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planemo upload for repository https://github.com/galaxyproject/tools-iuc/tree/master/tools/query_tabular commit dd35055c76d86fe98985b5825c1751efb8208242
| author | iuc |
|---|---|
| date | Thu, 27 Jun 2024 17:23:34 +0000 |
| parents | 3a6b78c39dca |
| children |
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<tool id="query_tabular" name="Query Tabular" version="3.3.2"> <description>using sqlite sql</description> <macros> <import>macros.xml</import> </macros> <expand macro="requirements"/> <command detect_errors="exit_code"><![CDATA[ cat '$query_file' && #if $add_to_database.withdb: #if $save_db: cp '$add_to_database.withdb' '$sqlitedb' && #else: cp '$add_to_database.withdb' '$workdb' && #end if #end if python '$__tool_directory__/query_tabular.py' -d #if $save_db -s '$sqlitedb' #else -s '$workdb' #end if -j '$table_json' #if $sqlquery: -Q '$query_file' @RESULT_HEADER@ -o '$output' #end if ]]></command> <configfiles> <configfile name="query_file"> $sqlquery </configfile> <configfile name="table_json"> #import json #set $jtbldef = dict() #set $jtbls = [] #set $jtbldef['tables'] = $jtbls #for $i,$tbl in enumerate($tables): #set $table = $tbl.table #set $jtbl = dict() #set $jtbl['file_path'] = str($tbl.table) #if $tbl.tbl_opts.table_name: #set $tname = str($tbl.tbl_opts.table_name) #else #set $tname = 't' + str($i + 1) #end if #set $jtbl['table_name'] = $tname ## #if $tbl.tbl_opts.sel_cols: ## #set $jtbl['sel_cols'] = $tbl.tbl_opts.sel_cols el_cols ## #end if #if $tbl.tbl_opts.pkey_autoincr: #set $jtbl['pkey_autoincr'] = str($tbl.tbl_opts.pkey_autoincr) #end if #if $tbl.tbl_opts.column_names_from_first_line: #set $jtbl['firstlinenames'] = True #end if #if $tbl.tbl_opts.col_names: #set $col_names = str($tbl.tbl_opts.col_names) #if $tbl.tbl_opts.load_named_columns: #set $jtbl['load_named_columns'] = True #end if #else #set $col_names = '' #end if #set $jtbl['column_names'] = $col_names #set $idx_unique = [] #set $idx_non = [] #for $idx in $tbl.tbl_opts.indexes: #if $idx.unique: #silent $idx_unique.append(str($idx.index_columns)) #else: #silent $idx_non.append(str($idx.index_columns)) #end if #end for #if len($idx_unique) > 0: #set $jtbl['unique'] = $idx_unique #end if #if len($idx_non) > 0: #set $jtbl['index'] = $idx_non #end if #set $dataset_name = $tbl.table.element_identifier #set $linefilters = $tbl.input_opts.linefilters @LINEFILTERS@ #if $input_filters: #set $jtbl['filters'] = $input_filters #end if #set $jtbls += [$jtbl] #end for #set $jstmts = [] #for $i,$stmt in enumerate($modify_database.sql_stmts): #set $jstmts += [str($stmt.sqlstmt)] #end for #if len($jstmts) > 0: #set $jtbldef['sql_stmts'] = $jstmts #end if #set $jqueries = [] #for $i,$query in enumerate($addqueries.queries): #set $jquery = dict() #set $jquery['query'] = str($query.sqlquery) #set $jquery['result_file'] = 'results' + str($i) + '.tsv' #if $query.query_result.header == 'yes': #set $header_prefix = '' #if $query.query_result.header_prefix: #set $header_prefix = chr(int(str($query.query_result.header_prefix))) #end if #set $jquery['header'] = $header_prefix #end if #set $jqueries += [$jquery] #end for #if len($jqueries) > 0: #set $jtbldef['queries'] = $jqueries #end if #echo $json.dumps($jtbldef) </configfile> </configfiles> <inputs> <param name="workdb" type="hidden" value="workdb.sqlite" label=""/> <section name="add_to_database" expanded="false" title="Add tables to an existing database"> <param name="withdb" type="data" format="sqlite" optional="true" label="Add tables to this Database" help="Make sure your added table names are not already in this database"/> </section> <repeat name="tables" title="Database Table" min="0"> <param name="table" type="data" format="tabular" label="Tabular Dataset for Table"/> <section