowPressed: '/static/_static/up-pressed.png', + downArrowPressed: '/static/_static/down-pressed.png', + voting: false, + moderator: false + }; + + if (typeof COMMENT_OPTIONS != "undefined") { + opts = jQuery.extend(opts, COMMENT_OPTIONS); + } + + var popupTemplate = '\ +
\ +

\ + Sort by:\ + best rated\ + newest\ + oldest\ +

\ +
Comments
\ +
\ + loading comments...
\ +
    \ +
    \ +

    Add a comment\ + (markup):

    \ +
    \ + reStructured text markup: *emph*, **strong**, \ + ``code``, \ + code blocks: :: and an indented block after blank line
    \ +
    \ + \ +

    \ + \ + Propose a change ▹\ + \ + \ + Propose a change ▿\ + \ +

    \ + \ + \ + \ + \ + \ +
    \ +
    '; + + var commentTemplate = '\ +
    \ +
    \ +
    \ + \ + \ + \ + \ + \ + \ +
    \ +
    \ + \ + \ + \ + \ + \ + \ +
    \ +
    \ +
    \ +

    \ + <%username%>\ + <%pretty_rating%>\ + <%time.delta%>\ +

    \ +
    <#text#>
    \ +

    \ + \ + reply ▿\ + proposal ▹\ + proposal ▿\ + \ + \ +

    \ +
    \
    +<#proposal_diff#>\
    +        
    \ +
      \ +
      \ +
      \ +
      \ + '; + + var replyTemplate = '\ +
    • \ +
      \ +
      \ + \ + \ + \ + \ + \ + \ +
      \ +
    • '; + + $(document).ready(function() { + init(); + }); +})(jQuery); + +$(document).ready(function() { + // add comment anchors for all paragraphs that are commentable + $('.sphinx-has-comment').comment(); + + // highlight search words in search results + $("div.context").each(function() { + var params = $.getQueryParameters(); + var terms = (params.q) ? params.q[0].split(/\s+/) : []; + var result = $(this); + $.each(terms, function() { + result.highlightText(this.toLowerCase(), 'highlighted'); + }); + }); + + // directly open comment window if requested + var anchor = document.location.hash; + if (anchor.substring(0, 9) == '#comment-') { + $('#ao' + anchor.substring(9)).click(); + document.location.hash = '#s' + anchor.substring(9); + } +}); diff --git a/docs/build/html/genindex.html b/docs/build/html/genindex.html new file mode 100644 index 00000000..ce8b4ce1 --- /dev/null +++ b/docs/build/html/genindex.html @@ -0,0 +1,175 @@ + + + + + + + + + Index — PyDruid 0.2.0 documentation + + + + + + + + + + + + + +
      +
      +
      +
      + + +

      Index

      + +
      + E + | G + | P + | S + | T + +
      +

      E

      +
      + + +
      + +
      export_pandas() (client.PyDruid method) +
      + +
      + +
      export_tsv() (client.PyDruid method) +
      + +
      + +

      G

      + + +
      + +
      groupby() (client.PyDruid method) +
      + +
      + +

      P

      + + + +
      + +
      PyDruid (class in client) +
      + +
      + +
      pydruid (module) +
      + +
      + +

      S

      + + +
      + +
      segment_metadata() (client.PyDruid method) +
      + +
      + +

      T

      + + + +
      + +
      time_boundary() (client.PyDruid method) +
      + + +
      timeseries() (client.PyDruid method) +
      + +
      + +
      topn() (client.PyDruid method) +
      + +
      + + + + + + +
      +
      + + + + + +
      +
      +
      + + + + + \ No newline at end of file diff --git a/docs/build/html/index.html b/docs/build/html/index.html new file mode 100644 index 00000000..cabb0f77 --- /dev/null +++ b/docs/build/html/index.html @@ -0,0 +1,614 @@ + + + + + + + + Welcome to PyDruid’s documentation! — PyDruid 0.2.0 documentation + + + + + + + + + + + + + +
      +
      +
      +
      + +
      +

      Welcome to PyDruid’s documentation!

      +

      Contents:

      +
      +
        +
      +
      +
      +
      +class client.PyDruid(url, endpoint)
      +

      PyDruid exposes a simple API for creating and executing Druid queries. PyDruid also exposes +a method for exporting query results into pandas.DataFrame objects for subsequent analysis +with the python scientific computing stack, or simply exporting query results to a TSV file +for analysis with your favorite tool, e.g., R, Julia, Matlab, Excel.

      + +++ + + + + + +
      Parameters:
        +
      • url (str) – URL of Bard node in the Druid cluster
      • +
      • endpoint (str) – Endpoint that Bard listens for queries on
      • +
      +
      Variables:
        +
      • result_json (str) – JSON object representing a query result. Initial value: None
      • +
      • result (list) – Query result parsed into a list of dicts. Initial value: None
      • +
      • query_type (str) – Name of most recently run query, e.g., topN. Initial value: None
      • +
      • query_dict (dict) – JSON object representing the query. Initial value: None
      • +
      +
      +

      Example

      +
       1
      + 2
      + 3
      + 4
      + 5
      + 6
      + 7
      + 8
      + 9
      +10
      +11
      +12
      +13
      +14
      +15
      +16
      +17
      +18
      +19
      +20
      +21
      +22
      +23
      +24
      +25
      +26
      +27
      +28
      +29
      +30
      +31
      +32
      +33
      +34
      +35
      +36
      +37
      +38
      +39
      +40
      +41
      +42
      +43
      +44
      +45
      +46
      +47
          >>> from pydruid.client import *
      +
      +    >>> query = PyDruid('http://localhost:8083', 'druid/v2/')
      +
      +    >>> top = query.topn(
      +            datasource='twitterstream',
      +            granularity='all',
      +            intervals='2013-10-04/pt1h',
      +            aggregations={"count": doublesum("count")},
      +            dimension='user_name',
      +            filter = Dimension('user_lang') == 'en',
      +            metric='count',
      +            threshold=2
      +        )
      +
      +    >>> print json.dumps(query.query_dict, indent=2)
      +    >>> {
      +          "metric": "count",
      +          "aggregations": [
      +            {
      +              "type": "doubleSum",
      +              "fieldName": "count",
      +              "name": "count"
      +            }
      +          ],
      +          "dimension": "user_name",
      +          "filter": {
      +            "type": "selector",
      +            "dimension": "user_lang",
      +            "value": "en"
      +          },
      +          "intervals": "2013-10-04/pt1h",
      +          "dataSource": "twitterstream",
      +          "granularity": "all",
      +          "threshold": 2,
      +          "queryType": "topN"
      +        }
      +
      +    >>> print query.result
      +    >>> [{'timestamp': '2013-10-04T00:00:00.000Z',
      +        'result': [{'count': 7.0, 'user_name': 'user_1'}, {'count': 6.0, 'user_name': 'user_2'}]}]
      +
      +    >>> df = query.export_pandas()
      +    >>> print df
      +    >>>    count                 timestamp      user_name
      +        0      7  2013-10-04T00:00:00.000Z         user_1
      +        1      6  2013-10-04T00:00:00.000Z         user_2
      +
      +
      +
      +
      +export_pandas()
      +

