在Parquet数据上动态创建带有Avro架构的Hive外部表

问题描述

我试图动态地（没有在Hive DDL中列出列名和类型）在地板数据文件上创建一个Hive外部表。我有底层镶木地板文件的Avro模式。

我的尝试是在DDL之下使用：

  CREATE EXTERNAL TABLE parquet_test 
 ROW FORMAT SERDE'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
存储为PARQUET 
 LOCATION'hdfs：// myParquetFilesPath'
 TBLPROPERTIES（'avro.schema.url'='http：//myHost/myAvroSchema.avsc'）; 
  

使用正确的模式成功创建了我的Hive表，但是当我尝试读取数据时：

  SELECT * FROM parquet_test; 
  

我得到以下错误：

  java.io.IOException：org.apache.hadoop.hive.serde2.avro.AvroSerdeException：期待一个AvroGenericRecordWritable 
  

有没有办法成功创建和读取Parquet文件，而不提DDL中的列名称和类型列表？

解决方法

下面的查询工作：

$ $ p $ CREATE TABLE avro_test ROW格式SERDE'org.apache.hadoop.hive .serde2.avro.AvroSerDe'STORED AS AVRO TBLPROPERTIES（'avro.schema.url'='myHost / myAvroSchema.avsc'）;

CREATE EXTERNAL TABLE parquet_test LIKE avro_test STORED AS PARQUET LOCATION'hdfs：// myParquetFilesPath';


I'm trying to dynamically (without listing column names and types in Hive DDL) create a Hive external table on parquet data files. I have the Avro schema of underlying parquet file.

My try is to use below DDL:

CREATE EXTERNAL TABLE parquet_test
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe'
STORED AS PARQUET
LOCATION 'hdfs://myParquetFilesPath'
TBLPROPERTIES ('avro.schema.url'='http://myHost/myAvroSchema.avsc');

My Hive table is successfully created with the right schema, but when I try to read the data :

SELECT * FROM parquet_test;

I get the following error :

java.io.IOException: org.apache.hadoop.hive.serde2.avro.AvroSerdeException: Expecting a AvroGenericRecordWritable

Is there a way to successfully create and read Parquet files, without mentioning columns name and types list in DDL?

解决方案

Below query works:

CREATE TABLE avro_test ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.avro.AvroSerDe' STORED AS AVRO TBLPROPERTIES ('avro.schema.url'='myHost/myAvroSchema.avsc');

CREATE EXTERNAL TABLE parquet_test LIKE avro_test STORED AS PARQUET LOCATION 'hdfs://myParquetFilesPath';

这篇关于在Parquet数据上动态创建带有Avro架构的Hive外部表的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！