Grep multiple strings in same file1/15/2024 ![]() ![]() No spaces are added to the output string beyond the minimum. Note that as of MySQL 8.0.20 the VALUES in UPDATE is deprecated (row alias is used instead), so this functionality might need to be updated some day if VALUES is removed completely. ![]() Will produce: # INSERT INTO table_name (col1,col2) VALUES (?,?),(?,?) ON DUPLICATE KEY UPDATE col1=VALUES(col1),col2=VALUES(col2) E.g.: my $sql = multi_insert_sql('table_name',, 2, 'update') The duplicates => 'update' option creates an ON DUPLICATE KEY UPDATE clause for the query. for MySQL with columns named from and to you can do: cols => įor PostgreSQL or Oracle you'd do, for SQL Server /] etc. If you are using reserved words as table/column names (which is strongly discouraged), just include the appropriate delimiter in the table or cols parameter. NOTES Using reserved words as object names Passing 'update' as the argument returns a query containing an `ON DUPLICATE KEY UPDATE` clause (see "NOTES" for further details). $duplicate : For MySQL, passing 'ignore' as the 4th argument returns an INSERT IGNORE query. You can define any number of rows to use with multi-row bind variable arrays. $num_of_rows : By default it returns SQL with bind value placeholders for a single row. Requires at least the name of the table $table and an arrayref with the column names See "NOTES" if you want to quote table or column names. $duplicates? # can be set as ignore/update in case of duplicate key (MySQL)īuilds bulk insert query (single insert is possible too), with ability for ignore/on duplicate key update variants for MySQL. Multi_insert_sql my $sql = # names of table columns The default behaviour will leave an undef as the bind variable, which may either create an empty string in the db or give an error depending on your column type and db settings.ĭuplicates : For MySQL, define as 'ignore' or 'update' to get an INSERT IGNORE or ON DUPLICATE KEY UPDATE query respectively. Null_undef : If true, any undefined values will be converted to SQL's NULL (similar to the SQL::Abstract default). The first row (element in array) needs to contain the superset of all the columns that you want to insert, if some of your rows have undefined column data. # similar to SQL::Abstract or SQL::Maker insert, but with much less overhead: # There are also functions to just get the SQL statement and its bind vars # references instead of values (no need to define cols in constructor) # Alternative, pass a single row as a hash, allows SQL code passed as ![]() # (otherwise there is auto-flush on the object's destruction) # You can manually flush the buffer at any time with no argument on insert # Fastest method: pass single or multiple rows of data as an array ![]() You can provide default values for variables directly in your templates using the Jinja2 ‘default’ filter.SQL::Inserter - Efficient buffered DBI inserter and fast INSERT SQL builder VERSIONīuffer => 100? # Default buffer is 100 rows If you configure Ansible to ignore most undefined variables, you can mark some variables as requiring values with the mandatory filter. Searching strings with regular expressionsįilters can help you manage missing or undefined variables by providing defaults or making some variables optional. Hashing and encrypting strings and passwords Selecting from sets or lists (set theory) Selecting values from arrays or hashtables You can create custom Ansible filters as plugins, though we generally welcome new filters into the ansible-core repo so everyone can use them.īecause templating happens on the Ansible controller, not on the target host, filters execute on the controller and transform data locally.ĭefining different values for true/false/null (ternary)Ĭombining items from multiple lists: zip and zip_longest You can also use Python methods to transform data. You can use the Ansible-specific filters documented here to manipulate your data, or use any of the standard filters shipped with Jinja2 - see the list of built-in filters in the official Jinja2 template documentation.
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