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Run Modin on cluster #46
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I don't think we should merge this until at least the Documentation is ready. Potentially we can all collaborate on this branch in the meantime? |
I'll add documentation tomorrow. |
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Left a few comments. Overall looks good!
modin/scripts/configure_head_node.sh
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KEY=$2 | ||
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ssh -i $2 -o "StrictHostKeyChecking no" $1 << "ENDSSH" | ||
pip3 install modin jupyter |
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We might want to think about this line for the final implementation. Ideally, we would let the user specify the python they want to use (or somehow require it on the $PATH).
For now, I would suggest just doing python -m pip
so it installs for the python on the $PATH. How does this affect ray start
and ray stop
?
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I'll add this fix. It shouldn't affect ray start
and ray stop
unless the user manually installs Ray with another version of python.
modin/scripts/scripts.py
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redis_address = cluster.setup_cluster(config) | ||
print("\nLaunching notebook\n") | ||
print("*" * 68) | ||
print(("To connect to the cluster, run the following commands in the " |
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Ideally this would go in our __init__
so we should be able to detect if the cli was used.
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Agreed, I'm still thinking about how to best set this up. Do you think setting an environment variable with the redis address and detecting that in the __init__
is a good solution?
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That would probably be good, but we probably should use two environment variables, one for MODIN_EXECUTION_FRAMEWORK
and one for MODIN_RAY_REDIS_ADDRESS
or something like that.
modin/scripts/cluster.py
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def setup_cluster(config): | ||
"""Sets up a cluster given a valid configuration""" | ||
if config["execution_engine"] != "ray": | ||
raise ValueError("Only Ray clusters supported for now") |
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Prefer NotImplementedError
We've tried to make it super easy to start/manage a Ray cluster with the documentation in http://ray.readthedocs.io/en/latest/using-ray-on-a-large-cluster.html (for the existing cluster case), and http://ray.readthedocs.io/en/latest/autoscaling.html (for AWS/GCP). This PR is targeting the existing the existing cluster case. If you find |
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def check_required(config, schema): | ||
"""Check required config entries""" | ||
if type(config) is not dict and type(config) is not list: |
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It's more canonical to use isinstance
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#!/usr/bin/sh |
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I've made some scripts like this in the past, and in the end I've always had to convert them from bash -> Python. Happy to share examples.
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Would love to take a look!
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from __future__ import absolute_import | |||
from __future__ import print_function |
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did you intend to omit from __future__ import division
?
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import os | |||
import subprocess | |||
import yaml |
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@ericl can you comment on whether whether it makes sense to support an autoscaler config that takes in a bunch of IP addresses for nodes in an existing cluster?
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Yes, that should work
@@ -0,0 +1,146 @@ | |||
import os |
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I'd suggest adding the from __future__ import ...
lines for consistency
if os.environ.get("MODIN_EXECUTION_FRAMEWORK") == "ray" and \ | ||
os.environ.get("MODIN_RAY_REDIS_ADDRESS"): | ||
redis_address = os.environ.get("MODIN_RAY_REDIS_ADDRESS") | ||
ray.init(redis_address=redis_address) |
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I suspect it will simplify users' lives to just call ray.init(redis_addres=...)
but I could be wrong about that.
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@devin-petersohn thoughts? This was what I was doing in an older version of the PR.
@robertnishihara agreed, if parts of this PR generalize to generic Ray clusters, I would be happy to merge them upstream. At first, I hoped to first take advantage of the autoscaler scripts in order to easily run Pandas on Ray AWS/GCP clusters, but after some discussion @devin-petersohn thought it might be best to develop a script for manually managed clusters first. |
@pschafhalter Will you be ok if I push this PR forward? |
@simon-mo sure, although I think it should be redesigned to take advantage of the Ray's newly added support for local clusters ray-project/ray#2678 |
Can one of the admins verify this patch? |
