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| <a href="profile_8sql__in.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">/* ----------------------------------------------------------------------- */</span><span class="comment">/** </span> |
| <a name="l00002"></a>00002 <span class="comment"> *</span> |
| <a name="l00003"></a>00003 <span class="comment"> * @file profile.sql_in</span> |
| <a name="l00004"></a>00004 <span class="comment"> *</span> |
| <a name="l00005"></a>00005 <span class="comment"> * @brief SQL function for single-pass table profiles</span> |
| <a name="l00006"></a>00006 <span class="comment"> * @date January 2011</span> |
| <a name="l00007"></a>00007 <span class="comment"> *</span> |
| <a name="l00008"></a>00008 <span class="comment"> * @sa For a brief introduction to "profiles", see the module</span> |
| <a name="l00009"></a>00009 <span class="comment"> * description grp_profile. Cf. also the module grp_sketches.</span> |
| <a name="l00010"></a>00010 <span class="comment"> *</span> |
| <a name="l00011"></a>00011 <span class="comment"> */</span><span class="comment">/* ----------------------------------------------------------------------- */</span> |
| <a name="l00012"></a>00012 |
| <a name="l00013"></a>00013 m4_include(`SQLCommon.m4<span class="stringliteral">')</span> |
| <a name="l00014"></a>00014 <span class="stringliteral"></span><span class="comment"></span> |
| <a name="l00015"></a>00015 <span class="comment">/**</span> |
| <a name="l00016"></a>00016 <span class="comment">@addtogroup grp_profile</span> |
| <a name="l00017"></a>00017 <span class="comment"></span> |
| <a name="l00018"></a>00018 <span class="comment"></span> |
| <a name="l00019"></a>00019 <span class="comment">@about</span> |
| <a name="l00020"></a>00020 <span class="comment">This module computes a "profile" of a table or view: a predefined set of </span> |
| <a name="l00021"></a>00021 <span class="comment">aggregates to be run on each column of a table.</span> |
| <a name="l00022"></a>00022 <span class="comment"></span> |
| <a name="l00023"></a>00023 <span class="comment">The following aggregates will be called on every integer column:</span> |
| <a name="l00024"></a>00024 <span class="comment">- min(), max(), avg()</span> |
| <a name="l00025"></a>00025 <span class="comment">- madlib.cmsketch_median()</span> |
| <a name="l00026"></a>00026 <span class="comment">- madlib.cmsketch_depth_histogram()</span> |
| <a name="l00027"></a>00027 <span class="comment">- madlib.cmsketch_width_histogram()</span> |
| <a name="l00028"></a>00028 <span class="comment"></span> |
| <a name="l00029"></a>00029 <span class="comment">And these on non-integer columns:</span> |
| <a name="l00030"></a>00030 <span class="comment">- madlib.fmsketch_dcount()</span> |
| <a name="l00031"></a>00031 <span class="comment">- madlib.mfvsketch_quick_histogram()</span> |
| <a name="l00032"></a>00032 <span class="comment">- madlib.mfvsketch_top_histogram()</span> |
| <a name="l00033"></a>00033 <span class="comment"></span> |
| <a name="l00034"></a>00034 <span class="comment">Because the input schema of the table or view is unknown, we need to synthesize </span> |
| <a name="l00035"></a>00035 <span class="comment">SQL to suit. This is done either via the <c>profile</c> or <c>profile_full</c></span> |
| <a name="l00036"></a>00036 <span class="comment">user defined function. </span> |
| <a name="l00037"></a>00037 <span class="comment"></span> |
| <a name="l00038"></a>00038 <span class="comment">@usage</span> |
