Otomatisasi Data Pipeline di Snowflake
Emily Melhuish
Technical Curriculum Developer, Snowflake



Tentang Harbr

Stage = lokasi penyimpanan sementara

Internal Stage
External Stage
Directory Table
CREATE STAGE harbr_stage
DIRECTORY = (ENABLE = TRUE)
Enkripsi Internal Stage
ENCRYPTION = (TYPE = SNOWFLAKE_FULL)
ENCRYPTION = (TYPE = SNOWFLAKE_SSE)
Enkripsi External Stage
ENCRYPTION =
([ TYPE = 'AWS_CSE' ] MASTER_KEY = '')
ENCRYPTION =
([ TYPE = 'AWS_SSE_S3' ])
...
Format semi-terstruktur: JSON, Parquet, Avro, ORC, dan XML.
VARIANTPerbarui objek format sekali
SQL
CREATE FILE FORMAT harbr_csv_format
TYPE = 'CSV'
FIELD_DELIMITER = ','
SKIP_HEADER = 1;
Muat dari named stage dengan named file format
COPY INTO logistics.shipments
FROM @harbr_internal_stage/shipments/
FILE_FORMAT = (FORMAT_NAME = 'harbr_csv_format')
| Opsi ON_ERROR | Perilaku |
|---|---|
ABORT_STATEMENT |
Gagalkan seluruh muatan pada error pertama (default) |
CONTINUE |
Lewati baris buruk, muat sisanya |
SKIP_FILE |
Lewati seluruh file jika berisi error |
SKIP_FILE_<num> |
Lewati file hanya jika error melebihi jumlah tertentu |
SKIP_FILE_<num>% |
Lewati file hanya jika error melebihi ambang % tertentu |
Validasi tanpa memuat = dry run
COPY INTO logistics.shipments
FROM @harbr_internal_stage/shipments/
FILE_FORMAT = (FORMAT_NAME = 'harbr_csv_format')
VALIDATION_MODE = RETURN_ERRORS;
Periksa riwayat pemuatan
SELECT * FROM TABLE(INFORMATION_SCHEMA.COPY_HISTORY(
TABLE_NAME => 'shipments',
START_TIME => DATEADD('hour', -24,
CURRENT_TIMESTAMP())));
Otomatisasi Data Pipeline di Snowflake