DM-13876: implement ParquetStorage butler storage mechanism #89
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Change the storage type from FitsStorage to ParquetStorage, which this ticket implements, and change the python datatype to the new ParquetTable datatype, which is for now defined within qa_explorer.
ktlim
reviewed
Apr 19, 2018
| @@ -806,14 +806,15 @@ deepCoadd_obj: #consolidated multi-band object tables from coadd | |||
| description: > | |||
| Consolidated coadd multi-band object table, a merge of | |||
| deepCoadd_meas, deepCoadd_forced_src and deepCoadd_ref tables for multiple bands. | |||
| This is a pandas DataFrame with a multi-level column index; access a particular | |||
| subcatalog as df['meas']['HSC-R'], e.g. | |||
| This is stored as a DataFrame with a multi-level column index; access a particular | |||
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Not really; the comment here regards the fact that it is actually a multilevel pandas DataFrame that is stored in the parquet file.
policy/datasets.yaml
Outdated
| storage: FitsCatalogStorage | ||
| python: lsst.qa.explorer.table.ParquetTable | ||
| storage: ParquetStorage | ||
| python: lsst.qa.explorer.parquetTable.MultilevelParquetTable # pandas.DataFrame to write |
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This changes the storage type and dataset type of deepCoadd_obj to use the new implementation of ParquetStorage and ParquetTable.