[
https://issues.apache.org/jira/browse/BEAM-8335?focusedWorklogId=393931&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-393931
]
ASF GitHub Bot logged work on BEAM-8335:
----------------------------------------
Author: ASF GitHub Bot
Created on: 27/Feb/20 03:13
Start Date: 27/Feb/20 03:13
Worklog Time Spent: 10m
Work Description: rohdesamuel commented on pull request #10915:
[BEAM-8335] Add PCollection to DataFrame logic for InteractiveRunner.
URL: https://github.com/apache/beam/pull/10915#discussion_r384892289
##########
File path: sdks/python/apache_beam/runners/interactive/utils.py
##########
@@ -0,0 +1,112 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You under the Apache License, Version 2.0
+# (the "License"); you may not use this file except in compliance with
+# the License. You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#
+
+"""Utilities to be used in Interactive Beam.
+"""
+
+from __future__ import absolute_import
+
+import pandas as pd
+
+from apache_beam.typehints import typehints as th
+from apache_beam.utils.windowed_value import WindowedValue
+
+COLUMN_PREFIX = 'el'
+
+
+def parse_row_(el, element_type, depth):
+ elements = []
+ columns = []
+
+ # Recurse if there are a known length of columns to parse into.
+ if isinstance(element_type, (th.TupleHint.TupleConstraint)):
+ for index, t in enumerate(element_type._inner_types()):
+ underlying_columns, underlying_elements = parse_row_(el[index], t,
+ depth + 1)
+ column = '[{}]'.format(index)
+ if underlying_columns:
+ columns += [column + c for c in underlying_columns]
+ else:
+ columns += [column]
+ elements += underlying_elements
+
+ # Don't make new columns for variable length types.
+ elif isinstance(
+ element_type,
+ (th.ListHint.ListConstraint, th.TupleHint.TupleSequenceConstraint)):
+ elements = [pd.array(el)]
+
+ # For any other types, try to parse as a namedtuple, otherwise pass element
+ # through.
+ else:
+ fields = getattr(el, '_fields', None)
+ if fields:
+ columns = list(fields)
+ if depth > 0:
+ columns = ['[{}]'.format(f) for f in fields]
+ elements = [el._asdict()[f] for f in fields]
Review comment:
This code was removed in a recent commit, but ack on getattr being more
natural
----------------------------------------------------------------
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
For queries about this service, please contact Infrastructure at:
us...@infra.apache.org
Issue Time Tracking
-------------------
Worklog Id: (was: 393931)
Time Spent: 75h 50m (was: 75h 40m)
> Add streaming support to Interactive Beam
> -----------------------------------------
>
> Key: BEAM-8335
> URL: https://issues.apache.org/jira/browse/BEAM-8335
> Project: Beam
> Issue Type: Improvement
> Components: runner-py-interactive
> Reporter: Sam Rohde
> Assignee: Sam Rohde
> Priority: Major
> Time Spent: 75h 50m
> Remaining Estimate: 0h
>
> This issue tracks the work items to introduce streaming support to the
> Interactive Beam experience. This will allow users to:
> * Write and run a streaming job in IPython
> * Automatically cache records from unbounded sources
> * Add a replay experience that replays all cached records to simulate the
> original pipeline execution
> * Add controls to play/pause/stop/step individual elements from the cached
> records
> * Add ability to inspect/visualize unbounded PCollections
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