name="input_opts" expanded="false" title="Filter Dataset Input"> <expand macro="macro_line_filters" /> </section> <section name="tbl_opts" expanded="false" title="Table Options"> <param name="table_name" type="text" value="" optional="true" label="Specify Name for Table"> <help>By default, tables will be named: t1,t2,...,tn (table names must be unique)</help> <validator type="regex" message="Table name should start with a letter and may contain additional letters, digits, and underscores">^[A-Za-z]\w*$</validator> </param> <param name="column_names_from_first_line" type="boolean" truevalue="True" falsevalue="False" checked="false" label="Use first line as column names" help="The names will be quoted if they are not valid SQLite column names."/> <param name="col_names" type="text" value="" optional="true" label="Specify Column Names (comma-separated list)"> <help>By default, table columns will be named: c1,c2,c3,...,cn (column names for a table must be unique) You can override the default names by entering a comma -separated list of names, e.g. ',name1,,,name2' would rename the second and fifth columns. </help> <sanitizer sanitize="False"/> <validator type="regex" message="A List of names separated by commas: Column names should start with a letter and may contain additional letters, digits, and underscores. Otherwise, the name must be eclosed in: double quotes, back quotes, or square brackets.">^([A-Za-z]\w*|"\S+[^,"]*"|`\S+[^,`]*`|\[\S+[^,"]*\])?(,([A-Za-z]\w*|"\S+[^,"]*"|`\S+[^,`]*`|\[\S+[^,"]*\])?)*$</validator> </param> <param name="load_named_columns" type="boolean" truevalue="load_named_columns" falsevalue="" checked="false" label="Only load the columns you have named into database"/> <param name="pkey_autoincr" type="text" value="" optional="true" label="Add an auto increment primary key column with this name" help="Only creates this additional column when a name is entered. (This can not be the same name as any of the other columns in this table.)"> <validator type="regex" message="Column name">^([A-Za-z]\w*)?$</validator> </param> <repeat name="indexes" title="Table Index"> <param name="unique" type="boolean" truevalue="yes" falsevalue="no" checked="False" label="This is a unique index"/> <param name="index_columns" type="text" value="" label="Index on Columns"> <help>Create an index on the column names: e.g. for default column names: c1 or c2,c4 ( use the names you gave for columns)</help> <validator type="regex" message="Column name, separated by commes if more than one">^([A-Za-z]\w*|"\S+[^,"]*"|`\S+[^,`]*`|\[\S+[^,"]*\])(,([A-Za-z]\w*|"\S+[^,"]"|`\S+[^,`]*`|\[\S+[^,"]*\])?)*$</validator> <sanitizer sanitize="False"/> </param> </repeat> </section> </repeat> <section name="modify_database" expanded="false" title="Modify the database"> <repeat name="sql_stmts" title="Database Manipulation SQL Statements" min="0"> <param name="sqlstmt" type="text" area="true" size="20x80" value="" optional="true" label="SQL Query to modify the database"> <help>These modify the SQLite database</help> <sanitizer sanitize="False"/> </param> </repeat> </section> <param name="save_db" type="boolean" truevalue="yes" falsevalue="no" checked="false" label="Save the sqlite database in your history" help="SQLite to tabular tool can run additional queries on this database"/> <expand macro="sql_query_input"/> <expand macro="result_results_header_line" /> <section name="addqueries" expanded="false" title="Additional Queries"> <repeat name="queries" title="SQL Query" min="0" max="3"> <expand macro="sql_query_input"/> <expand macro="result_results_header_line" /> </repeat> </section> </inputs> <outputs> <data format="sqlite" name="sqlitedb" label="sqlite db of ${on_string}"> <filter>save_db</filter> </data> <data format="tabular" name="output" label="query results on ${on_string}"> <filter>not save_db or (sqlquery and len(sqlquery.strip()) > 0)</filter> </data> <data format="tabular" name="output1" label="query 1 results on ${on_string}" from_work_dir="results0.tsv"> <filter>len(addqueries['queries']) > 0</filter> </data> <data format="tabular" name="output2" label="query 2 results on ${on_string}" from_work_dir="results1.tsv"> <filter>len(addqueries['queries']) > 1</filter> </data> <data format="tabular" name="output3" label="query 3 results on ${on_string}" from_work_dir="results2.tsv"> <filter>len(addqueries['queries']) > 2</filter> </data> </outputs> <tests> <!