Difference between Hive internal tables and external tables?
Hive tables can be created as EXTERNAL or INTERNAL. This is a choice that affects how data is loaded, controlled, and managed.
Use EXTERNAL tables when:
- The data is also used outside of Hive. For example, the data files are read and processed by an existing program that doesn't lock the files.
- Data needs to remain in the underlying location even after a DROP TABLE. This can apply if you are pointing multiple schemas (tables or views) at a single data set or if you are iterating through various possible schemas.
- You want to use a custom location such as ASV.
- Hive should not own data and control settings, dirs, etc., you have another program or process that will do those things.
- You are not creating table based on existing table (AS SELECT).
Use INTERNAL tables when:
The data is temporary.
You want Hive to completely manage the lifecycle of the table and data.
Hive has a relational database on the master node it uses to keep track of state.
For instance, when you CREATE TABLE FOO(foo string) LOCATION 'hdfs://tmp/';, this table schema is stored in the database.
If you have a partitioned table, the partitions are stored in the database(this allows hive to use lists of partitions without going to the file-system and finding them, etc). These sorts of things are the 'metadata'.
When you drop an internal table, it drops the data, and it also drops the metadata.
When you drop an external table, it only drops the meta data. That means hive is ignorant of that data now. It does not touch the data itself.
An internal table data is stored in the warehouse folder, whereas an external table data is stored at the location you mentioned in table creation.
So when you delete an internal table, it deletes the schema as well as the data under the warehouse folder, but for an external table it's only the schema that you will loose.
So when you want an external table back you again after deleting it, can create a table with the same schema again and point it to the original data location. Hope it is clear now.
To answer you Question :
For External Tables, Hive stores the data in the LOCATION specified during creation of the table(generally not in warehouse directory). If the external table is dropped, then the table metadata is deleted but not the data.
For Internal tables, Hive stores data into its warehouse directory. If the table is dropped then both the table metadata and the data will be deleted.
For your reference,
Difference between Internal & External tables :
For External Tables -
External table stores files on the HDFS server but tables are not linked to the source file completely.
If you delete an external table the file still remains on the HDFS server.
As an example if you create an external table called “table_test” in HIVE using HIVE-QL and link the table to file “file”, then deleting “table_test” from HIVE will not delete “file” from HDFS.
External table files are accessible to anyone who has access to HDFS file structure and therefore security needs to be managed at the HDFS file/folder level.
Meta data is maintained on master node, and deleting an external table from HIVE only deletes the metadata not the data/file.
For Internal Tables-
- Stored in a directory based on settings in
hive.metastore.warehouse.dir, by default internal tables are stored in the following directory “/user/hive/warehouse” you can change it by updating the location in the config file .- Deleting the table deletes the metadata and data from master-node and HDFS respectively.
- Internal table file security is controlled solely via HIVE. Security needs to be managed within HIVE, probably at the schema level (depends on organization).
Hive may have internal or external tables, this is a choice that affects how data is loaded, controlled, and managed.
Use EXTERNAL tables when:
- The data is also used outside of Hive. For example, the data files are read and processed by an existing program that doesn’t lock the files.
- Data needs to remain in the underlying location even after a DROP TABLE. This can apply if you are pointing multiple schema (tables or views) at a single data set or if you are iterating through various possible schema.
- Hive should not own data and control settings, directories, etc., you may have another program or process that will do those things.
- You are not creating table based on existing table (AS SELECT).
Use INTERNAL tables when:
- The data is temporary.
- You want Hive to completely manage the life-cycle of the table and data.
Source :
HDInsight: Hive Internal and External Tables Intro
Internal & external tables in Hadoop- HIVE