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#### joe made this: http://goel.io/joe | ||
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#####=== Linux ===##### | ||
*~ | ||
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# KDE directory preferences | ||
.directory | ||
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# Linux trash folder which might appear on any partition or disk | ||
.Trash-* | ||
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#####=== OSX ===##### | ||
.DS_Store | ||
.AppleDouble | ||
.LSOverride | ||
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# Icon must end with two \r | ||
Icon | ||
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# Thumbnails | ||
._* | ||
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# Files that might appear in the root of a volume | ||
.DocumentRevisions-V100 | ||
.fseventsd | ||
.Spotlight-V100 | ||
.TemporaryItems | ||
.Trashes | ||
.VolumeIcon.icns | ||
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# Directories potentially created on remote AFP share | ||
.AppleDB | ||
.AppleDesktop | ||
Network Trash Folder | ||
Temporary Items | ||
.apdisk | ||
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#####=== Vim ===##### | ||
[._]*.s[a-w][a-z] | ||
[._]s[a-w][a-z] | ||
*.un~ | ||
Session.vim | ||
.netrwhist | ||
*~ | ||
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#####=== Python ===##### | ||
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# Byte-compiled / optimized / DLL files | ||
__pycache__/ | ||
*.py[cod] | ||
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# C extensions | ||
*.so | ||
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# Distribution / packaging | ||
.Python | ||
env/ | ||
venv/ | ||
build/ | ||
develop-eggs/ | ||
dist/ | ||
downloads/ | ||
eggs/ | ||
lib/ | ||
lib64/ | ||
parts/ | ||
sdist/ | ||
var/ | ||
*.egg-info/ | ||
.installed.cfg | ||
*.egg | ||
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# PyInstaller | ||
# Usually these files are written by a python script from a template | ||
# before PyInstaller builds the exe, so as to inject date/other infos into it. | ||
*.manifest | ||
*.spec | ||
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# Installer logs | ||
pip-log.txt | ||
pip-delete-this-directory.txt | ||
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# Unit test / coverage reports | ||
htmlcov/ | ||
.tox/ | ||
.coverage | ||
.cache | ||
nosetests.xml | ||
coverage.xml | ||
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# Translations | ||
*.mo | ||
*.pot | ||
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# Django stuff: | ||
*.log | ||
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# Sphinx documentation | ||
docs/_build/ | ||
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# PyBuilder | ||
target/ | ||
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#####=== JetBrains ===##### | ||
# Covers JetBrains IDEs: IntelliJ, RubyMine, PhpStorm, AppCode, PyCharm | ||
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*.iml | ||
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## Directory-based project format: | ||
.idea/ | ||
# if you remove the above rule, at least ignore the following: | ||
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# User-specific stuff: | ||
# .idea/workspace.xml | ||
# .idea/tasks.xml | ||
# .idea/dictionaries | ||
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# Sensitive or high-churn files: | ||
# .idea/dataSources.ids | ||
# .idea/dataSources.xml | ||
# .idea/sqlDataSources.xml | ||
# .idea/dynamic.xml | ||
# .idea/uiDesigner.xml | ||
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# Gradle: | ||
# .idea/gradle.xml | ||
# .idea/libraries | ||
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# Mongo Explorer plugin: | ||
# .idea/mongoSettings.xml | ||
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## File-based project format: | ||
*.ipr | ||
*.iws | ||
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## Plugin-specific files: | ||
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# IntelliJ | ||
out/ | ||
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# mpeltonen/sbt-idea plugin | ||
.idea_modules/ | ||
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# JIRA plugin | ||
atlassian-ide-plugin.xml | ||
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# Crashlytics plugin (for Android Studio and IntelliJ) | ||
com_crashlytics_export_strings.xml | ||
crashlytics.properties | ||
crashlytics-build.properties | ||
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#####=== Vim ===##### | ||
[._]*.s[a-w][a-z] | ||
[._]s[a-w][a-z] | ||
*.un~ | ||
Session.vim | ||
.netrwhist | ||
*~ | ||
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#####=== VirtualEnv ===##### | ||
# Virtualenv | ||
# http://iamzed.com/2009/05/07/a-primer-on-virtualenv/ | ||
.Python | ||
[Bb]in | ||
[Ii]nclude | ||
[Ll]ib | ||
[Ss]cripts | ||
pyvenv.cfg | ||
pip-selfcheck.json | ||