-- Test 1 --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="customers.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="comment"/> <param name="comment_char" value="35"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="customers"/> <param name="col_names" value="CustomerID,FirstName,LastName,Email,DOB,Phone"/> </section> </repeat> <repeat name="tables"> <param name="table" ftype="tabular" value="sales.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="comment"/> <param name="comment_char" value="35"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="sales"/> <param name="col_names" value="CustomerID,Date,SaleAmount"/> </section> </repeat> <param name="sqlquery" value="SELECT FirstName,LastName,sum(SaleAmount) as "TotalSales" FROM customers join sales on customers.CustomerID = sales.CustomerID GROUP BY customers.CustomerID ORDER BY TotalSales DESC"/> <output name="output" file="sales_results.tsv"/> </test> <!-- Test 2 --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="customers.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="comment"/> <param name="comment_char" value="35"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="col_names" value=",FirstName,LastName,,DOB,"/> </section> </repeat> <repeat name="tables"> <param name="table" ftype="tabular" value="sales.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="skip"/> <param name="skip_lines" value="1"/> </conditional> </repeat> </section> </repeat> <param name="sqlquery" value="SELECT FirstName,LastName,sum(t2.c3) as "TotalSales" FROM t1 join t2 on t1.c1 = t2.c1 GROUP BY t1.c1 ORDER BY TotalSales DESC;"/> <output name="output" file="sales_results.tsv"/> </test> <!-- Test 3 --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="customers.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="skip"/> <param name="skip_lines" value="1"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="col_names" value=",FirstName,LastName,,BirthDate,"/> </section> </repeat> <param name="sqlquery" value="select FirstName,LastName,re_sub('^\d{2}(\d{2})-(\d\d)-(\d\d)','\3/\2/\1',BirthDate) as "DOB" from t1 WHERE re_search('[hp]er',c4)"/> <output name="output" file="regex_results.tsv"/> </test> <!-- Test 4 --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="IEDB.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="comment"/> <param name="comment_char" value="35"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="iedb"/> <param name="col_names" value="ID,allele,seq_num,start,end,length,peptide,method,percentile_rank,ann_ic50,ann_rank,smm_ic50,smm_rank,comblib_sidney2008_score,comblib_sidney2008_rank,netmhcpan_ic50,netmhcpan_rank"/> </section> </repeat> <repeat name="tables"> <param name="table" ftype="tabular" value="netMHC_summary.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="skip"/> <param name="skip_lines" value="1"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="mhc_summary"/> <param name="col_names" value="pos,peptide,logscore,affinity,Bind_Level,Protein,Allele"/> </section> </repeat> <param name="sqlquery" value="select iedb.ID,iedb.peptide,iedb.start,iedb.end,iedb.percentile_rank,mhc_summary.logscore,mhc_summary.affinity,mhc_summary.Bind_Level from iedb left outer join mhc_summary on iedb.peptide = mhc_summary.peptide order by affinity,Bind_Level,percentile_rank"/> <output name="output" file="query_results.tsv"/> </test> <!