Dynamically create Hive external table with Avro schema on Parquet Data
Date : March 29 2020, 07:55 AM
I hope this helps . 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. , 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';
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Create hive external table from partitioned parquet files in Azure HDInsights
Date : March 29 2020, 07:55 AM
wish of those help After you create the partitioned table, run the following in order to add the directories as partitions MSCK REPAIR TABLE table_name;
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Is it possible to create an external hive table on a parquet file with a different schema?
Date : March 29 2020, 07:55 AM
wish help you to fix your issue you can do it with the next steps: 1.Create a temporary table and store the file like it is (with map column type);
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Is it possible to compress Parquet file which contain Json data in hive external table?
Date : March 29 2020, 07:55 AM
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Loading Parquet File into a Hive Table stored as Parquet fail(values are null)
Date : September 30 2020, 10:00 PM
wish help you to fix your issue As you are writing parquet file to /hadoop/db1/managed_table55/test.parquet this location Try creating table in the same location and read the data from hive table. Create Hive Table: hive> CREATE external table if not EXISTS db1.managed_table55 (dummy string)
stored as parquet
location '/hadoop/db1/managed_table55/test.parquet';
df=spark.read.csv("/user/use_this.csv", header='true')
df.write.save('/hadoop/db1/managed_table55/test.parquet', format="parquet")
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