[hive-csv] Infer schema from csv #5267
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timifasubaa
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superset/db_engine_specs.py
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| filename = form.csv_file.data.filename | ||
| def convert_to_hive_type(col_type): | ||
| """maps tableschema's types to hive types""" | ||
| if col_type == "number": |
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I think having a dict for the mapping would be cleaner also would allow for people to easily add more types if need be.
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Agree. Added it to config
| @@ -34,6 +34,7 @@ six==1.11.0 | |||
| sqlalchemy==1.2.2 | |||
| sqlalchemy-utils==0.32.21 | |||
| sqlparse==0.2.4 | |||
| tableschema==1.1.0 | |||
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You’ll have to add this to setup.py as well.
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Codecov Report
@@ Coverage Diff @@
## master #5267 +/- ##
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- Coverage 61.31% 61.3% -0.02%
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Files 368 368
Lines 23449 23453 +4
Branches 2713 2713
=========================================
Hits 14378 14378
- Misses 9059 9063 +4
Partials 12 12
Continue to review full report at Codecov.
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setup.py
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| @@ -90,6 +90,7 @@ def get_git_sha(): | |||
| 'sqlalchemy', | |||
| 'sqlalchemy-utils', | |||
| 'sqlparse', | |||
| 'tableschema==1.1.0', | |||
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Don't pin in setup.py unless it's strictly required.
superset/config.py
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| @@ -314,6 +314,14 @@ class CeleryConfig(object): | |||
| # contain all the external tables | |||
| CSV_TO_HIVE_UPLOAD_DIRECTORY = 'EXTERNAL_HIVE_TABLES/' | |||
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| # This contains the mappings from the tableschema types to HIVE types | |||
| TABLESCHEMA_TO_HIVE_TYPES = { | |||
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I think this probably belongs in db_engine_spec. I agree this isn't cut-and-dry as different versions of Hive support different types.
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superset/db_engine_specs.py
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| bucket_path = app.config['CSV_TO_HIVE_UPLOAD_S3_BUCKET'] | ||
| def convert_to_hive_type(col_type): | ||
| """maps tableschema's types to hive types""" | ||
| TABLESCHEMA_TO_HIVE_TYPES = { |
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Sorry given this no longer resides in the config this should be a lower case variable name.
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Hm |
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(cherry picked from commit b0eee12)
(cherry picked from commit b0eee12)
mistercrunch
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Previously all column types were string. This PR leverages the tableschema package to get a more precise column type and uses it in the table creation.
@john-bodley @mistercrunch