-- Test 5 --> <test expect_num_outputs="1"> <section name="add_to_database"> <param name="withdb" ftype="sqlite" value="testdb.sqlite"/> </section> <repeat name="tables"> <param name="table" ftype="tabular" value="pets.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="regex"/> <param name="regex_pattern" value="^\d+"/> <param name="regex_action" value="include_find"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="comment"/> <param name="comment_char" value="35"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="append_line_num"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="select_columns"/> <param name="columns" value="7,2,3,4,1"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="replace"/> <param name="column" value="c4"/> <param name="regex_pattern" value="(\d+)/(\d+)/(\d+)"/> <param name="regex_replace" value="19\3-\2-\1"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="people"/> <param name="col_names" value="id,first,last,dob,pets"/> </section> </repeat> <param name="sqlquery" value="SELECT people.id,first,last,pets,quote FROM people JOIN contacts ON people.first = contacts.first_name"/> <output name="output" file="add_to_db_results.tsv"/> </test> <!-- Test 6 --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="pets.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="regex"/> <param name="regex_pattern" value="^\d+"/> <param name="regex_action" value="include_find"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="comment"/> <param name="comment_char" value="35"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="append_line_num"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="select_columns"/> <param name="columns" value="7,2,3,4,1"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="replace"/> <param name="column" value="c4"/> <param name="regex_pattern" value="(\d+)/(\d+)/(\d+)"/> <param name="regex_replace" value="19\3-\2-\1"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="people"/> <param name="col_names" value="id,first,last,dob,pets"/> </section> </repeat> <repeat name="tables"> <param name="table" ftype="tabular" value="pets.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="regex"/> <param name="regex_pattern" value="^\d+"/> <param name="regex_action" value="include_find"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="append_line_num"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="select_columns"/> <param name="columns" value="c7,c5,c6"/> </conditional> </repeat> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="normalize"/> <param name="columns" value="c2,c3"/> <param name="separator" value=","/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="pet"/> <param name="col_names" value="id,name,animal"/> </section> </repeat> <param name="sqlquery" value="SELECT people.id,first,last,dob,name,animal,pets FROM people JOIN pet ON people.id = pet.id WHERE animal = 'cat'"/> <output name="output" file="pet_normalized_query_results.tsv"/> </test> <!-- Test 7 --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="psm_report.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="select_columns"/> <param name="columns" value="1,3,2,6,14,19"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="PSMs"/> <param name="column_names_from_first_line" value="True"/> <param name="col_names" value="Scan"/> </section> </repeat> <param name="sqlquery" value="SELECT * from PSMs"/> <conditional name="query_result"> <param name="header" value="yes"/> <param name="header_prefix" value=""/> </conditional> <output name="output" file="psm_report_out1.tsv" compare="re_match"/> </test> <!-- Test 8 column_names_from_first_line --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="psm_report.