      Export the current query result to a Pandas DataFrame object.

      + +++ + + + + + + + + +
      Returns:The DataFrame representing the query result
      Return type:DataFrame
      Raises NotImplementedError:
       
      +

      Example

      +
       1
      + 2
      + 3
      + 4
      + 5
      + 6
      + 7
      + 8
      + 9
      +10
      +11
      +12
      +13
      +14
      +15
      +16
          >>> top = query.topn(
      +            datasource='twitterstream',
      +            granularity='all',
      +            intervals='2013-10-04/pt1h',
      +            aggregations={"count": doublesum("count")},
      +            dimension='user_name',
      +            filter = Dimension('user_lang') == 'en',
      +            metric='count',
      +            threshold=2
      +        )
      +
      +    >>> df = query.export_pandas()
      +    >>> print df
      +    >>>    count                 timestamp      user_name
      +        0      7  2013-10-04T00:00:00.000Z         user_1
      +        1      6  2013-10-04T00:00:00.000Z         user_2
      +
      +
      +
      + +
      +
      +export_tsv(dest_path)
      +

      Export the current query result to a tsv file.

      + +++ + + + + + + +
      Parameters:dest_path (str) – file to write query results to
      Raises NotImplementedError:
       
      +

      Example

      +
       1
      + 2
      + 3
      + 4
      + 5
      + 6
      + 7
      + 8
      + 9
      +10
      +11
      +12
      +13
      +14
      +15
      +16
          >>> top = query.topn(
      +            datasource='twitterstream',
      +            granularity='all',
      +            intervals='2013-10-04/pt1h',
      +            aggregations={"count": doublesum("count")},
      +            dimension='user_name',
      +            filter = Dimension('user_lang') == 'en',
      +            metric='count',
      +            threshold=2
      +        )
      +
      +    >>> query.export_tsv('top.tsv')
      +    >>> !cat top.tsv
      +    >>> count       user_name       timestamp
      +        7.0 user_1  2013-10-04T00:00:00.000Z
      +        6.0 user_2  2013-10-04T00:00:00.000Z
      +
      +
      +
      + +
      +
      +groupby(**kwargs)
      +

      A group-by query groups a results set (the requested aggregate metrics) by the specified dimension(s).

      +

      Required key/value pairs:

      + +++ + + + + + + + +
      Parameters:
        +
      • datasource (str) – Data source to query
      • +
      • granularity (str) – Time bucket to aggregate data by hour, day, minute, etc.,
      • +
      • intervals (str or list) – ISO-8601 intervals for which to run the query on
      • +
      • aggregations (dict) – A map from aggregator name to one of the pydruid.utils.aggregators e.g., doublesum
      • +
      • dimensions (list) – The dimensions to group by
      • +
      +
      Returns:

      The query result

      +
      Return type:

      list[dict]

      +
      +

      Optional key/value pairs:

      + +++ + + + +
      Parameters:
        +
      • filter (pydruid.utils.filters.Filter) – Indicates which rows of data to include in the query
      • +
      • post_aggregations – A dict with string key = ‘post_aggregator_name’, and value pydruid.utils.PostAggregator
      • +
      +
      +

      Example:

      +
       1
      + 2
      + 3
      + 4
      + 5
      + 6
      + 7
      + 8
      + 9
      +10
      +11
      +12
          >>> group = query.groupby(
      +            dataSource='twitterstream',
      +            granularity='hour',
      +            intervals='2013-10-04/pt1h',
      +            dimensions=["user_name", "reply_to_name"],
      +            filter=~(Dimension("reply_to_name") == "Not A Reply"),
      +            aggregations={"count": doublesum("count")}
      +        )
      +    >>> for k in range(2):
      +        ...     print group[k]
      +    >>> {'timestamp': '2013-10-04T00:00:00.000Z', 'version': 'v1', 'event': {'count': 1.0, 'user_name': 'user_1', 'reply_to_name': 'user_2'}}
      +    >>> {'timestamp': '2013-10-04T00:00:00.000Z', 'version': 'v1', 'event': {'count': 1.0, 'user_name': 'user_2', 'reply_to_name': 'user_3'}}
      +
      +
      +
      + +
      +
      +segment_metadata(**kwargs)
      +

      A segment meta-data query returns per segment information about:

      +
        +
      • Cardinality of all the columns present
      • +
      • Column type
      • +
      • Estimated size in bytes
      • +
      • Estimated size in bytes of each column
      • +
      • Interval the segment covers
      • +
      • Segment ID
      • +
      +

      Required key/value pairs:

      + +++ + + + + + + + +
      Parameters:
        +
      • datasource (str) – Data source to query
      • +
      • intervals (str or list) – ISO-8601 intervals for which to run the query on
      • +
      +
      Returns:

      The query result

      +
      Return type:

      list[dict]

      +
      +

      Example:

      +
      1
      +2
      +3
      +4
      +5
          >>> meta = query.segment_metadata(datasource='twitterstream', intervals = '2013-10-04/pt1h')
      +    >>> print meta[0].keys()
      +    >>> ['intervals', 'id', 'columns', 'size']
      +    >>> print meta[0]['columns']['tweet_length']
      +    >>> {'errorMessage': None, 'cardinality': None, 'type': 'FLOAT', 'size': 30908008}
      +
      +
      +
      + +
      +
      +time_boundary(**kwargs)
      +

      A time boundary query returns the min and max timestamps present in a data source.