| <a name="l00039"></a>00039 <span class="comment"></span> |
| <a name="l00040"></a>00040 <span class="comment">- Generate a basic profile information (subset of predefined aggregate functions) </span> |
| <a name="l00041"></a>00041 <span class="comment"> for all columns of the input table.</span> |
| <a name="l00042"></a>00042 <span class="comment"> <pre>SELECT * FROM \ref profile( '<em>input_table</em>');</pre></span> |
| <a name="l00043"></a>00043 <span class="comment">- Generate a full profile information (all predefined aggregate functions) </span> |
| <a name="l00044"></a>00044 <span class="comment"> for all columns of the input table.</span> |
| <a name="l00045"></a>00045 <span class="comment"> <pre>SELECT * FROM \ref profile_full( '<em>input_table</em>', <em>buckets</em>);</pre></span> |
| <a name="l00046"></a>00046 <span class="comment"></span> |
| <a name="l00047"></a>00047 <span class="comment">@examp</span> |
| <a name="l00048"></a>00048 <span class="comment"></span> |
| <a name="l00049"></a>00049 <span class="comment">- For basic profile run:</span> |
| <a name="l00050"></a>00050 <span class="comment">\verbatim</span> |
| <a name="l00051"></a>00051 <span class="comment">sql> SELECT * FROM profile( 'pg_catalog.pg_tables');</span> |
| <a name="l00052"></a>00052 <span class="comment"></span> |
| <a name="l00053"></a>00053 <span class="comment"> schema_name | table_name | column_name | function | value </span> |
| <a name="l00054"></a>00054 <span class="comment">-------------+------------+-------------+-------------------+-------</span> |
| <a name="l00055"></a>00055 <span class="comment"> pg_catalog | pg_tables | * | COUNT() | 105</span> |
| <a name="l00056"></a>00056 <span class="comment"> pg_catalog | pg_tables | schemaname | fmsketch_dcount() | 6</span> |
| <a name="l00057"></a>00057 <span class="comment"> pg_catalog | pg_tables | tablename | fmsketch_dcount() | 104</span> |
| <a name="l00058"></a>00058 <span class="comment"> pg_catalog | pg_tables | tableowner | fmsketch_dcount() | 2</span> |
| <a name="l00059"></a>00059 <span class="comment"> pg_catalog | pg_tables | tablespace | fmsketch_dcount() | 1</span> |
| <a name="l00060"></a>00060 <span class="comment"> pg_catalog | pg_tables | hasindexes | fmsketch_dcount() | 2</span> |
| <a name="l00061"></a>00061 <span class="comment"> pg_catalog | pg_tables | hasrules | fmsketch_dcount() | 1</span> |
| <a name="l00062"></a>00062 <span class="comment"> pg_catalog | pg_tables | hastriggers | fmsketch_dcount() | 2</span> |
| <a name="l00063"></a>00063 <span class="comment">(8 rows)</span> |
| <a name="l00064"></a>00064 <span class="comment">\endverbatim</span> |
| <a name="l00065"></a>00065 <span class="comment"></span> |
| <a name="l00066"></a>00066 <span class="comment">- For full profile run: </span> |
| <a name="l00067"></a>00067 <span class="comment">\verbatim</span> |
| <a name="l00068"></a>00068 <span class="comment">sql> SELECT * FROM profile_full( 'pg_catalog.pg_tables', 5);</span> |
| <a name="l00069"></a>00069 <span class="comment"></span> |
| <a name="l00070"></a>00070 <span class="comment"> schema_name | table_name | column_name | function | value </span> |
| <a name="l00071"></a>00071 <span class="comment">-------------+------------+-------------+-------------------------------------------------+----------------------------------------------------------------------------------------------------</span> |
| <a name="l00072"></a>00072 <span class="comment"> pg_catalog | pg_tables | * | COUNT() | 105</span> |