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="select_columns"/> <param name="columns" value="1,3,2,6,14,19"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="PSMs"/> <param name="column_names_from_first_line" value="True"/> <param name="col_names" value="Scan"/> </section> </repeat> <param name="sqlquery" value="SELECT Scan,"m/z", "Precursor m/z Error [ppm]", Sequence, "Protein(s)" FROM PSMs WHERE NOT re_search(', ',"Protein(s)")"/> <conditional name="query_result"> <param name="header" value="yes"/> <param name="header_prefix" value=""/> </conditional> <output name="output" file="psm_report_out2.tsv" compare="re_match"/> </test> <!-- Test 9 modify database --> <test expect_num_outputs="2"> <repeat name="tables"> <param name="table" ftype="tabular" value="psm_report.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="select_columns"/> <param name="columns" value="1,3,2,6,14,19,23"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="PSMs"/> <param name="column_names_from_first_line" value="True"/> <param name="col_names" value="scan,,,,,,confidence"/> </section> </repeat> <section name="modify_database"> <repeat name="sql_stmts"> <param name="sqlstmt" value="UPDATE psms SET confidence = 99.999 WHERE confidence = 100.0"/> </repeat> </section> <param name="sqlquery" value="SELECT scan,"m/z", "Precursor m/z Error [ppm]", Sequence, "Protein(s)", confidence FROM PSMs WHERE NOT re_search(', ',"Protein(s)")"/> <conditional name="query_result"> <param name="header" value="yes"/> <param name="header_prefix" value="#"/> </conditional> <section name="addqueries"> <repeat name="queries"> <param name="sqlquery" value="SELECT * FROM psms WHERE confidence > 97.0"/> <conditional name="query_result"> <param name="header" value="yes"/> <param name="header_prefix" value=""/> </conditional> </repeat> </section> <output name="output" file="psm_dbmod_output.tsv" compare="re_match"/> <output name="output1" file="psm_dbmod_output1.tsv" compare="re_match"/> </test> <!-- Test 10 column_names_from_first_line --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="netMHC_summary.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="regex"/> <param name="regex_pattern" value="peptide"/> <param name="regex_action" value="include_find"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="epitope"/> <param name="column_names_from_first_line" value="True"/> </section> </repeat> <param name="sqlquery" value="SELECT * FROM epitope"/> <conditional name="query_result"> <param name="header" value="yes"/> <param name="header_prefix" value=""/> </conditional> <output name="output" file="netMHC_summary_out1.tsv" ftype="tabular"/> </test> <!-- Test 11 --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="netMHC_summary.tsv"/> <section name="input_opts"> <repeat name="linefilters"> <conditional name="filter"> <param name="filter_type" value="regex"/> <param name="regex_pattern" value="NOT TO BE FOUND"/> <param name="regex_action" value="include_find"/> </conditional> </repeat> </section> <section name="tbl_opts"> <param name="table_name" value="epitope"/> <param name="column_names_from_first_line" value="False"/> <param name="col_names" value="pos,peptide,logscore,,,,Allele"/> </section> </repeat> <param name="sqlquery" value="SELECT pos,peptide,logscore,Allele FROM epitope"/> <conditional name="query_result"> <param name="header" value="yes"/> <param name="header_prefix" value=""/> </conditional> <output name="output" file="netMHC_summary_out2.tsv" ftype="tabular"/> </test> <!