      +

      Required key/value pairs:

      + +++ + + + + + + + +
      Parameters:datasource (str) – Data source to query
      Returns:The query result
      Return type:list[dict]
      +

      Example:

      +
      1
      +2
      +3
          >>> bound = query.time_boundary(datasource='twitterstream')
      +    >>> print bound
      +    >>> [{'timestamp': '2011-09-14T15:00:00.000Z', 'result': {'minTime': '2011-09-14T15:00:00.000Z', 'maxTime': '2014-03-04T23:44:00.000Z'}}]
      +
      +
      +
      + +
      +
      +timeseries(**kwargs)
      +

      A timeseries query returns the values of the requested metrics (in aggregate) for each timestamp.

      +

      Required key/value pairs:

      + +++ + + + + + + + +
      Parameters:
        +
      • datasource (str) – Data source to query
      • +
      • granularity (str) – Time bucket to aggregate data by hour, day, minute, etc.,
      • +
      • intervals (str or list) – ISO-8601 intervals for which to run the query on
      • +
      • aggregations (dict) – A map from aggregator name to one of the pydruid.utils.aggregators e.g., doublesum
      • +
      +
      Returns:

      The query result

      +
      Return type:

      list[dict]

      +
      +

      Optional key/value pairs:

      + +++ + + + +
      Parameters:
        +
      • filter (pydruid.utils.filters.Filter) – Indicates which rows of data to include in the query
      • +
      • post_aggregations – A dict with string key = ‘post_aggregator_name’, and value pydruid.utils.PostAggregator
      • +
      +
      +

      Example:

      +
      1
      +2
      +3
      +4
      +5
      +6
      +7
      +8
      +9
          >>> counts = query.timeseries(
      +            datasource=twitterstream,
      +            granularity='hour',
      +            intervals='2013-06-14/pt1h',
      +            aggregations={"count": doublesum("count"), "rows": count("rows")},
      +            post_aggregations={'percent': (Field('count') / Field('rows')) * Const(100))}
      +        )
      +    >>> print counts
      +    >>> [{'timestamp': '2013-06-14T00:00:00.000Z', 'result': {'count': 9619.0, 'rows': 8007, 'percent': 120.13238416385663}}]
      +
      +
      +
      + +
      +
      +topn(**kwargs)
      +

      A TopN query returns a set of the values in a given dimension, sorted by a specified metric. Conceptually, a +topN can be thought of as an approximate GroupByQuery over a single dimension with an Ordering spec. TopNs are +faster and more resource efficient than GroupBy for this use case.

      +

      Required key/value pairs:

      + +++ + + + + + + + +
      Parameters:
        +
      • datasource (str) – Data source to query
      • +
      • granularity (str) – Aggregate data by hour, day, minute, etc.,
      • +
      • intervals (str or list) – ISO-8601 intervals of data to query
      • +
      • aggregations (dict) – A map from aggregator name to one of the pydruid.utils.aggregators e.g., doublesum
      • +
      • dimension (str) – Dimension to run the query against
      • +
      • metric (str) – Metric over which to sort the specified dimension by
      • +
      • threshold (int) – How many of the top items to return
      • +
      +
      Returns:

      The query result

      +
      Return type:

      list[dict]

      +
      +

      Optional key/value pairs:

      + +++ + + + +
      Parameters:
        +
      • filter (pydruid.utils.filters.Filter) – Indicates which rows of data to include in the query
      • +
      • post_aggregations – A dict with string key = ‘post_aggregator_name’, and value pydruid.utils.PostAggregator
      • +
      +
      +

      Example:

      +
       1
      + 2
      + 3
      + 4
      + 5
      + 6
      + 7
      + 8
      + 9
      +10
      +11
      +12
          >>> top = query.topn(
      +                datasource='twitterstream',
      +                granularity='all',
      +                intervals='2013-06-14/pt1h',
      +                aggregations={"count": doublesum("count")},
      +                dimension='user_name',
      +                metric='count',
      +                filter=Dimension('user_lang') == 'en',
      +                threshold=1
      +            )
      +    >>> print top
      +    >>> [{'timestamp': '2013-06-14T00:00:00.000Z', 'result': [{'count': 22.0, 'user': "cool_user"}}]}]
      +
      +
      +
      + +
      + +
      +
      +

      Indices and tables

      + +
      + + +
      +
      +
      +
      +
      +

      Table Of Contents

      + + +

      This Page

      + + + +
      +
      +
      +
      + + + + \ No newline at end of file diff --git a/docs/build/html/objects.inv b/docs/build/html/objects.inv new file mode 100644 index 00000000..14324202 --- /dev/null +++ b/docs/build/html/objects.inv @@ -0,0 +1,8 @@ +# Sphinx inventory version 2 +# Project: PyDruid +# Version: 0.2.0 +# The remainder of this file is compressed using zlib. +xڕ +0E~E*u뺛. +~ΠHƢX m]yi "0V +R"/r|=kuW"q#!Hh m l AGcJ~'*(U < KMucৗN[Zu:3{8a /)/d itsc5{εqu'14 \ No newline at end of file diff --git a/docs/build/html/py-modindex.html b/docs/build/html/py-modindex.html new file mode 100644 index 00000000..5fce7394 --- /dev/null +++ b/docs/build/html/py-modindex.html @@ -0,0 +1,112 @@ + + + + + + + + Python Module Index — PyDruid 0.2.0 documentation + + + + + + + + + + + + + + + + + + +
      +
      +
      +
      + + +

      Python Module Index

      + +
      + p +
      + + + + + + + +
       
      + p
      + pydruid +
      + + +
      +
      +
      +
      +
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      +
      +
      + + + + \ No newline at end of file diff --git a/docs/build/html/search.html b/docs/build/html/search.html new file mode 100644 index 00000000..6881731b --- /dev/null +++ b/docs/build/html/search.html @@ -0,0 +1,105 @@ + + + + + + + + Search — PyDruid 0.2.0 documentation + + + + + + + + + + + + + + + + + + + +
      +
      +
      +
      + +

