Introduction à Redshift
Jason Myers
Principal Architect
Composants d'une base de données

Redshift Spectrum

| Format de fichier | Colonnaire | Lecture parallèle |
|---|---|---|
| Parquet | Oui | Oui |
| ORC | Oui | Oui |
| TextFile | Non | Non |
| OpenCSV | Non | Oui |
| JSON | Non | Non |
CREATE TABLE spectrumdb.IDAHO_SITE_ID ( 'pk_siteid' INTEGER PRIMARY KEY, -- Cutting the rest of columns for space )-- CSV rows are comma delimited ROW FORMAT DELIMITED-- CSV fields are terminated by a comma FIELDS TERMINATED BY ','-- CSVs are a type of text file STORED AS TEXTFILE-- This is where the data is in AWS S3 LOCATION 's3://spectrum-id/idaho_sites/'-- This file has headers that we want to skip TABLE PROPERTIES ('skip.header.line.count'='1');
EXPLAIN sera différentDISTKEY ou SORTKEYs$path : affiche le chemin de stockage du fichier pour la ligne$size : affiche la taille du fichier pour la ligneSELECT "$path",
"$size",
pk_siteid
FROM spectrumdb.idaho_site_id;
$path | $size | pk_siteid
================================|=======|==========
's3://spectrum-id/idaho_sites/' | 1616 | 1
's3://spectrum-id/idaho_sites/' | 1616 | 2
's3://spectrum-id/idaho_sites/' | 1616 | 3
Formats courants :
Lecture seulement
internal ou externalSELECT schema_name,
schema_type
FROM SVV_ALL_SCHEMAS
ORDER BY SCHEMA_NAME;
schema_name | schema_type
======================|=============
public_intro_redshift | internal
spectrumdb | external
TABLE ou EXTERNAL TABLESELECT table_name,
table_type
FROM SVV_ALL_TABLES
WHERE schema_name = 'public_intro_redshift';
table_name | table_type
==========================|================
coffee_county_weather | TABLE
idaho_monitoring_location | TABLE
idaho_samples | TABLE
ecommerce_sales | EXTERNAL_TABLE
Introduction à Redshift