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jaraco.mongodb.migration
implements the Migration Manager as featured
at the MongoWorld 2016 <https://www.mongodb.com/world16>
presentation
From the Polls to the Trolls <https://combinatronics.com/yougov/mongoworld-2016/merged/index.html#/>
.
Use it to load documents of various schema versions into a target version that
your application expects.
jaraco.mongodb.install
makes it super easy to get a download of the
community version of MongoDB on any platform:
py -m jaraco.mongodb.install
By default, it will install to the current directory. Use --target
to
install to another location.
jaraco.mongodb.sessions
implements a CherryPy Sessions store backed by
MongoDB.
By default, the session store will handle sessions with any objects that can be inserted into a MongoDB collection naturally.
To support richer objects, one may configure the codec to use jaraco.modb
.
jaraco.mongodb.fields
provides two functions, encode and decode, which
take arbitrary unicode text and transform it into values suitable as keys
on older versions of MongoDB by backslash-escaping the values.
To monitor an ongoing index operation in a server, simply invoke:
python -m jaraco.mongodb.monitor-index-creation mongodb://host/db
To move files from one gridfs collection to another, invoke:
python -m jaraco.mongodb.move-gridfs --help
And follow the usage for moving all or some gridfs files and optionally deleting the files after.
This package provides an oplog
module, which is based on the
mongooplog-alt <https://github.com/asivokon/mongooplog-alt/>
project,
which itself is a Python remake of official mongooplog utility <https://docs.mongodb.com/manual/reference/program/mongooplog/>
,
shipped with MongoDB starting from version 2.2 and deprecated in 3.2.
It reads oplog of a remote
server, and applies operations to the local server. This can be used to keep
independed replica set loosly synced in much the same way as Replica Sets
are synced, and may
be useful in various backup and migration scenarios.
oplog
implements basic functionality of the official utility and
adds following features:
tailable oplog reader: runs forever polling new oplog event which is extremly useful for keeping two independent replica sets in almost real-time sync.
option to sync only selected databases/collections.
option to exclude one or more namespaces (i.e. dbs or collections) from being synced.
ability to "rename" dbs/collections on fly, i.e. destination namespaces can differ from the original ones. This feature works on mongodb 1.8 and later. Official utility only supports version 2.2.x and higher.
save last processed timestamp to file, resume from saved point later.
Invoke the command as a module script: python -m jaraco.mongodb.oplog
.
Usage is as follows::
$ python -m jaraco.mongodb.oplog --help
usage: oplog.py [--help] [--source host[:port]] [--oplogns OPLOGNS]
[--dest host[:port]] [-w WINDOW] [-f] [--ns [NS [NS ...]]]
[-x [EXCLUDE [EXCLUDE ...]]]
[--rename [ns_old=ns_new [ns_old=ns_new ...]]] [--dry-run]
[--resume-file FILENAME] [-s SECONDS] [-l LOG_LEVEL]
optional arguments:
--help show usage information
--source host[:port] Hostname of the mongod server from which oplog
operations are going to be pulled. Called "--from" in
mongooplog.
--oplogns OPLOGNS Source namespace for oplog
--dest host[:port] Hostname of the mongod server (or replica set as <set
name>/s1,s2) to which oplog operations are going to be
applied. Default is "localhost". Called "--host" in
mongooplog.
-w WINDOW, --window WINDOW
Time window to query, like "3 days" or "24:00" (24
hours, 0 minutes).
-f, --follow Wait for new data in oplog. Makes the utility polling
oplog forever (until interrupted). New data is going
to be applied immediately with at most one second
delay.
--ns [NS [NS ...]] Process only these namespaces, ignoring all others.
Space separated list of strings in form of ``dname``
or ``dbname.collection``. May be specified multiple
times.
-x [EXCLUDE [EXCLUDE ...]], --exclude [EXCLUDE [EXCLUDE ...]]
List of space separated namespaces which should be
ignored. Can be in form of ``dname`` or
``dbname.collection``. May be specified multiple
times.
--rename [ns_old=ns_new [ns_old=ns_new ...]]
Rename database(s) and/or collection(s). Operations on
namespace ``ns_old`` from the source server will be
applied to namespace ``ns_new`` on the destination
server. May be specified multiple times.
--dry-run Suppress application of ops.
--resume-file FILENAME
Read from and write to this file the last processed
timestamp.
-l LOG_LEVEL, --log-level LOG_LEVEL
Set log level (DEBUG, INFO, WARNING, ERROR)
Consider the following sample usage::
python -m jaraco.mongodb.oplog --source prod.example.com:28000 --dest dev.example.com:28500 -f --exclude logdb data.transactions --seconds 600
This command is going to take operations from the last 10 minutes from prod,
and apply them to dev. Database logdb
and collection transactions
of
data
database will be omitted. After operations for the last minutes will
be applied, command will wait for new changes to come, keep running until
Ctrl+C or other termination signal recieved.
The tool provides a --dry-run
option and when logging at the DEBUG level will
emit the oplog entries. Combine these to use the tool as an oplog cat tool::
$ python -m jaraco.mongodb.oplog --dry-run -s 0 -f --source prod.example.com --ns survey_tabs -l DEBUG
Tests for oplog
are written in javascript using test harness
which is used for testing MongoDB iteself. You can run the oplog suite with::
mongo tests/oplog.js
Tests produce alot of output. Succesful execution ends with line like this::
ReplSetTest stopSet *** Shut down repl set - test worked ****
These tests are run as part of the continuous integration and release acceptance tests in Travis.
jaraco.mongodb
provides some pretty sophisticated pytest fixtures.
mongodb_instance
is a running MongoDB instance with a PyMongo connection
ready to use. It attempts to locate an existing MongoDB install, or if it
cannot find one, it downloads the community edition and installs it to a
temporary directory for the test session.
This fixture makes it straightforward to run scripts like
this example in pip-run <https://github.com/jaraco/pip-run/blob/main/examples/test-mongodb-covered-query.py>
_
that can fully validate an expectation about MongoDB behavior on any
platform without any dependency but pip-run (and of course Python).