      Search

      +
      + +

      + Please activate JavaScript to enable the search + functionality. +

      +
      +

      + From here you can search these documents. Enter your search + words into the box below and click "search". Note that the search + function will automatically search for all of the words. Pages + containing fewer words won't appear in the result list. +

      +
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      +
      +
      + + + + \ No newline at end of file diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js new file mode 100644 index 00000000..f826e1a7 --- /dev/null +++ b/docs/build/html/searchindex.js @@ -0,0 +1 @@ +Search.setIndex({envversion:42,terms:{recipi:[],querytyp:0,all:0,code:[],execut:0,user_lang:0,queri:0,over:0,query_dict:0,user_total_tweet:[],effici:0,yet:[],languag:[],paramet:0,content:0,typeerror:[],group:0,expos:0,also:0,percent:0,"000z_2013":[],send:[],granular:0,version:0,dict:0,matlab:0,tsv:0,my_dimens:[],pt1h:0,spec:0,inform:0,url_domain:[],build_queri:[],sourc:0,"return":0,string:0,first_hashtag:[],get:[],python:0,timestamp:0,dai:0,initi:0,bound:0,util:0,post_aggreg:0,datasourc:0,"04t23":0,"class":0,discuss:[],requir:0,cool:[],name:0,export_panda:0,query_typ:0,list:0,integ:[],item:0,exce:[],math:[],each:0,user_nam:0,page:0,user_mention_nam:[],dimens:0,set:0,dump:0,frame:[],resourc:0,favorit:0,message_bodi:[],threshold:0,meta:0,"export":0,result:0,arg:[],further:[],user_time_zon:[],charact:[],num_favorit:[],num_ment:[],variabl:0,index:0,twitter:[],num_hashtag:[],time_boundari:0,cover:0,conceptu:0,cool_us:0,boundari:0,per:0,current:0,"case":0,state:[],estim:0,lineno:[],print:0,"import":0,row:0,method:0,localhost:0,integr:[],has_geo:[],has_link:[],run:0,kei:0,timeseri:0,bodi:[],"05t04":[],"05t00":[],dest_path:0,mintim:0,"const":0,"byte":0,valu:0,search:0,post_aggregator_nam:0,sender:[],rtype:[],column:0,twitterstream:0,aggregator_nam:[],groupbi:0,against:0,user_2:0,user_3:0,user_1:0,is_vir:[],messag:[],pt2h:[],basestr:[],url:0,mani:0,my_data:[],top:0,block:[],segment_metadata:0,fieldnam:0,rang:0,simpli:0,doublesum:0,modul:0,"float":0,number:[],julia:0,api:0,done:[],par2:[],par1:[],rt_name:[],topn:0,your:0,size:0,prioriti:[],"14t15":0,given:0,"long":[],from:0,export_tsv:0,segment:0,support:[],dude:[],lol:[],errormessag:0,json:0,num_link:[],is_retweet:[],time:0,type:0,interv:0,result_json:0,sort:0,field:0,option:0,thought:0,tool:0,about:0,specifi:0,argument:[],"280z":[],"000z":0,"__time":[],pars:0,butt:[],indent:0,than:0,present:0,count:0,none:0,endpoint:0,word:[],hour:0,stack:0,bucket:0,maxtim:0,cat:0,panda:0,defin:[],below:[],tweet_length:0,can:0,str:0,has_ment:[],minut:0,more:0,bard:0,aggreg:0,listen:0,rad:[],comput:0,creat:0,"int":0,descript:[],metric:0,fuck:[],deep:[],repres:0,twitterstream_2013:[],cluster:0,kwarg:0,user_loc:[],file:0,reply_to_nam:0,var1:[],notimplementederror:0,analysi:0,cardin:0,filter:0,num_follow:[],end:[],etc:0,var2:[],"14t00":0,excel:0,event:0,write:0,how:0,post:[],client:0,bool:[],which:0,iso:0,most:0,postaggreg:0,simpl:0,singl:0,node:0,map:0,http:0,valueerror:[],results_json:[],usernam:[],max:0,groupbyqueri:0,object:0,druid:0,fucker:[],fart:[],rais:0,user:0,pair:0,param:[],data:0,"04t00":0,recent:0,subsequ:0,selector:0,faster:0,furthermor:[],scientif:0,approxim:0,min:0,request:0,lineo:[],person:[],exampl:0,thi:0,repli:0,order:0,datafram:0,includ:0},objtypes:{"0":"py:module","1":"py:method","2":"py:class"},objnames:{"0":["py","module","Python module"],"1":["py","method","Python method"],"2":["py","class","Python class"]},filenames:["index"],titles:["Welcome to PyDruid’s documentation!"],objects:{"":{pydruid:[0,0,0,"-"]},client:{PyDruid:[0,2,1,""]},"client.PyDruid":{export_tsv:[0,1,1,""],topn:[0,1,1,""],time_boundary:[0,1,1,""],timeseries:[0,1,1,""],export_pandas:[0,1,1,""],groupby:[0,1,1,""],segment_metadata:[0,1,1,""]}},titleterms:{pydruid:0,document:0,welcom:0,indic:0,tabl:0}}) \ No newline at end of file diff --git a/docs/figures/avg_tweet_length.png b/docs/figures/avg_tweet_length.png new file mode 100644 index 00000000..7d123c42 Binary files /dev/null and b/docs/figures/avg_tweet_length.png differ diff --git a/docs/figures/twitter_graph.png b/docs/figures/twitter_graph.png new file mode 100644 index 00000000..d6212fea Binary files /dev/null and b/docs/figures/twitter_graph.png differ diff --git a/docs/source/conf.py b/docs/source/conf.py new file mode 100644 index 00000000..6777cf18 --- /dev/null +++ b/docs/source/conf.py @@ -0,0 +1,263 @@ +# -*- coding: utf-8 -*- +# +# PyDruid documentation build configuration file, created by +# sphinx-quickstart on Mon Mar 3 16:38:17 2014. +# +# This file is execfile()d with the current directory set to its +# containing dir. +# +# Note that not all possible configuration values are present in this +# autogenerated file. +# +# All configuration values have a default; values that are commented out +# serve to show the default. + +import sys +import os + +# If extensions (or modules to document with autodoc) are in another directory, +# add these directories to sys.path here. If the directory is relative to the +# documentation root, use os.path.abspath to make it absolute, like shown here. +#sys.path.insert(0, os.path.abspath('.')) + +sys.path.insert(0, '/Users/dganguli/src/pydruid/') +sys.path.insert(0, '/Users/dganguli/src/pydruid/pydruid') +# -- General configuration ------------------------------------------------ + +# If your documentation needs a minimal Sphinx version, state it here. +#needs_sphinx = '1.0' + +# Add any Sphinx extension module names here, as strings. They can be +# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom +# ones. +extensions = [ + 'sphinx.ext.autodoc', + 'sphinx.ext.doctest', +] + +# Add any paths that contain templates here, relative to this directory. +templates_path = ['_templates'] + +# The suffix of source filenames. +source_suffix = '.rst' + +# The encoding of source files. +#source_encoding = 'utf-8-sig' + +# The master toctree document. +master_doc = 'index' + +# General information about the project. +project = u'PyDruid' +copyright = u'2014, Deep Ganguli' + +# The version info for the project you're documenting, acts as replacement for +# |version| and |release|, also used in various other places throughout the +# built documents. +# +# The short X.Y version. +version = '0.2.0' +# The full version, including alpha/beta/rc tags. +release = '0.2.0' + +# The language for content autogenerated by Sphinx. Refer to documentation +# for a list of supported languages. +#language = None + +# There are two options for replacing |today|: either, you set today to some +# non-false value, then it is used: +#today = '' +# Else, today_fmt is used as the format for a strftime call. +#today_fmt = '%B %d, %Y' + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +exclude_patterns = [] + +# The reST default role (used for this markup: `text`) to use for all +# documents. +#default_role = None + +# If true, '()' will be appended to :func: etc. cross-reference text. +#add_function_parentheses = True + +# If true, the current module name will be prepended to all description +# unit titles (such as .. function::). +#add_module_names = True + +# If true, sectionauthor and moduleauthor directives will be shown in the +# output. They are ignored by default. +#show_authors = False + +# The name of the Pygments (syntax highlighting) style to use. +pygments_style = 'sphinx' + +# A list of ignored prefixes for module index sorting. +#modindex_common_prefix = [] + +# If true, keep warnings as "system message" paragraphs in the built documents. +#keep_warnings = False + + +# -- Options for HTML output ---------------------------------------------- + +# The theme to use for HTML and HTML Help pages. See the documentation for +# a list of builtin themes. +html_theme = 'default' + +# Theme options are theme-specific and customize the look and feel of a theme +# further. For a list of options available for each theme, see the +# documentation. +#html_theme_options = {} + +# Add any paths that contain custom themes here, relative to this directory. +#html_theme_path = [] + +# The name for this set of Sphinx documents. If None, it defaults to +# " v documentation". +#html_title = None + +# A shorter title for the navigation bar. Default is the same as html_title. +#html_short_title = None + +# The name of an image file (relative to this directory) to place at the top +# of the sidebar. +#html_logo = None + +# The name of an image file (within the static path) to use as favicon of the +# docs. This file should be a Windows icon file (.ico) being 16x16 or 32x32 +# pixels large. +#html_favicon = None + +# Add any paths that contain custom static files (such as style sheets) here, +# relative to this directory. They are copied after the builtin static files, +# so a file named "default.css" will overwrite the builtin "default.css". +html_static_path = ['_static'] + +# Add any extra paths that contain custom files (such as robots.txt or +# .htaccess) here, relative to this directory. These files are copied +# directly to the root of the documentation. +#html_extra_path = [] + +# If not '', a 'Last updated on:' timestamp is inserted at every page bottom, +# using the given strftime format. +#html_last_updated_fmt = '%b %d, %Y' + +# If true, SmartyPants will be used to convert quotes and dashes to +# typographically correct entities. +#html_use_smartypants = True + +# Custom sidebar templates, maps document names to template names. +#html_sidebars = {} + +# Additional templates that should be rendered to pages, maps page names to +# template names. +#html_additional_pages = {} + +# If false, no module index is generated. +#html_domain_indices = True + +# If false, no index is generated. +#html_use_index = True + +# If true, the index is split into individual pages for each letter. +#html_split_index = False + +# If true, links to the reST sources are added to the pages. +#html_show_sourcelink = True + +# If true, "Created using Sphinx" is shown in the HTML footer. Default is True. +#html_show_sphinx = True + +# If true, "(C) Copyright ..." is shown in the HTML footer. Default is True. +#html_show_copyright = True + +# If true, an OpenSearch description file will be output, and all pages will +# contain a tag referring to it. The value of this option must be the +# base URL from which the finished HTML is served. +#html_use_opensearch = '' + +# This is the file name suffix for HTML files (e.g. ".xhtml"). +#html_file_suffix = None + +# Output file base name for HTML help builder. +htmlhelp_basename = 'PyDruiddoc' + + +# -- Options for LaTeX output --------------------------------------------- + +latex_elements = { + # The paper size ('letterpaper' or 'a4paper'). + #'papersize': 'letterpaper', + + # The font size ('10pt', '11pt' or '12pt'). + #'pointsize': '10pt', + + # Additional stuff for the LaTeX preamble. + #'preamble': '', +} + +# Grouping the document tree into LaTeX files. List of tuples +# (source start file, target name, title, +# author, documentclass [howto, manual, or own class]). +latex_documents = [ + ('index', 'PyDruid.tex', u'PyDruid Documentation', + u'Deep Ganguli', 'manual'), +] + +# The name of an image file (relative to this directory) to place at the top of +# the title page. +#latex_logo = None + +# For "manual" documents, if this is true, then toplevel headings are parts, +# not chapters. +#latex_use_parts = False + +# If true, show page references after internal links. +#latex_show_pagerefs = False + +# If true, show URL addresses after external links. +#latex_show_urls = False + +# Documents to append as an appendix to all manuals. +#latex_appendices = [] + +# If false, no module index is generated. +#latex_domain_indices = True + + +# -- Options for manual page output --------------------------------------- + +# One entry per manual page. List of tuples +# (source