table_dispatcher.py [switches] config.ini
table_dispatcher - PgQ consumer that is used to write source records into partitoned table.
table_dispatcher.py [switches] config.ini
table_dispatcher is PgQ consumer that reads url encoded records from source queue and writes them into partitioned tables according to configuration file. Used to partiton data. For example change log's that need to kept online only shortly can be written to daily tables and then dropped as they become irrelevant. Also allows to select which columns have to be written into target database Creates target tables according to configuration file as needed.
Basic table_dispatcher setup and usage can be summarized by the following steps:
PgQ must be installed in source database. See pgqadm man page for details. Target database must have pgq_ext schema installed.
edit a table_dispatcher configuration file, say table_dispatcher_sample.ini
create source queue
$ pgqadm.py ticker.ini create <queue>
launch table dispatcher in daemon mode
$ table_dispatcher.py table_dispatcher_sample.ini -d
start producing events
Name for particulat job the script does. Script will log under this name to logdb/logserver. The name is also used as default for PgQ consumer name. It should be unique.
Location for pid file. If not given, script is disallowed to daemonize.
Location for log file.
If continuisly running process, how long to sleep after each work loop, in seconds. Default: 1.
Close and reconnect older database connections.
foo.
Queue name to attach to. No default.
Consumers ID to use when registering. Default: %(job_name)s
Source database.
Target database.
Where to put data. when partitioning, will be used as base name
date field with will be used for partitioning.
SQL code used to create partition tables. Various magic replacements are done there:
| _PKEY | comma separated list of primery key columns. |
| _PARENT | schema-qualified parent table name. |
| _DEST_TABLE | schema-qualified partition table. |
| _SCHEMA_TABLE | same as DEST_TABLE but dots replaced with "_", to allow use as index names. |
[table_dispatcher] job_name = table_dispatcher_source_table_targetdb
src_db = dbname=sourcedb dst_db = dbname=targetdb
pgq_queue_name = sourceq
logfile = log/%(job_name)s.log pidfile = pid/%(job_name)s.pid
# where to put data. when partitioning, will be used as base name dest_table = orders
# names of the fields that must be read from source records fields = id, order_date, customer_name
# date field with will be used for partitioning part_field = order_date
# template used for creating partition tables
part_template =
create table _DEST_TABLE () inherits (orders);
alter table only _DEST_TABLE add constraint _DEST_TABLE_pkey primary key (id);
grant select on _DEST_TABLE to group reporting;
Following switches are common to all skytools.DBScript-based Python programs.
show help message and exit
make program silent
make program more verbose
make program go background
Following switches are used to control already running process. The pidfile is read from config then signal is sent to process id specified there.
reload config (send SIGHUP)
stop program safely (send SIGINT)
kill program immidiately (send SIGTERM)
PgQ trigger function pgq.logutriga() sends table change event into queue in following format:
(op || ":" || pkey_fields). Where op is either "I", "U" or "D", corresponging to insert, update or delete. And pkey_fields is comma-separated list of primary key fields for table. Operation type is always present but pkey_fields list can be empty, if table has no primary keys. Example: I:col1,col2
Urlencoded record of data. It uses db-specific urlecoding where existence of = is meaningful - missing = means NULL, present = means literal value. Example: id=3&name=str&nullvalue&emptyvalue=
Fully qualified table name.