Jenkins, add to whitelist. |
Build finished. Test FAILed. |
Test FAILed. |
Build finished. Test FAILed. |
Test FAILed. |
Closed since this is out-of-date |
support np.float64 literal
* Fix nlargest and smallest support Signed-off-by: Naren Krishna <[email protected]>
Signed-off-by: Naren Krishna <[email protected]>
…a service Signed-off-by: Devin Petersohn <[email protected]> Fixes to pass CI + docs for io.py Update implementation Signed-off-by: Devin Petersohn <[email protected]> Fix some things Signed-off-by: Devin Petersohn <[email protected]> Lint fixes Fix put Signed-off-by: Devin Petersohn <[email protected]> Clean up and add new details Signed-off-by: Devin Petersohn <[email protected]> Use fsspec to get full path and allow URLs Signed-off-by: Devin Petersohn <[email protected]> Add lazy loc Signed-off-by: Devin Petersohn <[email protected]> fixes for tests porting more tests more fixes moar fixes Raise exception Signed-off-by: Devin Petersohn <[email protected]> Lint fixes Return Python as the default modin engine Handle indexing case for client qc Call fast path for __getitem__ if not lazy Remove user warning for Python-engine fall back Add init Signed-off-by: Devin Petersohn <[email protected]> Implement free as a no-op Signed-off-by: Devin Petersohn <[email protected]> Add support for replace - client side Fix a couple of issues with Client Signed-off-by: Devin Petersohn <[email protected]> Throw errors on to_pandas Signed-off-by: Devin Petersohn <[email protected]> Do not default to pandas for str_repeat Add support for 18 datetime functions/properties Fix columns caching when renaming columns Fix test_query: put backticks back for col names Add support for astype -- client side hard coded changes for functions Client support for str_(en/de)code, to_datetime Add all missing query compiler methods. Signed-off-by: mvashishtha <[email protected]> Fix getitem_column_array and take_2d. Signed-off-by: mvashishtha <[email protected]> Fix getitem_column_array and take_2d. Signed-off-by: mvashishtha <[email protected]> Fix again. Signed-off-by: mvashishtha <[email protected]> Fix more bugs. Signed-off-by: mvashishtha <[email protected]> More fixes. Signed-off-by: mvashishtha <[email protected]> Fix more bugs-- pushdown tests test_dates and test_pivot still broken due to service bugs. Signed-off-by: mvashishtha <[email protected]> Fix typo. Note drop() broken because service requires you to specify both argument and client QC at base of this PR uses default Nones. Signed-off-by: mvashishtha <[email protected]> Add query compiler class. Signed-off-by: mvashishtha <[email protected]> Testing a commit Initial changes for adding support for Expanding FEAT Support for rolling.sem FEAT support for Expanding sum, min, max, mean, var, std, count, sem Removing extratenous comment REFACTOR: Remove defaults to pandas at API layer and add some corresponding client QC methods. Signed-off-by: mvashishtha <[email protected]> Add more methods. Signed-off-by: mvashishtha <[email protected]> Fix expanding. Signed-off-by: mvashishtha <[email protected]> Add ewm. Signed-off-by: mvashishtha <[email protected]> Revert whitespace. Signed-off-by: mvashishtha <[email protected]> Fix to_numpy by making it like to_pandas. Signed-off-by: mvashishtha <[email protected]> Remove extra to_numpy. Signed-off-by: mvashishtha <[email protected]> Pass kwargs Signed-off-by: mvashishtha <[email protected]> Fix DataFrame import for isin. Signed-off-by: mvashishtha <[email protected]> Fix again. Signed-off-by: mvashishtha <[email protected]> Remove breakpoint Signed-off-by: mvashishtha <[email protected]> Tell if series. Signed-off-by: mvashishtha <[email protected]> Fix client qc. Signed-off-by: mvashishtha <[email protected]> Add self_is_series. Signed-off-by: mvashishtha <[email protected]> FIX: Set numeric_only to True in groupby quantile Add some comments Fix str_cat/fullmatch/removeprefix/removesuffix/translate/wrap (modin-project#44) * Fix str_cat/fullmatch/removeprefix/removesuffix/translate/wrap * Update modin/core/storage_formats/base/query_compiler.py Co-authored-by: Mahesh Vashishtha <[email protected]> * Update modin/pandas/series_utils.py Co-authored-by: Mahesh Vashishtha <[email protected]> * Update modin/core/storage_formats/base/query_compiler.py Co-authored-by: Mahesh Vashishtha <[email protected]> Co-authored-by: Mahesh Vashishtha <[email protected]> FEAT Support expanding.aggregate (modin-project#45) Fix at_time and between_time. (modin-project#43) Signed-off-by: mvashishtha <[email protected]> Signed-off-by: mvashishtha <[email protected]> Add QC method for groupby.sem (modin-project#47) * FEAT: Add partial support for groupby.sem() * Add sem changes to groupby Fix nlargest and nsmallest Series support (modin-project#46) * Fix nlargest and smallest support Signed-off-by: Naren Krishna <[email protected]> Remove client query compiler's columnarize. (modin-project#48) Signed-off-by: mvashishtha <[email protected]> Signed-off-by: mvashishtha <[email protected]> Fix info and set memory_usage=False. (modin-project#49) Signed-off-by: mvashishtha <[email protected]> Signed-off-by: mvashishtha <[email protected]> POND-815 fixes for 21 column dataset (modin-project#50) * POND-815 fixes for 21 column dataset * Update modin/pandas/base.py Co-authored-by: helmeleegy <[email