-- Test 12 math functions --> <test expect_num_outputs="1"> <repeat name="tables"> <param name="table" ftype="tabular" value="math_input.tsv"/> </repeat> <param name="sqlquery" value="SELECT c1, c2, trunc(c2), floor(c2), ceil(c2), abs(c1), fabs(c2), mod(c1,2), fmod(c2, 1.5), sqrt(c1), sqrt(c2), degrees(c1), radians(c1), log(c1), log10(c1), pow(c1,2), exp(c2), exp(c1), cos(c1), sin(c1), tan(c1), cosh(c1), sinh(c1), tanh(c1), acos(c1), asin(c1),acosh(c1), asinh(c1) FROM t1"/> <output name="output"> <assert_contents> <has_text_matching expression="-2\t-2.222\t-2\t-3\t-2\t2\t2.222\t0\t-0.722\t\t\t-114.59155\d*\t-0.03490\d*\t\t\t4.0\t0.10839\d*\t0.13533\d*\t-0.41614\d*\t-0.90929\d*\t2.18503\d*\t3.76219\d*\t-3.62686\d*\t-0.96402\d*\t\t\t\t-1.44363\d*" /> <has_text_matching expression="-1\t-1.999\t-1\t-2\t-1\t1\t1.999\t1\t-0.49900\d*\t\t\t-57.29577\d*\t-0.01745\d*\t\t\t1.0\t0.13547\d*\t0.36787\d*\t0.54030\d*\t-0.84147\d*\t-1.55740\d*\t1.54308\d*\t-1.17520\d*\t-0.76159\d*\t3.14159\d*\t-1.57079\d*\t\t-0.88137\d*" /> <has_text_matching expression="0\t0.0\t0\t0\t0\t0\t0.0\t0\t0.0\t0.0\t0.0\t0.0\t0.0\t\t\t0.0\t1.0\t1.0\t1.0\t0.0\t0.0\t1.0\t0.0\t0.0\t1.57079\d*\t0.0\t\t0.0" /> <has_text_matching expression="1\t1.0\t1\t1\t1\t1\t1.0\t1\t1.0\t1.0\t1.0\t57.29577\d*\t0.01745\d*\t0.0\t0.0\t1.0\t2.71828\d*\t2.71828\d*\t0.54030\d*\t0.84147\d*\t1.55740\d*\t1.54308\d*\t1.17520\d*\t0.76159\d*\t0.0\t1.57079\d*\t0.0\t0.88137\d*" /> <has_text_matching expression="2\t2.22\t2\t2\t3\t2\t2.22\t0\t0.72000\d*\t1.41421\d*\t1.48996\d*\t114.59155\d*\t0.03490\d*\t0.69314\d*\t0.30102\d*\t4.0\t9.20733\d*\t7.38905\d*\t-0.41614\d*\t0.90929\d*\t-2.18503\d*\t3.76219\d*\t3.62686\d*\t0.96402\d*\t\t\t1.31695\d*\t1.44363\d*" /> <has_text_matching expression="3\t3.33333\d*\t3\t3\t4\t3\t3.33333\d*\t1\t0.33333\d*\t1.73205\d*\t1.82574\d*\t171.88733\d*\t0.05235\d*\t1.09861\d*\t0.47712\d*\t9.0\t28.03153\d*\t20.08553\d*\t-0.98999\d*\t0.14112\d*\t-0.14254\d*\t10.06766\d*\t10.01787\d*\t0.99505\d*\t\t\t1.76274\d*\t1.81844\d*" /> <has_text_matching expression="4\t4.00444\d*\t4\t4\t5\t4\t4.00444\d*\t0\t1.00443\d*\t2.0\t2.00110\d*\t229.18311\d*\t0.06981\d*\t1.38629\d*\t0.60205\d*\t16.0\t54.84110\d*\t54.59815\d*\t-0.65364\d*\t-0.75680\d*\t1.15782\d*\t27.30823\d*\t27.28991\d*\t0.99932\d*\t\t\t2.06343\d*\t2.09471\d*" /> <has_text_matching expression="5\t5.555\t5\t5\t6\t5\t5.555\t1\t1.05499\d*\t2.23606\d*\t2.35690\d*\t286.47889\d*\t0.08726\d*\t1.60943\d*\t0.69897\d*\t25.0\t258.52696\d*\t148.41315\d*\t0.28366\d*\t-0.95892\d*\t-3.38051\d*\t74.20994\d*\t74.20321\d*\t0.99990\d*\t\t\t2.29243\d*\t2.31243\d*" /> </assert_contents> </output> </test> </tests> <help><![CDATA[ ============= Query Tabular ============= **Inputs** Loads tabular datasets into a SQLite_ data base. An existing SQLite_ data base can be used as input, and any selected tabular datasets will be added as new tables in that data base. **NOTE:** If there are no data rows in an input tabular dataset, query_tabular will fail unless: - There is a row header line in the dataset and **Use first line as column names** is selected - **Specify Column Names** is used to provide column names in which case an empty table will be created with those columns @LINEFILTERS_HELP@ **Table Options** Specify Name for Table: - By default tables will be named: t1, t2, t3, etc. - **Specify Name for Table** You can provide your own name for a database table, the name should begin with a letter and only contain letters, digits, or underscores. The name should not be a SQLite key word: https://sqlite.org/lang_keywords.html There are several ways to name columns in a table: - By default table columns will be named: c1, c2, c3, etc. - If **Use first line as column names** is selected, the first line is interpreted as column names, and not loaded into the table as a data row. Any missing column name will be assigned cn where *n* is the ordinal position of the column, e.g. a blank header for the second column would be named: c2. The column names will be quoted is they are not valid identifiers, e.g. if they are SQLite keywords, or start with a non letter character, or contain a character other than a letter, digit, or underscore. The