[[TOC]] First get the man page of {{{rootifysql}}} either with {{{rootifysql --help}}} or (if installed) with {{{man rootifysql}}}. == Purpose == The idea of {{{rootifysql}}} is to conveniently request data from a MySQL database and write the contents returned into a tree in a root-file. Root trees offer a lot of nice features how to access the data fast and how to create plots easily. For details, please refer either to the Draw-function of TTree (e.g. https://root.cern.ch/doc/master/classTTree.html#a73450649dc6e54b5b94516c468523e45) or checkout the root user manual (https://root.cern.ch/guides/users-guide), in particular the section about '''Trees'''. In the following basic knowledge on C++, {{{root}}} and root trees is assumed. == Connection == How a connection to the database is established is outlined in: DatabaseBasedAnalysis/Connection. Per default, your connection will be compressed if the the host-address of the mysql-server is neither '''localhost''' nor '''127.0.0.1'''. To force compression use {{{ uri fact:password@ihp-pc45.ethz.ch/factdata?compress=1 }}} Generally, compression should be enable if connecting from the world. To test compression, the "''Hello World!''" example can be used. In the following it is assumed that the database connection is working and tested, so that the resources ({{{uri=...}}}) are omitted. == Hello World! == To test if everything is working correctly, we run a "''Hello World!''" example. Credentials should be in the rootifysql.rc which should be write protected. {{{ user@machine> rootifysql -d -n --query="SELECT 'Hello World\!'" Reading global options from 'fact++.rc'. Reading default options from 'rootifysql.rc'. ------------------------ Rootify SQL ------------------------- Connecting to database... Client Version: 5.7.23 Server Version: 5.7.23-0ubuntu0.18.04.1 Requesting data... Opening file '/dev/null' [compression=1]... Writing data to tree 'Result' Trying to setup 1 branches... Configured 0 branches. Filling branches... # Hello World! Hello World! 1 rows fetched. 1 rows filled into tree. 0 B written to disk. File closed. Execution time: 0.058136s (58.1 ms/row) -------------------------------------------------------------- }}} Voila! The {{{-d}}} option (a shortcut for {{{--display}}}) prints the result on standard out, the {{{-n}}} option (a shortcut to {{{--null}}}) redirects all output to {{{/dev/null}}} instead to a file. For benchmarking your query, you can also add {{{--no-fill}}} which does not only write to a root tree at {{{/dev/null}}} but does not fill the root tree at all. == Query in the file == Instead of typing your query on the command line, you can store in a text-file, for example {{{ user@machine> echo "SELECT 'Hello World\!'" > query.sql user@machine> rootifysql -d -n query.sql Reading global options from 'fact++.rc'. Reading default options from 'rootifysql.rc'. ------------------------ Rootify SQL ------------------------- Reading query from file 'query.sql'. Connecting to database... Client Version: 5.7.23 Server Version: 5.7.23-0ubuntu0.18.04.1 Requesting data... Opening file '/dev/null' [compression=1]... Writing data to tree 'Result' Trying to setup 1 branches... Configured 0 branches. Filling branches... # Hello World! Hello World! 1 rows fetched. 1 rows filled into tree. 0 B written to disk. File closed. Execution time: 0.0530581s (53.1 ms/row) -------------------------------------------------------------- }}} == Connection information == To get more information on the connection to the database, use {{{--print-connection}}}, for example {{{ user@machine> user@machine> rootifysql -d -n --print-connection query.sql [...] ------------------------ Rootify SQL ------------------------- [...] Compression of database connection is ON Connection to databases is ENCRYPTED (DHE-RSA-AES256-SHA) [...] -------------------------------------------------------------- Bytes_sent 398 Bytes_received 546 }}} Note that this data is retrieved through additional requests, which in principle slow down the execution time and add additional traffic to the connection. == Writing to an ASCII file == We can redirect the result of the query to an ASCII file by {{{ rootifysql -v 0 -d -n query.sql > output.txt }}} A verbosity level of 0 ({{{-v 0}}}) is required to turn off all the other output to standard out. If you want to keep it you can directly write to a file by {{{ rootifysql -n query.sql -w output.txt }}} Here {{{-w}}} is a shortcut to {{{--write}}}. == Writing to a root-file == == A simple request == rootifysql - Converts the result of a mysql query into a root file For convenience, this documentation uses the extended version of the options, refer to the output below to get the abbreviations. Writes the result of a mysql query into a root file. For each column, a branch is created of type double with the field name as name. This is usually the column name if not specified otherwise by the AS mysql directive. Columns with CHAR or VARCHAR as field type are ignored. DATETIME, DATE and TIME columns are converted to unix time (time_t). Rows containing any file which is NULL are skipped if not suppressed by the --ignore-null option. Ideally, the query is compiled in a way that no NULL field is returned. With the --display option the result of the request is printed on the screen (NULL skipping still in action). This can be useful to create an ascii file or to show results as 'SHOW DATABASES' or 'EXPLAIN table'. To redirect the contents into an ascii file, the option -v0 is useful. To suppredd writing to an output file --null can be used. The default is to read the query from a file called rootify.sql. Except if a different filename is specified by the --file option or a query is given with --query. As a trick, the rootify.sql file can be made excutable (chmod u+x rootify.sql). If the first line contains '#!rootifysql', the script can be executed directly. Columns whose name start with @ are skipped. If you want them in your output file give them a name using AS, e.g. 'SELECT @A:=5 AS A'. You can use variables in your sql query like @MyVar and define them on the command line. In this example with --var.MyVar=5 You can use environment definitions for substitutions in your SQL query. For example --env.TEST=5 would replace $TEST or ${TEST} in your query by 5.If you specifiy one environmentvariable more than once, a list is created. For example --env.TEST=1 --env.TEST=2 --env.TEST=3 would substitute $TEST or ${TEST} by '1, 2, 3'. This is useful for the SQL `IN` keyword. You can also read the values for an enviroment substitution from a file (one element per line), e.g. --env.TEST=file.txt. Empty lines and lines starting with a # are skipped. Comments in the query-file can be placed according to the SQL standard inline /*comment*/ or introduced with # (shell script style) or -- (SQL style). In case of succes, 0 is returned, a value>0 otherwise.