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목록2025/03 (9)
지구정복

Spark3로 managed table create하는데 아래와 같은 에러 발생 spark-sql> CREATE TABLE spark_catalog.db1_test.example_hive1 ( > id INT, > name STRING, > age INT > ) > STORED AS parquet; ErrorCaused by: org.apache.hadoop.hive.ql.metadata.HiveException: MetaException(message:Table db1_test.example_hive1 failed strict managed table checks due to the following reas..
airflow db upgrade error발생하면 airflow db upgrade 진행 만약 위 명령어 에러나면 아래 airflow python package 설치해준다./usr/airflow/.pyenv/versions/venv/bin/pip install sqlalchemy==1.4.49/usr/airflow/.pyenv/versions/venv/bin/pip install apache-airflow-providers-common-sql 그리고 다시 airflow db upgrade 진행
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..