Hive error cannot truncate non managed table

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Hive error cannot truncate non managed table

Managed and External tables are the two different types of tables in hive used to improve how data is loaded, managed and controlled.

In this blog, we will be discussing the types of tables in Hive and the difference between them and how to create those tables and when to use those tables for a particular dataset.

Managed table is also called as Internal table.

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This is the default table in Hive. When we create a table in Hive without specifying it as external, by default we will get a Managed table. If we create a table as a managed table, the table will be created in a specific location in HDFS. If we delete a Managed table, both the table data and meta data for that table will be deleted from the HDFS.

Let us create a managed table with the below command. We have successfully created the table and to check the details of the table type the below command:. We will try to load one sample dataset which we have created into the table by using the below command:. If we check in the hdfs location we can get the contents of the table. Check the contents of the table in HDFS by using the below command:. In the above image we can see the contents of the table which is in the hdfs location.

Now let us delete the above created table by using the command. Now let us try to check the contents of the table in HDFS using the below command:.

In the above image, you can see that it is displaying like No such file or directory because both the table and its contents are deleted from the HDFS location. External table is created for external use as when the data is used outside Hive.

External table only deletes the schema of the table. Let us create an external table by using the below command:. We have now successfully created the external table. Let us check the details regarding the table using the below command:.

Now let us load some data into the table using the below command:. We have successfully loaded data into the Hive table. Let us check the contents in HDFS by using the below command:. Now let us check the HDFS location of the table using the below command:.

You can see that the contents of the table are still present in the HDFS location.

hive error cannot truncate non managed table

If we create an External table, after deleting the table only the meta data related to table is deleted but not the contents of the table. But if your data is in another location, if you delete the table the data will also get deleted. So in that case you need to mention the external location of the data while creating the table itself as shown below.

Here we have specified the location of the data in the table creation itself.

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But if you load the data explicitly using the load statement into the external table, if you drop the table now the data will also get deleted.Most of the keywords are reserved through HIVE in order to reduce the ambiguity in grammar version 1. There are two ways if the user still would like to use those reserved keywords as identifiers: 1 use quoted identifiers, 2 set hive.

It only changes the default parent-directory where new tables will be added for this database. This behaviour is analogous to how changing a table-directory does not move existing partitions to a different location. To revert to the default database, use the keyword " default " instead of a database name.

An error is thrown if a table or view with the same name already exists. See Alter Table below for more information about table comments, table properties, and SerDe properties.

By default Hive creates managed tables, where files, metadata and statistics are managed by internal Hive processes. For details on the differences between managed and external table see Managed vs.

External Tables. Hive supports built-in and custom-developed file formats. See CompressedStorage for details on compressed table storage. The following are some of the formats built-in to Hive:. You can create tables with a custom SerDe or using a native SerDe. For more information on SerDes see:. You must specify a list of columns for tables that use a native SerDe. Refer to the Types part of the User Guide for the allowable column types. A list of columns for tables that use a custom SerDe may be specified but Hive will query the SerDe to determine the actual list of columns for this table.

To use the SerDe, specify the fully qualified class name org. A table can have one or more partition columns and a separate data directory is created for each distinct value combination in the partition columns.

This can improve performance on certain kinds of queries. If, when creating a partitioned table, you get this error: "FAILED: Error in semantic analysis: Column repeated in partitioning columns," it means you are trying to include the partitioned column in the data of the table itself.

You probably really do have the column defined. However, the partition you create makes a pseudocolumn on which you can query, so you must rename your table column to something else that users should not query on!

Now you want to partition on date.By using our site, you acknowledge that you have read and understand our Cookie PolicyPrivacy Policyand our Terms of Service. The dark mode beta is finally here. Change your preferences any time. Stack Overflow for Teams is a private, secure spot for you and your coworkers to find and share information. I'm planning to truncate the hive external table which has one partition.

So, I have used the following command to truncate the table :. But, it is throwing me an error stating : Cannot truncate non-managed table abc. Then truncate :. Learn more.

hive error cannot truncate non managed table

How to truncate a partitioned external table in hive? Ask Question. Asked 1 year, 5 months ago. Active 6 months ago. Viewed 2k times. Can anyone please suggest me out regarding the same Active Oldest Votes. Look at the docs: cwiki.

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The Overflow How many jobs can be done at home? Socializing with co-workers while social distancing. Featured on Meta.In this article, we are going to discuss the two different types of Hive Table that are Internal table Managed table and External table. The article then enlists the differences between Hive Internal tables and External Tables.

We will also see different cases where we can use these Hive tables. Keeping you updated with latest technology trends, Join DataFlair on Telegram. The Internal table is also known as the managed table. It is the default table in Hive.

When the user creates a table in Hive without specifying it as external, then by default, an internal table gets created in a specific location in HDFS. We can override the default location by the location property during table creation. If we drop the managed table or partition, the table data and the metadata associated with that table will be deleted from the HDFS. External tables are stored outside the warehouse directory. Whenever we drop the external table, then only the metadata associated with the table will get deleted, the table data remains untouched by Hive.

Let us now see the difference between both Hive tables. The major differences in the internal and external tables in Hive are:. The Load semantics varies in both the tables.

Let us see the difference in load semantics between the internal table and the external table. Now, loading data into the internal table created above. On describing the table, we see that the table data is moved to the Hive warehouse directory.

Hive does not even check whether the external location at the time it is defined exists or not. On loading the data into the external table, the Hive does not move table data to its warehouse directory. Now, loading data to the external table created above. On browsing the table, we can see that the Hive table data is not moved to the Hive warehouse directory.

It is stored in the location specified while creating a table. Like load semantics, drop semantics also varies in both the tables. Let us see the difference in drop semantics between the internal table and the external table. Dropping the internal table will delete the table data, as well as the metadata associated with the table.Often used to empty tables that are used during ETL cycles, after the data has been copied to another table for the next stage of processing.

This statement removes all the data and associated data files in the table. It can remove data files from internal tables, external tables, partitioned tables, and tables mapped to HBase or the Amazon Simple Storage Service S3. The data removal applies to the entire table, including all partitions of a partitioned table.

If the table does exist, it is truncated; if it does not exist, the statement has no effect. This capability is useful in standardized setup scripts that are might be run both before and after some of the tables exist. This clause is available in CDH 5. The user ID that the impalad daemon runs under, typically the impala user, must have write permission for all the files and directories that make up the table.

hive error cannot truncate non managed table

The following example shows a table containing some data and with table and column statistics. View All Categories. To read this documentation, you must turn JavaScript on.

Cancellation: Cannot be cancelled. HDFS permissions: The user ID that the impalad daemon runs under, typically the impala user, must have write permission for all the files and directories that make up the table.

Examples: The following example shows a table containing some data and with table and column statistics.When you create a table in Hive, by default Hive will manage the data, which means that Hive moves the data into its warehouse directory. Alternatively, you may create an external table, which tells Hive to refer to the data that is at an existing location outside the warehouse directory.

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How to use Hive TRUNCATE ?

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Cannot truncate non-managed table t306

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hive error cannot truncate non managed table

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