How do I load an Avro file into a hive table?

hive> LOAD DATA INPATH ‘hdfs://master:8020/path/to/avro_file’ OVERWRITE INTO TABLE avro_tbl; You can print the hive table data using: hive> SELECT * FROM avro_tbl; You will find that once the data gets loaded in the hive table, the Avro file no longer exists in the original location.

Does Hive support Avro file format?

hive File formats in HIVE AVRO Avro files are been supported in Hive 0.14. 0 and later. Avro is a remote procedure call and data serialization framework developed within Apache’s Hadoop project. It uses JSON for defining data types and protocols, and serializes data in a compact binary format.

How do I create an AVSC file from Avro?

1. CREATE TABLE doctors ROW FORMAT.
2. SERDE ‘org.apache.hadoop.hive.serde2.avro.AvroSerDe’
3. STORED AS.
4. INPUTFORMAT ‘org.apache.hadoop.hive.ql.io.avro.AvroContainerInputFormat’
5. OUTPUTFORMAT ‘org.apache.hadoop.hive.ql.io.avro.AvroContainerOutputFormat’ TBLPROPERTIES (‘schema.avro.url’={‘.avsc’}

What is parquet file in Hive?

Apache Parquet is a popular column storage file format used by Hadoop systems, such as Pig, Spark, and Hive. The file format is language independent and has a binary representation. Parquet is used to efficiently store large data sets and has the extension .

How do I create Avro schema from Avro file?

AVRO – Serialization By Generating Class

1. Write an Avro schema.
2. Compile the schema using Avro utility. You get the Java code corresponding to that schema.
3. Populate the schema with the data.
4. Serialize it using Avro library.

How do I create Avro data?

General Working of Avro

1. Step 1 − Create schemas.
2. Step 2 − Read the schemas into your program.
3. Step 3 − Serialize the data using the serialization API provided for Avro, which is found in the package org.
4. Step 4 − Deserialize the data using deserialization API provided for Avro, which is found in the package org.

Is Avro a file format?

AVRO File Format Avro format is a row-based storage format for Hadoop, which is widely used as a serialization platform. Avro format stores the schema in JSON format, making it easy to read and interpret by any program.