不要使用CREATE TABLE ... AS ...,而是先在 Hive 建表,然后使用INSERT OVERWRITE INTO ...即可。
We would like to create a Hive table in the ussign pyspark dataframe cluster. We have the script below, which has run well several times in the past on the same cluster. After some configuration changes in the cluster, the same script is showing the error below.We were ...
I'm writing some pyspark code where I have a dataframe that I want to write to a hive table. I'm using a command like this. dataframe.write.mode("overwrite").saveAsTable(“bh_test”) Everything I've read online indicates that this should, by default, create a managed table. However...
Creating a delta table from a dataframe One of the easiest ways to create a delta table in Spark is to save a dataframe in thedeltaformat. For example, the following PySpark code loads a dataframe with data from an existing file, and then saves that dataframe as a delta table: ...
saveAsTable方法用于将 PySpark 的 DataFrame 保存为表格,可以使用不同的数据格式,如 Parquet、CSV、JSON 等。这种方法将数据保存在存储系统中,可以在之后通过表名或者路径进行查询和读取。下面是一个使用saveAsTable方法保存 DataFrame 的示例代码: # 创建 DataFramedf=spark.createDataFrame([(1,"Alice"),(2,"Bob...
在我的pyspark工作中,我试图使用like子句创建一个临时表,如下所示。 CREATE EXTERNAL TABLE IF NOT EXISTS stg.new_table_name LIKE stg.exiting_table_name LOCATION s3://s3-bucket/warehouse/stg/existing_table_name 我的工作失败如下-不匹配的输入'like'应为(第1行,位置56)\n\n==sql==\n如果不存在,则...
at org.apache.spark.sql.execution.command.DataWritingCommandExec.sideEffectResult(commands.scala:102) 最终找到问题原因:表已经删除,但是hdfs目录仍然存在,所以导致以上的报错。 解决方法:spark增加以下配置参数 .set("spark.sql.legacy.allowCreatingManagedTableUsingNonemptyLocation","true")...
Finally, PySpark DataFrame also can be created by reading data from RDBMS Databases and NoSQL databases. In this article, you will learn to create DataFrame by some of these methods with PySpark examples. Table of Contents Create DataFrame from RDD ...
dynamodb2.table.Table方法向boto.dynamodb2.table.Table发送一个put项请求,然后对同一项发出一个get项请求时,属性值返回为': Decimal('1'), 'id': 'sjx7MQrKNqD7uQ6Xc2UepQkBY7xbJxvcGViP'} 尽管boto 浏览0提问于2015-08-20得票数 1 回答已采纳...
DIRECT_JOB allows PySpark jobs to be run directly on this table. MULTIPLE allows both SQL queries and PySpark jobs to be run directly on this table. Type: String Valid Values: DIRECT_QUERY | DIRECT_JOB | MULTIPLE Required: Yes description A description for the configured table. Type: Str...