start file, name, description, authors, manual section). +man_pages = [ + ('index', 'pydruid', u'PyDruid Documentation', + [u'Deep Ganguli'], 1) +] + +# If true, show URL addresses after external links. +#man_show_urls = False + + +# -- Options for Texinfo output ------------------------------------------- + +# Grouping the document tree into Texinfo files. List of tuples +# (source start file, target name, title, author, +# dir menu entry, description, category) +texinfo_documents = [ + ('index', 'PyDruid', u'PyDruid Documentation', + u'Deep Ganguli', 'PyDruid', 'One line description of project.', + 'Miscellaneous'), +] + +# Documents to append as an appendix to all manuals. +#texinfo_appendices = [] + +# If false, no module index is generated. +#texinfo_domain_indices = True + +# How to display URL addresses: 'footnote', 'no', or 'inline'. +#texinfo_show_urls = 'footnote' + +# If true, do not generate a @detailmenu in the "Top" node's menu. +#texinfo_no_detailmenu = False diff --git a/docs/source/index.rst b/docs/source/index.rst new file mode 100644 index 00000000..d60912b5 --- /dev/null +++ b/docs/source/index.rst @@ -0,0 +1,25 @@ +.. PyDruid documentation master file, created by + sphinx-quickstart on Mon Mar 3 16:38:17 2014. + You can adapt this file completely to your liking, but it should at least + contain the root `toctree` directive. + +Welcome to PyDruid's documentation! +=================================== + +Contents: + +.. toctree:: + :maxdepth: 2 + +.. automodule:: pydruid + +.. autoclass:: client.PyDruid + :members: + +Indices and tables +================== + +* :ref:`genindex` +* :ref:`modindex` +* :ref:`search` + diff --git a/pydruid/client.py b/pydruid/client.py index c93b4a7c..d320322a 100755 --- a/pydruid/client.py +++ b/pydruid/client.py @@ -29,6 +29,74 @@ class PyDruid: + """ + PyDruid exposes a simple API for creating and executing Druid queries. PyDruid also exposes + a method for exporting query results into pandas.DataFrame objects for subsequent analysis + with the python scientific computing stack, or simply exporting query results to a TSV file + for analysis with your favorite tool, e.g., R, Julia, Matlab, Excel. + + :param str url: URL of Bard node in the Druid cluster + :param str endpoint: Endpoint that Bard listens for queries on + + :ivar str result_json: JSON object representing a query result. Initial value: None + :ivar list result: Query result parsed into a list of dicts. Initial value: None + :ivar str query_type: Name of most recently run query, e.g., topN. Initial value: None + :ivar dict query_dict: JSON object representing the query. Initial value: None + + Example + + .. code-block:: python + :linenos: + + >>> from pydruid.client import * + + >>> query = PyDruid('http://localhost:8083', 'druid/v2/') + + >>> top = query.topn( + datasource='twitterstream', + granularity='all', + intervals='2013-10-04/pt1h', + aggregations={"count": doublesum("count")}, + dimension='user_name', + filter = Dimension('user_lang') == 'en', + metric='count', + threshold=2 + ) + + >>> print json.dumps(query.query_dict, indent=2) + >>> { + "metric": "count", + "aggregations": [ + { + "type": "doubleSum", + "fieldName": "count", + "name": "count" + } + ], + "dimension": "user_name", + "filter": { + "type": "selector", + "dimension": "user_lang", + "value": "en" + }, + "intervals": "2013-10-04/pt1h", + "dataSource": "twitterstream", + "granularity": "all", + "threshold": 2, + "queryType": "topN" + } + + >>> print query.result + >>> [{'timestamp': '2013-10-04T00:00:00.000Z', + 'result': [{'count': 7.0, 'user_name': 'user_1'}, {'count': 6.0, 'user_name': 'user_2'}]}] + + >>> df = query.export_pandas() + >>> print df + >>> count timestamp user_name + 0 7 2013-10-04T00:00:00.000Z user_1 + 1 6 2013-10-04T00:00:00.000Z user_2 + """ + def __init__(self, url, endpoint): self.url = url self.endpoint = endpoint @@ -37,7 +105,7 @@ def __init__(self, url, endpoint): self.query_type = None self.query_dict = None - def post(self, query): + def __post(self, query): try: querystr = json.dumps(query) if self.url.endswith('/'): @@ -54,10 +122,10 @@ def post(self, query): raise IOError('{0} \n Query is: {1}'.format( e, json.dumps(self.query_dict, indent=4))) else: - self.result = self.parse() + self.result = self.__parse() return self.result - def parse(self): + def __parse(self): if self.result_json: res = json.loads(self.result_json) return res @@ -68,12 +136,43 @@ def parse(self): # --------- Export implementations --------- def export_tsv(self, dest_path): + """ + Export the current query result to a tsv file. + + :param str dest_path: file to write query results to + :raise NotImplementedError: + + Example + + .. code-block:: python + :linenos: + + >>> top = query.topn( + datasource='twitterstream', + granularity='all', + intervals='2013-10-04/pt1h', + aggregations={"count": doublesum("count")}, + dimension='user_name', + filter = Dimension('user_lang') == 'en', + metric='count', + threshold=2 + ) + + >>> query.export_tsv('top.tsv') + >>> !cat top.tsv + >>> count user_name timestamp + 7.0 user_1 2013-10-04T00:00:00.000Z + 6.0 user_2 2013-10-04T00:00:00.000Z + """ f = open(dest_path, 'wb') tsv_file = csv.writer(f, delimiter='\t') if self.query_type == "timeseries": header = self.result[0]['result'].keys() header.append('timestamp') + if self.query_type == 'topN': + header = self.result[0]['result'][0].keys() + header.append('timestamp') elif self.query_type == "groupBy": header = self.result[0]['event'].keys() header.append('timestamp') @@ -105,6 +204,35 @@ def export_tsv(self, dest_path): f.close() def export_pandas(self): + """ + Export the current query result to a Pandas DataFrame object. + + :return: The DataFrame representing the query result + :rtype: DataFrame + :raise NotImplementedError: + + Example + + .. code-block:: python + :linenos: + + >>> top = query.topn( + datasource='twitterstream', + granularity='all', + intervals='2013-10-04/pt1h', + aggregations={"count": doublesum("count")}, + dimension='user_name', + filter = Dimension('user_lang') == 'en', + metric='count', + threshold=2 + ) + + >>> df = query.export_pandas() + >>> print df + >>> count timestamp user_name + 0 7 2013-10-04T00:00:00.000Z user_1 + 1 6 2013-10-04T00:00:00.000Z user_2 + """ if self.result: if self.query_type == "timeseries": nres = [v['result'].items() + [('timestamp', v['timestamp'])] @@ -143,93 +271,225 @@ def build_query(self, args): query_dict = {'queryType': self.query_type} for key, val in args.iteritems(): - if key == "aggregations": + if key == 'aggregations': query_dict[key] = build_aggregators(val) - elif key == "postAggregations": - query_dict[key] = build_post_aggregators(val) + elif key == 'post_aggregations': + query_dict['postAggregations'] = Postaggregator.build_post_aggregators(val) + elif key == 'datasource': + query_dict['dataSource'] = val elif key == "filter": - query_dict[key] = build_filter(val) + query_dict[key] = Filter.build_filter(val) else: query_dict[key] = val self.query_dict = query_dict - def topn(self, **args): + def topn(self, **kwargs): """ A TopN query returns a set of the values in a given dimension, sorted by a specified metric. Conceptually, a topN can be thought of as an approximate GroupByQuery over a single dimension with an Ordering spec. TopNs are faster and more resource efficient than GroupBy for this use case. - :param args: key word arguments discussed below - :return: a dict representing the query result - - Required key/values are: + Required key/value pairs: - dataSource: A string that defines the data source to query - granularity: A string that defines how data gets aggregated by hour, day, minute, etc., - intervals: A string or list of strings that represent ISO-8601 Intervals for which to run the query on - aggregations: A dict with string key = 'aggregator_name', and value = one of the pydruid.utils.aggregators - dimension: A string that defines which dimension to run the query against - metric: A string that defines the metric over which to sort the specified dimension by - threshold: An integer defining how many of the top items to return + :param str datasource: Data source to query + :param str granularity: Aggregate data by hour, day, minute, etc., + :param intervals: ISO-8601 intervals of data to query + :type intervals: str or list + :param dict aggregations: A map from aggregator name to one of the pydruid.utils.aggregators e.g., doublesum + :param str dimension: Dimension to run the query against + :param str metric: Metric over which to sort the specified dimension by + :param int threshold: How many of the top items to return - Optional key/values are: + :return: The query result + :rtype: list[dict] - filter: A pydruid.utils.filters.Filter object indicating which rows of data to include in the query - postAggregations: A dict with string key = 'post_aggregator_name', and value pydruid.utils.PostAggregator + Optional key/value pairs: + :param pydruid.utils.filters.Filter filter: Indicates which rows of data to include in the query + :param post_aggregations: A dict with string key = 'post_aggregator_name', and value pydruid.utils.PostAggregator Example: - >> top = query.topn(dataSource='my_data', - granularity='hour', - intervals='["2013-06-14/pt2h"]', - aggregations={"count": doubleSum("count")}, - dimension='my_dimension', + .. code-block:: python + :linenos: + + >>> top = query.topn( + datasource='twitterstream', + granularity='all', + intervals='2013-06-14/pt1h', + aggregations={"count": doublesum("count")}, + dimension='user_name', metric='count', - threshold= 5 - ) + filter=Dimension('user_lang') == 'en', + threshold=1 + ) + >>> print top + >>> [{'timestamp': '2013-06-14T00:00:00.000Z', 'result': [{'count': 22.0, 'user': "cool_user"}}]}] """ self.query_type = 'topN' valid_parts = [ - 'dataSource', 'granularity', 'filter', 'aggregations', - 'postAggregations', 'intervals', 'dimension', 'threshold', + 'datasource', 'granularity', 'filter', 'aggregations', + 'post_aggregations', 'intervals', 'dimension', 'threshold', 'metric' ] - self.validate_query(valid_parts, args) - self.build_query(args) - return self.post(self.query_dict) + self.validate_query(valid_parts, kwargs) + self.build_query(kwargs) + return self.__post(self.query_dict) + + def timeseries(self, **kwargs): + """ + A timeseries query returns the values of the requested metrics (in aggregate) for each timestamp. + + Required key/value pairs: + + :param str datasource: Data source to query + :param str granularity: Time bucket to aggregate data by hour, day, minute, etc., + :param intervals: ISO-8601 intervals for which to run the query on + :type intervals: str or list + :param dict aggregations: A map from aggregator name to one of the pydruid.utils.aggregators e.g., doublesum + + :return: The query result + :rtype: list[dict] - def timeseries(self, **args): + Optional key/value pairs: + + :param pydruid.utils.filters.Filter filter: Indicates which rows of data to include in the query + :param post_aggregations: A dict with string key = 'post_aggregator_name', and value pydruid.utils.PostAggregator + + Example: + + .. code-block:: python + :linenos: + + >>> counts = query.timeseries( + datasource=twitterstream, + granularity='hour', + intervals='2013-06-14/pt1h', + aggregations={"count": doublesum("count"), "rows": count("rows")}, + post_aggregations={'percent': (Field('count') / Field('rows')) * Const(100))} + ) + >>> print counts + >>> [{'timestamp': '2013-06-14T00:00:00.000Z', 'result': {'count': 9619.0, 'rows': 8007, 'percent': 120.13238416385663}}] + """ self.query_type = 'timeseries' valid_parts = [ - 'dataSource', 'granularity', 'filter', 'aggregations', - 'postAggregations', 'intervals' + 'datasource', 'granularity', 'filter', 'aggregations', + 'post_aggregations', 'intervals' ] - self.validate_query(valid_parts, args) - self.build_query(args) - return self.post(self.query_dict) + self.validate_query(valid_parts, kwargs) + self.build_query(kwargs) + return self.