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#####=== OSX ===##### | ||
.DS_Store | ||
.AppleDouble | ||
.LSOverride | ||
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# Icon must end with two \r | ||
Icon | ||
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# Thumbnails | ||
._* | ||
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# Files that might appear on external disk | ||
.Spotlight-V100 | ||
.Trashes | ||
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####=== Airflow ===#### | ||
logs | ||
.env | ||
.env2 | ||
.env-* | ||
airflow-webserver.pid | ||
airflow.db | ||
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####=== coala ===#### | ||
.orig | ||
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####=== pytest ===#### | ||
.pytest_cache | ||
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####=== Docker ===#### | ||
docker-compose.override.yml |
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stages: | ||
- build | ||
- test | ||
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black: | ||
stage: build | ||
image: python:3.6 | ||
before_script: | ||
- pip install black | ||
script: | ||
- black --check . --diff | ||
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pytest: | ||
stage: test | ||
image: python:3.6 | ||
before_script: | ||
- pip install -r requirements-test.txt | ||
script: | ||
- pytest |
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# pg2avro | ||
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Postgres to Avro generator. | ||
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## Features | ||
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- Generate Avro schema from column definition. | ||
- Generate data format consumable for Avro serialization. | ||
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# Usage | ||
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## Generating schema | ||
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Method: `pg2avro.get_avro_schema` | ||
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``` | ||
get_avro_schema( | ||
"mytable", | ||
"public", | ||
[ | ||
# Dictionary mode | ||
{ | ||
"name": "column_name_1", | ||
"type": "int2", | ||
"nullable": False, | ||
}, | ||
# SqlAlchemy mode | ||
SqlAlchemyColumn(ARRAY(TEXT), name="column_name_2"), | ||
... | ||
] | ||
) | ||
``` | ||
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Schema generator needs the following information: | ||
- table name | ||
- namespace (`schema` in SQL, `dataset` in Big Query etc.) | ||
- columns - iterable of columns, each element with: | ||
- name | ||
- type - `_` prefix is used to indicate array types | ||
- nullable (optional, `True` assumed if not provided) | ||
- column mapping - optional `ColumnMapping` object with column mappings (see below for more info). | ||
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Column data can be passed in multiple formats. | ||
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### Supported column formats | ||
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- Dictionary with required keys and data | ||
- SqlAlchemy Column object | ||
- Any object with compatible attributes and required data | ||
- Dictionary or object with required data, but without compatible attributes/keys, supplied with ColumnMapping. | ||
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Note: this mode supports **generating schema from raw postgres data** - `udt_name` can be used to generate the schema. | ||
``` | ||
columns = [ | ||
CustomColumn(name="column_name", udt_name="int2", is_nullable=False), | ||
] | ||
get_avro_schema( | ||
table_name, | ||
namespace, | ||
columns, | ||
ColumnMapping(name="name", type="udt_name", nullable="is_nullable"), | ||
) | ||
``` | ||
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## Generating rows data | ||
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Method: `pg2avro.get_avro_row_dict` | ||
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This method requires rows data and schema to generate the rows with. | ||
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### Supported row formats | ||
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- Dictionary with keys corresponding to schema field names | ||
- Object with keys corresponding to schema field names (works the same as dictionary with corresponding fields) | ||
- Tuple with data in the same order as fields specified in schema | ||
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``` | ||
columns = [ | ||
{"name": "name", "type": "varchar", "nullable": False}, | ||
{"name": "number", "type": "float4", "float4", "nullable": False}, | ||
] | ||
schema = get_avro_schema(table_name, namespace, columns) | ||
rows = [ | ||
{"name": "John", "number": 1.0}, | ||
RowObject(name="Jack", number=2.0), | ||
("Jim", 3.0), | ||
] | ||
data = [get_avro_row_dict(row, schema) for row in rows] | ||
``` |
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