| <a name="l00073"></a>00073 <span class="comment"> pg_catalog | pg_tables | schemaname | fmsketch_dcount() | 6</span> |
| <a name="l00074"></a>00074 <span class="comment"> pg_catalog | pg_tables | schemaname | array_collapse(mfvsketch_quick_histogram((),5)) | [0:4]={pg_catalog:68,public:19,information_schema:7,gp_toolkit:5,maddy:5}</span> |
| <a name="l00075"></a>00075 <span class="comment"> pg_catalog | pg_tables | schemaname | array_collapse(mfvsketch_top_histogram((),5)) | [0:4]={pg_catalog:68,public:19,information_schema:7,gp_toolkit:5,maddy:5}</span> |
| <a name="l00076"></a>00076 <span class="comment"> pg_catalog | pg_tables | tablename | fmsketch_dcount() | 104</span> |
| <a name="l00077"></a>00077 <span class="comment"> pg_catalog | pg_tables | tablename | array_collapse(mfvsketch_quick_histogram((),5)) | [0:4]={migrationhistory:2,pg_statistic:1,sql_features:1,sql_implementation_info:1,sql_languages:1}</span> |
| <a name="l00078"></a>00078 <span class="comment"> pg_catalog | pg_tables | tablename | array_collapse(mfvsketch_top_histogram((),5)) | [0:4]={migrationhistory:2,pg_statistic:1,sql_features:1,sql_implementation_info:1,sql_languages:1}</span> |
| <a name="l00079"></a>00079 <span class="comment"> pg_catalog | pg_tables | tableowner | fmsketch_dcount() | 2</span> |
| <a name="l00080"></a>00080 <span class="comment"> pg_catalog | pg_tables | tableowner | array_collapse(mfvsketch_quick_histogram((),5)) | [0:1]={agorajek:104,alex:1}</span> |
| <a name="l00081"></a>00081 <span class="comment"> pg_catalog | pg_tables | tableowner | array_collapse(mfvsketch_top_histogram((),5)) | [0:1]={agorajek:104,alex:1}</span> |
| <a name="l00082"></a>00082 <span class="comment"> pg_catalog | pg_tables | tablespace | fmsketch_dcount() | 1</span> |
| <a name="l00083"></a>00083 <span class="comment"> pg_catalog | pg_tables | tablespace | array_collapse(mfvsketch_quick_histogram((),5)) | [0:0]={pg_global:28}</span> |
| <a name="l00084"></a>00084 <span class="comment"> pg_catalog | pg_tables | tablespace | array_collapse(mfvsketch_top_histogram((),5)) | [0:0]={pg_global:28}</span> |
| <a name="l00085"></a>00085 <span class="comment"> pg_catalog | pg_tables | hasindexes | fmsketch_dcount() | 2</span> |
| <a name="l00086"></a>00086 <span class="comment"> pg_catalog | pg_tables | hasindexes | array_collapse(mfvsketch_quick_histogram((),5)) | [0:1]={t:59,f:46}</span> |
| <a name="l00087"></a>00087 <span class="comment"> pg_catalog | pg_tables | hasindexes | array_collapse(mfvsketch_top_histogram((),5)) | [0:1]={t:59,f:46}</span> |
| <a name="l00088"></a>00088 <span class="comment"> pg_catalog | pg_tables | hasrules | fmsketch_dcount() | 1</span> |
| <a name="l00089"></a>00089 <span class="comment"> pg_catalog | pg_tables | hasrules | array_collapse(mfvsketch_quick_histogram((),5)) | [0:0]={f:105}</span> |
| <a name="l00090"></a>00090 <span class="comment"> pg_catalog | pg_tables | hasrules | array_collapse(mfvsketch_top_histogram((),5)) | [0:0]={f:105}</span> |
| <a name="l00091"></a>00091 <span class="comment"> pg_catalog | pg_tables | hastriggers | fmsketch_dcount() | 2</span> |
| <a name="l00092"></a>00092 <span class="comment"> pg_catalog | pg_tables | hastriggers | array_collapse(mfvsketch_quick_histogram((),5)) | [0:1]={f:102,t:3}</span> |
| <a name="l00093"></a>00093 <span class="comment"> pg_catalog | pg_tables | hastriggers | array_collapse(mfvsketch_top_histogram((),5)) | [0:1]={f:102,t:3}</span> |
