query.run(conn[, options]) → cursor query.run(conn[, options]) → object
Run a query on a connection, returning either a single JSON result or a cursor, depending on the query.
The optional arguments are:
read_mode
: One of three possible values affecting the consistency guarantee for the query (default: 'single'
). 'single'
(the default) returns values that are in memory (but not necessarily written to disk) on the primary replica.'majority'
will only return values that are safely committed on disk on a majority of replicas. This requires sending a message to every replica on each read, so it is the slowest but most consistent.'outdated'
will return values that are in memory on an arbitrarily-selected replica. This is the fastest but least consistent.time_format
: what format to return times in (default: 'native'
). Set this to 'raw'
if you want times returned as JSON objects for exporting.profile
: whether or not to return a profile of the query’s execution (default: False
).durability
: possible values are 'hard'
and 'soft'
. In soft durability mode RethinkDB will acknowledge the write immediately after receiving it, but before the write has been committed to disk.group_format
: what format to return grouped_data
and grouped_streams
in (default: 'native'
). Set this to 'raw'
if you want the raw pseudotype.noreply
: set to True
to not receive the result object or cursor and return immediately.db
: the database to run this query against as a string. The default is the database specified in the db
parameter to connect (which defaults to test
). The database may also be specified with the db command.array_limit
: the maximum numbers of array elements that can be returned by a query (default: 100,000). This affects all ReQL commands that return arrays. Note that it has no effect on the size of arrays being written to the database; those always have an upper limit of 100,000 elements.binary_format
: what format to return binary data in (default: 'native'
). Set this to 'raw'
if you want the raw pseudotype.min_batch_rows
: minimum number of rows to wait for before batching a result set (default: 8). This is an integer.max_batch_rows
: maximum number of rows to wait for before batching a result set (default: unlimited). This is an integer.max_batch_bytes
: maximum number of bytes to wait for before batching a result set (default: 1MB). This is an integer.max_batch_seconds
: maximum number of seconds to wait before batching a result set (default: 0.5). This is a float (not an integer) and may be specified to the microsecond.first_batch_scaledown_factor
: factor to scale the other parameters down by on the first batch (default: 4). For example, with this set to 8 and max_batch_rows
set to 80, on the first batch max_batch_rows
will be adjusted to 10 (80 / 8). This allows the first batch to return faster.Example: Run a query on the connection conn
and print out every row in the result.
for doc in r.table('marvel').run(conn): print doc
Example: If you are OK with potentially out of date data from all the tables involved in this query and want potentially faster reads, pass a flag allowing out of date data in an options object. Settings for individual tables will supercede this global setting for all tables in the query.
r.table('marvel').run(conn, read_mode='outdated')
Example: If you just want to send a write and forget about it, you can set noreply
to true in the options. In this case run
will return immediately.
r.table('marvel').run(conn, noreply=True)
Example: If you want to specify whether to wait for a write to be written to disk (overriding the table’s default settings), you can set durability
to 'hard'
or 'soft'
in the options.
r.table('marvel') .insert({ 'superhero': 'Iron Man', 'superpower': 'Arc Reactor' }) .run(conn, noreply=True, durability='soft')
Example: If you do not want a time object to be converted to a native date object, you can pass a time_format
flag to prevent it (valid flags are “raw” and “native”). This query returns an object with two fields (epoch_time
and $reql_type$
) instead of a native date object.
r.now().run(conn, time_format="raw")
Example: Specify the database to use for the query.
for doc in r.table('marvel').run(conn, db='heroes'): print doc
This is equivalent to using the db
command to specify the database:
r.db('heroes').table('marvel').run(conn) ...
Example: Change the batching parameters for this query.
r.table('marvel').run(conn, max_batch_rows=16, max_batch_bytes=2048)
Couldn't find what you were looking for?
© RethinkDB contributors
Licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License.
https://rethinkdb.com/api/python/run/