__post(self.query_dict) + + def groupby(self, **kwargs): + """ + A group-by query groups a results set (the requested aggregate metrics) by the specified dimension(s). + + Required key/value pairs: + + :param str datasource: Data source to query + :param str granularity: Time bucket to aggregate data by hour, day, minute, etc., + :param intervals: ISO-8601 intervals for which to run the query on + :type intervals: str or list + :param dict aggregations: A map from aggregator name to one of the pydruid.utils.aggregators e.g., doublesum + :param list dimensions: The dimensions to group by + + :return: The query result + :rtype: list[dict] + + Optional key/value pairs: + + :param pydruid.utils.filters.Filter filter: Indicates which rows of data to include in the query + :param post_aggregations: A dict with string key = 'post_aggregator_name', and value pydruid.utils.PostAggregator + + Example: + + .. code-block:: python + :linenos: + + >>> group = query.groupby( + dataSource='twitterstream', + granularity='hour', + intervals='2013-10-04/pt1h', + dimensions=["user_name", "reply_to_name"], + filter=~(Dimension("reply_to_name") == "Not A Reply"), + aggregations={"count": doublesum("count")} + ) + >>> for k in range(2): + ... print group[k] + >>> {'timestamp': '2013-10-04T00:00:00.000Z', 'version': 'v1', 'event': {'count': 1.0, 'user_name': 'user_1', 'reply_to_name': 'user_2'}} + >>> {'timestamp': '2013-10-04T00:00:00.000Z', 'version': 'v1', 'event': {'count': 1.0, 'user_name': 'user_2', 'reply_to_name': 'user_3'}} + """ - def groupby(self, **args): self.query_type = 'groupBy' valid_parts = [ - 'dataSource', 'granularity', 'filter', 'aggregations', - 'postAggregations', 'intervals', 'dimensions' + 'datasource', 'granularity', 'filter', 'aggregations', + 'post_aggregations', 'intervals', 'dimensions' ] - self.validate_query(valid_parts, args) - self.build_query(args) - return self.post(self.query_dict) - - def segment_metadata(self, **args): - self.query_type = 'segmentMetaData' - valid_parts = ['dataSource', 'intervals'] - self.validate_query(valid_parts, args) - self.build_query(args) - return self.post(self.query_dict) - - def time_boundary(self, **args): + self.validate_query(valid_parts, kwargs) + self.build_query(kwargs) + return self.__post(self.query_dict) + + def segment_metadata(self, **kwargs): + """ + A segment meta-data query returns per segment information about: + + * Cardinality of all the columns present + * Column type + * Estimated size in bytes + * Estimated size in bytes of each column + * Interval the segment covers + * Segment ID + + Required key/value pairs: + + :param str datasource: Data source to query + :param intervals: ISO-8601 intervals for which to run the query on + :type intervals: str or list + + :return: The query result + :rtype: list[dict] + + Example: + + .. code-block:: python + :linenos: + + >>> meta = query.segment_metadata(datasource='twitterstream', intervals = '2013-10-04/pt1h') + >>> print meta[0].keys() + >>> ['intervals', 'id', 'columns', 'size'] + >>> print meta[0]['columns']['tweet_length'] + >>> {'errorMessage': None, 'cardinality': None, 'type': 'FLOAT', 'size': 30908008} + + """ + self.query_type = 'segmentMetadata' + valid_parts = ['datasource', 'intervals'] + self.validate_query(valid_parts, kwargs) + self.build_query(kwargs) + return self.__post(self.query_dict) + + def time_boundary(self, **kwargs): + """ + A time boundary query returns the min and max timestamps present in a data source. + + Required key/value pairs: + + :param str datasource: Data source to query + + :return: The query result + :rtype: list[dict] + + Example: + + .. code-block:: python + :linenos: + + >>> bound = query.time_boundary(datasource='twitterstream') + >>> print bound + >>> [{'timestamp': '2011-09-14T15:00:00.000Z', 'result': {'minTime': '2011-09-14T15:00:00.000Z', 'maxTime': '2014-03-04T23:44:00.000Z'}}] + """ self.query_type = 'timeBoundary' - valid_parts = ['dataSource'] - self.validate_query(valid_parts, args) - self.build_query(args) - return self.post(self.query_dict) + valid_parts = ['datasource'] + self.validate_query(valid_parts, kwargs) + self.build_query(kwargs) + return self.__post(self.query_dict) diff --git a/pydruid/utils/filters.py b/pydruid/utils/filters.py index ecfde90c..053bb4b1 100644 --- a/pydruid/utils/filters.py +++ b/pydruid/utils/filters.py @@ -53,6 +53,10 @@ def __or__(self, x): def __invert__(self): return Filter(type="not", field=self.filter['filter']) + @staticmethod + def build_filter(filter_obj): + return filter_obj.filter['filter'] + class Dimension: def __init__(self, dim): @@ -61,6 +65,3 @@ def __init__(self, dim): def __eq__(self, other): return Filter(dimension=self.dimension, value=other) - -def build_filter(filter_obj): - return filter_obj.filter['filter'] diff --git a/pydruid/utils/postaggregator.py b/pydruid/utils/postaggregator.py index c1837bc4..c6dd5e3a 100644 --- a/pydruid/utils/postaggregator.py +++ b/pydruid/utils/postaggregator.py @@ -43,6 +43,15 @@ def __div__(self, other): def fields(self, other): return [self.post_aggregator, other.post_aggregator] + @staticmethod + def build_post_aggregators(postaggs): + def rename_postagg(new_name, post_aggregator): + post_aggregator['name'] = new_name + return post_aggregator + + return [rename_postagg(new_name, postagg.post_aggregator) + for (new_name, postagg) in postaggs.iteritems()] + class Field(Postaggregator): def __init__(self, name): @@ -62,13 +71,3 @@ def __init__(self, value, output_name=None): Postaggregator.__init__(self, None, None, name) self.post_aggregator = { 'type': 'constant', 'name': name, 'value': value} - - -def build_post_aggregators(postaggs): - return [rename_postagg(new_name, postagg.post_aggregator) - for (new_name, postagg) in postaggs.iteritems()] - - -def rename_postagg(new_name, post_aggregator): - post_aggregator['name'] = new_name - return post_aggregator