* Initial check in on REST API Query

* Working version

* docstring

* Update

* Update

* Make unit test happy

* Update docstring

* Update

* Update

* Update

* Adding unit tests

* Updated README.md

* jsonpath_rw to extra_requires

* escaping backslashes in neo4j publisher

* removing an extra backslash

* Bumping versions to 1.5.3

* Backward compatible patch

* Increment version

* Update

* Add new programmatic description nodes.
Currently only tested on tables.

Fixing the neo4j nodes to have unquoted suffix where applicable
Differentiating between normal description and programmatic description nodes for practical purposes
Refactored Description relation creation to the DescriptionMetadata object itself

* Adding a todo describing desired goal in table metadata object

* Removing description order which is now handled exclusively by frontend.
Removed column programmatic description as I think column stats will work for this use case, or if not, we can add at a later time.

Added a couple of comments and removed TODO

Fixing flake8 style issues

* Removing is_editable
Added another test table to sample data

Fixes from code review.
Adding default argument to source.
Adding type comment
Changing node key of the programmatic description
Modifying doc string comment
fixing new test that relies on description text

* cleaning up sample data loader given that standalone column was retired.

* incrementing minor version by 1

* adding UNQUOTED_SUFFIX to sort_order like what is done with other column model.

* first attempt at deprecating standalone column

fixing lint

* Adding a check to allow us to pull tables without schemas

* adding a test

Completely different badge approach. We can use a separate file to define what type a particular tag is in a more normalized vs denormalized fashion. (#185)

Required having TagMetadata be also Neo4jCsvSerializable
Refactored Tag Node creation to live inside TagMetadata.

* [AMD-1157] Adding schema_table field on Elasticsearch mapping for exact match

* Use display_name

* Update

* Made changes to where_clause_suffix

* Updated back to table_schema instead of table_name

* Added new line at end of file

* Removed blank space in new line

`DELAY_TIME` was an undefined constant previously. This patch makes
delay timeout configurable using a config param.

Default of 100 seconds as API request quota limits are guaranteed to be
refilled after said time interval accoring to the documentation at:
https://cloud.google.com/compute/docs/api-rate-limits

* Load service location from ENV

* Add Dashboards and Metrics

* Fix default ES names

* Make tag names always lowercase

* Update sample_data_loader.py

* Update the dep and move connector to extra_require

* update test deps

* not use all as it is keyword

When transformer returned null no more records is processed, this means a transformer cannot filter out data. It also mean the task silently skip process rest of the records.

Use configuration parameter for Google Cloud project_id instead of hardcoded.

* Initial working version of Watermark extractor with some tests

* Implement handling for sharded tables (with YYYYMMDD suffix)

* Extract BaseBigQueryExtractor with shared code

* ISSUE-186
* prep work, moving model objects to top level

* ISSUE-186
* added csv extractor

* ISSUE-186
* minor fix, to finish the work

* * added csv extractor test
* renamed standalone column model
* fixed sample data loader and sample data

* * parameterized the sample loader connections
* fixed table owner sample data file

* * fixed linting errors

* * added some missing load calls in new data loader
* fixed table stats data problem (quoting)

postgres metadata extractor logger fixed to only log sql stmt after getting the sqlalchemy scoped config (#172)

* add cassandra extractors, tests and docs

* add cassandra extractors, tests and docs

* code refactor based on pr and code linted

In practice, when requesting logs going back more than a few days, the
StackDriver API sometimes responds with an empty page with a next page
cursor. After polling the next page a few times you eventually start
getting entries. The empty pages have no `entries` key, which previously
resulted in a KeyError.

This change allows the extractor to continue polling instead of blowing up.

* glue_extractor scope refactor to glue and filters option add

* README refactor to explain glue configuration

* Mark sort_order col so Publisher leaves unquoted.

* Add UNQUOTED for sort_order to unit tests.

* Shorter lines for the flake8.

PyCharm's highlights were very confusing.

* Fixed Snowflake views being captured as tables

Updated snowflake_metadata_extractor.py and fixed that Snowflake views were captured as tables.

* Fixed unit tests for snowflake metadata extraction

* Fix lint error

This involved adding schema_name to table_stats model as well as float and int columns to sample data

* add aws glue extractor

* add sample code for glue extractor on README

* patch whole glue_extractor test to avoid boto3 error if not configured

* boto3 add on requirements

* Prevent empty table tags appearance

* Prevent empty table tags appearance

* Add sample table tag data to quickstart

* Add sample table tag data to quickstart

* Add sample table owner data to quick start (#139)

* Update example/sample_data/sample_table_owner.csv
Co-Authored-By: jornh <jornhansen@gmail.com>

* Add sample table owner data to quick start