Resolve a memory leak by large data on out_queue (related to #494)

[YasushiMiyata]

Description of the problems or issues

Is your pull request related to a problem? Please describe.
Fonduer accelerates parsing document with multi-processing.
Each process gets documents from in_queue (shared memory), and puts parsed data and document name to out_queue (shared memory).
This is well-known process, but possibility to hung up by memory leak of shared memory.
Previous code put parsed (relatively large) data to out_queue.
From the out_queue, other process get the data and commit it to postges DB.
See also #494

Does your pull request fix any issue.
See #494

Description of the proposed changes

Change out_queue input to only document name, not include parsed data.
Instead of committing data with out_queue, each multi-thread process commits parsed data before putting document name to out_queue.

Test plan

Do existing test and monitor python memory usage.
In my case (3000 html file, 12MB total), python memory usage reduce to 700MB from 1.4 GB.

Checklist

• I have updated the documentation accordingly.
• I have added tests to cover my changes.
• All new and existing tests passed.
• I have updated the CHANGELOG.rst accordingly.

[YasushiMiyata]

Fix add & commit process on multi-thread. parser.py, labeler.py and featurizer.py generate data on multi-threads, but they did add & commit data on single process through out_queue. So, I update codes
from

doc(html) -- in_queue -- th1: parser -- out_queue(doc name, parsed data) -- writer(parsed data)
                      |- th2: parser -|
                      |- th3: parser -|
                      |- th4: parser -|

to

doc(html) -- in_queue -- th1: parser -- writer(data) -- out_queue(doc name)
                      |- th2: parser -- writer(data) -|
                      |- th3: parser -- writer(data) -|
                      |- th4: parser -- writer(data) -|

This cahnge reduces memory usage and prevents memory leaks because out_queue will have less data.

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 86.08%. Comparing base (b1d72be) to head (3d05728).
Report is 6 commits behind head on master.

Additional details and impacted files

@@           Coverage Diff           @@
##           master     #545   +/-   ##
=======================================
  Coverage   86.07%   86.08%           
=======================================
  Files          92       92           
  Lines        4776     4779    +3     
  Branches      899      899           
=======================================
+ Hits         4111     4114    +3     
  Misses        475      475           
  Partials      190      190           

Flag	Coverage Δ
unittests	86.08% <100.00%> (+<0.01%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Files with missing lines	Coverage Δ
src/fonduer/features/featurizer.py	86.02% <100.00%> (ø)
src/fonduer/parser/parser.py	93.41% <100.00%> (ø)
src/fonduer/supervision/labeler.py	70.37% <100.00%> (ø)
src/fonduer/utils/udf.py	88.88% <100.00%> (+0.31%)	⬆️

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[senwu]

LGTM. 👍