Config Module Overview

Using this module, the user can tune Modin’s behavior. To see all avaliable configs just run python -m modin.config, this command will print all Modin configs with descriptions.

Public API

Potentially, the source of configs can be any, but for now only environment variables are implemented. Any environment variable originate from EnvironmentVariable, which contains most of the config API implementation.

class modin.config.envvars.EnvironmentVariable

Base class for environment variables-based configuration.

classmethod get()

Get config value.

Returns

Decoded and verified config value.

Return type

Any

classmethod get_help() → str

Generate user-presentable help for the config.

Returns

Return type

str

classmethod get_value_source()

Get value source of the config.

Returns

Return type

int

classmethod once(onvalue, callback)

Execute callback if config value matches onvalue value.

Otherwise accumulate callbacks associated with the given onvalue in the _once container.

Parameters

• onvalue (Any) – Config value to set.

• callback (callable) – Callable that should be executed if config value matches onvalue.

classmethod put(value)

Set config value.

Parameters

value (Any) – Config value to set.

classmethod subscribe(callback)

Add callback to the _subs list and then execute it.

Parameters

callback (callable) – Callable to execute.

Modin Configs List

Config Name	Env. Variable Name	Default Value	Description	Options
AsvDataSizeConfig	MODIN_ASV_DATASIZE_CONFIG		Allows to override default size of data (shapes).
AsvImplementation	MODIN_ASV_USE_IMPL	modin	Allows to select a library that we will use for testing performance.	(‘modin’, ‘pandas’)
Backend	MODIN_BACKEND	Pandas	Engine to run on a single node of distribution.	(‘Pandas’, ‘OmniSci’, ‘Pyarrow’, ‘Cudf’)
BenchmarkMode	MODIN_BENCHMARK_MODE	False	Whether or not to perform computations synchronously.
CpuCount	MODIN_CPUS	2	How many CPU cores to use during initialization of the Modin engine.
DoLogRpyc	MODIN_LOG_RPYC		Whether to gather RPyC logs (applicable for remote context).
DoTraceRpyc	MODIN_TRACE_RPYC		Whether to trace RPyC calls (applicable for remote context).
DoUseCalcite	MODIN_USE_CALCITE	True	Whether to use Calcite for OmniSci queries execution.
Engine	MODIN_ENGINE	Ray	Distribution engine to run queries by.	(‘Ray’, ‘Dask’, ‘Python’, ‘Native’)
GpuCount	MODIN_GPUS		How may GPU devices to utilize across the whole distribution.
IsDebug	MODIN_DEBUG		Force Modin engine to be “Python” unless specified by $MODIN_ENGINE.
IsExperimental	MODIN_EXPERIMENTAL		Whether to Turn on experimental features.
IsRayCluster	MODIN_RAY_CLUSTER		Whether Modin is running on pre-initialized Ray cluster.
Memory	MODIN_MEMORY		How much memory (in bytes) give to an execution engine. In Ray case: the amount of memory to start the Plasma object store with. In Dask case: the amount of memory that is given to each worker depending on CPUs used.
NPartitions	MODIN_NPARTITIONS	2	How many partitions to use for a Modin DataFrame (along each axis).
OmnisciFragmentSize	MODIN_OMNISCI_FRAGMENT_SIZE		How big a fragment in OmniSci should be when creating a table (in rows).
OmnisciLaunchParameters	MODIN_OMNISCI_LAUNCH_PARAMETERS	{‘enable_union’: 1, ‘enable_columnar_output’: 1, ‘enable_lazy_fetch’: 0, ‘null_div_by_zero’: 1, ‘enable_watchdog’: 0}	Additional command line options for the OmniSci engine. Please visit OmniSci documentation for the description of available parameters: https://docs.omnisci.com/installation-and-configuration/config-parameters#configuration-parameters-for-omniscidb
PersistentPickle	MODIN_PERSISTENT_PICKLE	False	Wheather serialization should be persistent.
ProgressBar	MODIN_PROGRESS_BAR	False	Whether or not to show the progress bar.
RayRedisAddress	MODIN_REDIS_ADDRESS		Redis address to connect to when running in Ray cluster.
RayRedisPassword	MODIN_REDIS_PASSWORD	random string	What password to use for connecting to Redis.
SocksProxy	MODIN_SOCKS_PROXY		SOCKS proxy address if it is needed for SSH to work.
TestDatasetSize	MODIN_TEST_DATASET_SIZE		Dataset size for running some tests.	(‘Small’, ‘Normal’, ‘Big’)
TestRayClient	MODIN_TEST_RAY_CLIENT	False	Set to true to start and connect Ray client before a testing session starts.
TrackFileLeaks	MODIN_TEST_TRACK_FILE_LEAKS	True	Whether to track for open file handles leakage during testing.

Usage Guide

See example of interation with Modin configs below, as it can be seen config value can be set either by setting the environment variable or by using config API.

import os

# Setting `MODIN_BACKEND` environment variable.
# Also can be set outside the script.
os.environ["MODIN_BACKEND"] = "OmniSci"

import modin.config
import modin.pandas as pd

# Checking initially set `Backend` config,
# which corresponds to `MODIN_BACKEND` environment
# variable
print(modin.config.Backend.get()) # prints 'Omnisci'

# Checking default value of `NPartitions`
print(modin.config.NPartitions.get()) # prints '8'

# Changing value of `NPartitions`
modin.config.NPartitions.put(16)
print(modin.config.NPartitions.get()) # prints '16'