stored as parquet
时间: 2024-02-29 14:42:01 浏览: 16
Parquet is a columnar storage file format that is designed to be highly efficient for processing large amounts of data. It is commonly used in big data processing frameworks such as Apache Hadoop and Apache Spark. Parquet files are highly compressed and can be read and written quickly, making them ideal for storing large data sets that need to be analyzed quickly. They can also be easily converted to other file formats such as CSV or JSON.
相关问题
stored as parquet是什么意思
"Stored as Parquet" 意味着数据被存储在一种叫做 Parquet 的列式存储格式中。Parquet 是一种跨平台、开源的数据存储格式,它使用压缩和列式存储来提高数据处理的效率。与传统的行式存储格式相比,Parquet 具有更好的压缩率和更快的查询速度,尤其适用于大规模数据分析和处理。在使用 Parquet 存储数据时,可以使用不同的编程语言,如Java、Python和Scala等来读写数据。
create table if not exists MODEL_BACK.DCV_TB_LXY_ADXY_0(`ad_s rv_id` DOUBLE,`ad_acc_nbr` STRING,`acc_nbr2` STRING,`end_date` STRING,`fee_xy` STRING,`updatetime` STRING) partitioned by (updatetime string) stored as parquet impala的这个建表语句报Duplicate column name: updatetime这个错误,这是什么原因
Impala的建表语句中,分区字段是表数据的逻辑划分,不能和表的列名重复。在你的建表语句中,updatetime既是列名,又是分区字段,导致了该错误的发生。解决方法是将分区字段的名称修改,例如将分区字段改为partition_date,建表语句可以修改为:
```
create table if not exists MODEL_BACK.DCV_TB_LXY_ADXY_0(
`ad_s rv_id` DOUBLE,
`ad_acc_nbr` STRING,
`acc_nbr2` STRING,
`end_date` STRING,
`fee_xy` STRING,
`updatetime` STRING
) partitioned by (partition_date string) stored as parquet;
```
需要注意的是,修改分区字段名称后,查询该表时需要使用新的分区字段名进行查询。