| <a name="l00094"></a>00094 <span class="comment">(22 rows)</span> |
| <a name="l00095"></a>00095 <span class="comment">\endverbatim</span> |
| <a name="l00096"></a>00096 <span class="comment"></span> |
| <a name="l00097"></a>00097 <span class="comment">@implementation</span> |
| <a name="l00098"></a>00098 <span class="comment"></span> |
| <a name="l00099"></a>00099 <span class="comment">Because some of the aggregate functions used in profile return multi-dimensional </span> |
| <a name="l00100"></a>00100 <span class="comment">arrays, which are not easily handled in pl/python, we are using </span> |
| <a name="l00101"></a>00101 <span class="comment"><c>array_collapse</c> function to collaps the n-dim arrays to 1-dim arrays. </span> |
| <a name="l00102"></a>00102 <span class="comment">All values of 2 and upper dimensions are separated with ':' character.</span> |
| <a name="l00103"></a>00103 <span class="comment"></span> |
| <a name="l00104"></a>00104 <span class="comment">@sa File profile.sql_in documenting SQL functions.</span> |
| <a name="l00105"></a>00105 <span class="comment">*/</span> |
| <a name="l00106"></a>00106 |
| <a name="l00107"></a>00107 CREATE TYPE MADLIB_SCHEMA.profile_result AS ( |
| <a name="l00108"></a>00108 schema_name TEXT |
| <a name="l00109"></a>00109 , table_name TEXT |
| <a name="l00110"></a>00110 , column_name TEXT |
| <a name="l00111"></a>00111 , function TEXT |
| <a name="l00112"></a>00112 , value TEXT |
| <a name="l00113"></a>00113 ); |
| <a name="l00114"></a>00114 <span class="comment"></span> |
| <a name="l00115"></a>00115 <span class="comment">/**</span> |
| <a name="l00116"></a>00116 <span class="comment"> * @brief Compute a simple "profile" of a table or view</span> |
| <a name="l00117"></a>00117 <span class="comment"> *</span> |
| <a name="l00118"></a>00118 <span class="comment"> * @param input_table table name to analyze</span> |
| <a name="l00119"></a>00119 <span class="comment"> * @return Set of PROFILE_RESULT type</span> |
| <a name="l00120"></a>00120 <span class="comment"> */</span> |
| <a name="l00121"></a>00121 CREATE OR REPLACE FUNCTION MADLIB_SCHEMA.profile( input_table text) |
| <a name="l00122"></a>00122 RETURNS SETOF MADLIB_SCHEMA.profile_result |
| <a name="l00123"></a>00123 AS $$ |
| <a name="l00124"></a>00124 |
| <a name="l00125"></a>00125 PythonFunctionBodyOnly(`data_profile', `<a class="code" href="profile_8sql__in.html#a22f0136bb3d7740262b13030a2925a80" title="Compute a simple "profile" of a table or view.">profile</a><span class="stringliteral">')</span> |
| <a name="l00126"></a>00126 <span class="stringliteral"> </span> |
| <a name="l00127"></a>00127 <span class="stringliteral"> # schema_madlib comes from PythonFunctionBodyOnly</span> |
| <a name="l00128"></a>00128 <span class="stringliteral"> return profile.profile( schema_madlib, input_table, '</span>bas<span class="stringliteral">', None);</span> |
| <a name="l00129"></a>00129 <span class="stringliteral"></span> |
| <a name="l00130"></a>00130 <span class="stringliteral">$$ LANGUAGE plpythonu;</span> |
| <a name="l00131"></a>00131 <span class="stringliteral"></span><span class="comment"></span> |
| <a name="l00132"></a>00132 <span class="comment">/**</span> |
| <a name="l00133"></a>00133 <span class="comment"> * @brief Compute a full "profile" of a table or view</span> |
| <a name="l00134"></a>00134 <span class="comment"> *</span> |
| <a name="l00135"></a>00135 <span class="comment"> * @param input_table table name to analyze</span> |
