일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 |
- Data Engineering
- BigData
- 여행
- bigdata engineer
- dfs
- 자바
- 백준
- 개발
- 알고리즘
- 파이썬
- 삼성역맛집
- Iceberg
- 용인맛집
- 양평
- Trino
- java
- hadoop
- 코엑스
- 코딩테스트
- 코딩
- 영어
- 맛집
- 코엑스맛집
- apache iceberg
- HIVE
- BFS
- Data Engineer
- 프로그래머스
- 코테
- bigdata engineering
- Today
- Total
목록devlopment (2)
지구정복
CHAPTER 6 Apache SparkConfigurationConfiguring Apache Iceberg and SparkConfiguring via the CLIAs a first step, you’ll need to specify the required packages to be installed and used with the Spark session. To do so, Spark provides the --packages option, which allows Spark to easily download the specified Maven-based packages and its dependencies to add them to the classpath of your application. ..
CHAPTER 5 Iceberg Catalogs Requirements of an Iceberg CatalogIceberg provides a catalog interface that requires the implementation of a set of functions, primarily ones to list existing tables, create tables, drop tables, check whether a table exists, and rename tables. Hive Metastore, AWS Glue, and a filesystem catalog (Hadoop). with a filesystem as the catalog, there’s a file called version-hi..