protected]> --------- Co-authored-by: helmeleegy <[email protected]> Bring in upstream series binary operation fix 6d5545f… (modin-project#52) * Bring in upstream series binary operation fix 6d5545f. Signed-off-by: mvashishtha <[email protected]> * Update modin/pandas/series.py Co-authored-by: Karthik Velayutham <[email protected]> --------- Signed-off-by: mvashishtha <[email protected]> Co-authored-by: Karthik Velayutham <[email protected]> Support groupby first/last (modin-project#53) Signed-off-by: Naren Krishna <[email protected]> FEAT: Add initial partial support for groupby.cumcount() (modin-project#54) * FEAT: Add partial support for cumcount * Remove the set_index_name * Squeeze the result * Write cumcount name to None * Can't set dtype to int64 Fix resample sum, prod, size (modin-project#56) Signed-off-by: Naren Krishna <[email protected]> POND-184: fix describe and simplify query compiler interface (modin-project#55) * Fix describe Signed-off-by: mvashishtha <[email protected]> * Pass datetime_is_numeric. Signed-off-by: mvashishtha <[email protected]> --------- Signed-off-by: mvashishtha <[email protected]> Fix dt_day_of_week/day_of_year, str_cat/extract/partition/replace/rpartition (modin-project#51) * Fix dt_day_of_week/day_of_year, str_partition/replace/rpartition * Fix str_extract Revert "Fix dt_day_of_week/day_of_year, str_cat/extract/partition/replace/rpartition (modin-project#51)" (modin-project#58) This reverts commit f7a31ab. Revert "Revert "Fix dt_day_of_week/day_of_year, str_cat/extract/partition/replace/rpartition (modin-project#51)" (modin-project#58)" (modin-project#60) This reverts commit ad9231d. Add query compiler method for groupby.prod() (modin-project#57) Signed-off-by: Naren Krishna <[email protected]> FEAT: Add support for groupby.head and groupby.tail (modin-project#61) * FEAT: Add support for groupby.head and groupby.tail * Change _change_index FEAT: Add partial support for groupby.nth (modin-project#62) FIX: Push first and last down to query compiler. (modin-project#64) * FIX: Push first and last down to query compiler. Signed-off-by: mvashishtha <[email protected]> * Fix last. Signed-off-by: mvashishtha <[email protected]> --------- Signed-off-by: mvashishtha <[email protected]> FEAT: Add partial support for groupby.ngroup (modin-project#65) * FEAT: Add partial support for groupby.ngroup * Name of result should be none for now Add client support for SeriesGroupby unique, nsmallest, nlargest (modin-project#63) * Add client support for SeriesGroupby unique, nsmallest, nlargest Signed-off-by: Naren Krishna <[email protected]> --------- Signed-off-by: Naren Krishna <[email protected]> Push memory_usage entirely to query compiler [change is not to be upstreamed to Modin] (modin-project#66) * Fix dataframe memory usage. Signed-off-by: mvashishtha <[email protected]> * Fix series memory_usage() the same way. Signed-off-by: mvashishtha <[email protected]> --------- Signed-off-by: mvashishtha <[email protected]> FIX: allow updating backend query compilers in place. (modin-project#67) * FIX: Mutate client query compiler columns and index in the service. Motivation: Align axis update semantics across query compilers. In the base query compiler and even our service's query compiler, you can update the index and columns in place. However, the service gives no way to update axes of a query compiler. Right now, for inplace updates, service exposes an extra method rename(), and client query compiler uses this to get the id of a new compiler with updated axis, and then updates its id ID of the new query compiler. This change might be the first to make the service present a mutable interface for a backend query compiler. That seems safe to me, except I had to make copy() get a new query compiler copied from the old query compiler, because we can't let updates to the new query compiler change the original (or vice versa). Signed-off-by: mvashishtha <[email protected]> * Add a comment. Signed-off-by: mvashishtha <[email protected]> --------- Signed-off-by: mvashishtha <[email protected]> FEAT replace groupby.fillna with a simpler logic (modin-project#68) * FEAT Support expanding.aggregate * Replaced groupby.fillna logic with a simpler one * Fix in groupby.fillna. Work object was causing problems. * Only need to change _check_index_name to _check_index * Removed commented out code.
Signed-off-by: Naren Krishna <[email protected]>
Signed-off-by: Naren Krishna <[email protected]>
Signed-off-by: Naren Krishna <[email protected]>
Signed-off-by: Naren Krishna <[email protected]>
Signed-off-by: Naren Krishna <[email protected]>
Signed-off-by: Naren Krishna <[email protected]>
Signed-off-by: Naren Krishna <[email protected]>
Signed-off-by: Naren Krishna <[email protected]>
This PR lays the groundwork for using modin on clusters. It exposes a primitive way method for running Modin on a cluster using a jupyter notebook.
Example use
modin notebook --config=config.yaml --port=8889
This will launch a Modin cluster configured by
config.yaml
with the jupyter notebook accessible atlocalhost:8889
.See
example_config.yaml
for information on the config file.What do these changes do?
Future work for follow-up PRs
ray.init(redis_address=...)
into notebook or override ray initializationimport modin
git diff upstream/master -u -- "*.py" | flake8 --diff