precedent for quoting is to enclose the identifier in double quotes, else if it contains a double quote enclose in square brackets, else if it contains a square bracket enclose in grave accents. **NOTE:** that this is the first line after line filtering has been applied. If a line filter *prepend a line number column* had been used, the name of the first column would be "1". You could rename that column using **Specify Column Names** - **Specify Column Names** (comma-separated list) This will override any previously assigned column names. You can also choose to only load those columns for which you provided a name, but that is better accomplished with the line filter: *select columns*. **Table Index** Queries on larger tables can be much faster if indexes are specified. In general, specifiy an index for table columns used in joins with other tables, or on columns used in SQL query WHERE clauses or in GROUP BY clauses. **Outputs** The results of a SQL query are output to the history as a tabular file. The SQLite_ data base can also be saved and output as a dataset in the history. *(The* **SQLite to tabular** *tool can run additional queries on this database.)* @QUERY_HELP@ @LINEFILTERS_HELP_EXAMPLE@ Table name: pets Table columns: Pets,FirstName,LastName,Birthdate,PetNames,PetType,line_num,entry_num,row_num Query: SELECT * FROM pets Result: ====== ========== ======== ========== ========= ======== ========= ========== ======== #Pets FirstName LastName BirthDate PetNames PetType line_num entry_num row_num ====== ========== ======== ========== ========= ======== ========= ========== ======== 2 Paula Brown 1978-05-24 Rex dog 3 1 1 2 Paula Brown 1978-05-24 Fluff cat 3 1 2 1 Steven Jones 1974-04-04 Allie cat 4 2 3 0 Jane Doe 1978-05-24 5 3 4 1 James Smith 1980-10-20 Spot 6 4 5 ====== ========== ======== ========== ========= ======== ========= ========== ======== **Normalizing by Line Filtering into 2 Tables** *Relational database opertions work with single-valued column entries. To apply relational operations to tabular files that contain fields with lists of values, we need to "normalize" those fields, duplicating lines for each item in the list. In this example we create 2 tables, one for single-valued fields and a second with list-valued fields normalized. Becauce we add a line number first for each table, we can join the 2 tables on the line number column.* https://en.wikipedia.org/wiki/First_normal_form *People Table* :: Filter 1 - by regex expression matching [include]: '^\d+' (include lines that start with a number) Filter 2 - append a line number column: Filter 3 - regex replace value in column[4]: '(\d+)/(\d+)/(\d+)' '19\3-\2-\1' (convert dates to sqlite format) Filter 4 - select columns 7,2,3,4,1 Table: People Columns: id,FirstName,LastName,DOB,Pets == ========= ======== ========== ==== id FirstName LastName DOB Pets == ========= ======== ========== ==== 1 Paula Brown 1978-05-24 2 2 Steven Jones 1974-04-04 1 3 Jane Doe 1978-05-24 0 4 James Smith 1980-10-20 1 == ========= ======== ========== ==== *Pet Table* :: Filter 1 - by regex expression matching [include]: '^\d+' (include lines that start with a number) Filter 2 - append a line number column: Filter 3 - by regex expression matching [exclude]: '^0\t' (exclude lines with no pets) Filter 4 - normalize list columns[5,6]: Filter 5 - select columns 7,5,6 Table: Pet Columns: id,PetName,PetType == ======== ======== id PetName PetType == ======== ======== 1 Rex dog 1 Fluff cat 2 Allie cat 4 Spot == ======== ======== Query: SELECT FirstName,LastName,PetName FROM People JOIN Pet ON People.id = Pet.id WHERE PetType = 'cat'; Result: ========= ======== ======== FirstName LastName PetName ========= ======== ======== Paula Brown Fluff Steven Jones Allie ========= ======== ======== ]]></help> <expand macro="citations" /> </tool>