| <a name="l00136"></a>00136 <span class="comment"> * @param buckets number of buckets for histogram functions</span> |
| <a name="l00137"></a>00137 <span class="comment"> * @return Set of PROFILE_RESULT type </span> |
| <a name="l00138"></a>00138 <span class="comment"> */</span> |
| <a name="l00139"></a>00139 CREATE OR REPLACE FUNCTION MADLIB_SCHEMA.profile_full( input_table text, buckets integer) |
| <a name="l00140"></a>00140 RETURNS SETOF MADLIB_SCHEMA.profile_result |
| <a name="l00141"></a>00141 AS $$ |
| <a name="l00142"></a>00142 |
| <a name="l00143"></a><a class="code" href="profile_8sql__in.html#a22f0136bb3d7740262b13030a2925a80">00143</a> PythonFunctionBodyOnly(`data_profile', `<a class="code" href="profile_8sql__in.html#a22f0136bb3d7740262b13030a2925a80" title="Compute a simple "profile" of a table or view.">profile</a><span class="stringliteral">')</span> |
| <a name="l00144"></a>00144 <span class="stringliteral"> </span> |
| <a name="l00145"></a>00145 <span class="stringliteral"> # schema_madlib comes from PythonFunctionBodyOnly</span> |
| <a name="l00146"></a>00146 <span class="stringliteral"> return profile.profile( schema_madlib, input_table, '</span>all<span class="stringliteral">', buckets);</span> |
| <a name="l00147"></a>00147 <span class="stringliteral"></span> |
| <a name="l00148"></a>00148 <span class="stringliteral">$$ LANGUAGE plpythonu;</span> |
| <a name="l00149"></a>00149 <span class="stringliteral"></span><span class="comment"></span> |
| <a name="l00150"></a>00150 <span class="comment">/**</span> |
| <a name="l00151"></a>00151 <span class="comment"> * @brief Collapses n-dimensional Arrays to 1-dim Array, so they can be read in</span> |
| <a name="l00152"></a>00152 <span class="comment"> * pl/python can read it. Otherwise we would get </span> |
| <a name="l00153"></a>00153 <span class="comment"> * ERROR: cannot convert multidimensional array to Python list</span> |
| <a name="l00154"></a>00154 <span class="comment"> *</span> |
| <a name="l00155"></a>00155 <span class="comment"> * @param input Mult-dim array</span> |
| <a name="l00156"></a>00156 <span class="comment"> * @return One dimensional anyarray</span> |
| <a name="l00157"></a>00157 <span class="comment"> */</span> |
| <a name="l00158"></a>00158 CREATE OR REPLACE FUNCTION MADLIB_SCHEMA.array_collapse( input anyarray) |
| <a name="l00159"></a>00159 RETURNS anyarray |
| <a name="l00160"></a>00160 AS $$ |
| <a name="l00161"></a><a class="code" href="profile_8sql__in.html#a879e445d74412b093d411ed9a7180a1e">00161</a> DECLARE |
| <a name="l00162"></a>00162 x TEXT[]; |
| <a name="l00163"></a>00163 i INTEGER; |
| <a name="l00164"></a>00164 BEGIN |
| <a name="l00165"></a>00165 IF array_lower( input, 1) is NULL OR array_upper( input, 1) is NULL THEN |
| <a name="l00166"></a>00166 x[1] = NULL; |
| <a name="l00167"></a>00167 RETURN x; |
| <a name="l00168"></a>00168 END IF; |
| <a name="l00169"></a>00169 FOR i IN array_lower( input, 1)..array_upper( input, 1) LOOP |
| <a name="l00170"></a>00170 x[i] := array_to_string( input[i:i][array_lower( input, 2):array_upper( input, 2)], ':<span class="stringliteral">');</span> |
| <a name="l00171"></a>00171 <span class="stringliteral"> END LOOP;</span> |
| <a name="l00172"></a>00172 <span class="stringliteral"> RETURN x;</span> |
| <a name="l00173"></a>00173 <span class="stringliteral">END;</span> |
| <a name="l00174"></a>00174 <span class="stringliteral">$$ LANGUAGE plpgsql;</span> |
| </pre></div></div> |
| </div> |
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