drop partition in hive external table

All of the answers so far are half right. Below script drops all partitions from sales table with year greater than 2019. ALTER TABLE some_table DROP IF EXISTS PARTITION(year = 2012); This command will remove the data and metadata for this partition. I want to know if there exists a way in Hive by which I can drop partitions for a range of dates (say from 'date1' to 'date2'). If you also want to drop data along with partition fro external tables then you have to do it manually. I have tried the following (SQL type) queries, but they don't seem to be syntactically correct: cc @aakulov Hive doe not drop that data. server_date=2016-10-13. hive> ALTER TABLE sales drop if exists partition (year = 2020, quarter = 1), partition (year = 2020, quarter = 2); Here is how we dynamically pick partitions to drop. The syntax is as below. I had 3 partition and then issued hive drop partition command and it got succeeded. You use an external table, which is a table that Hive does not manage, to import data from a file on a file system, into Hive. Although I agree with pensz, a slight alteration, you need not drop the table. Just performing an ALTER TABLE DROP PARTITION statement does remove the partition information from the metastore only. Hive SHOW PARTITIONS list all the partitions of a table in alphabetical order. server_date=2016-10-11. Dropping Hive Partition is pretty straight forward just remember that when you drop partition of an internal table then the data is deleted but when you drop from an external table the data remains as it is in the external location. But what about data when you have an external hive table? Just replace the external hdfs file with whichever new file you want (the structure of the replaced file should be the same) and when you do a select * of the previous table, you will notice that it … In other words, Hive completely manages the lifecycle of the table (metadata & data) similar to tables in RDBMS. Hive metastore stores only the schema metadata of the external table. ALTER TABLE table_name DROP [IF EXISTS] PARTITION partition_spec; hdfs dfs -rm -r I hope this gives some insights here. Drop Partition. This will delete the partition from the table. Difference between Internal Managed Table and External Table; How to Update and Drop Table Partitions; Hive SHOW PARTITIONS Command. alter table tbl_nm drop if exists partition (col = ‘value’ , …..) A2A. ALTER TABLE ADD PARTITION in Hive. Hive keeps adding new clauses to the SHOW PARTITIONS, based on the version you are using the syntax slightly changes. Hive has a Internal and External tables. Using partitions, we can query the portion of the data. I have a Hive (ver 0.11.0) table partitioned by column date, of type string. In contrast to the Hive managed table, an external table keeps its data outside the Hive metastore. Alter table statement is used to change the table structure or properties of an existing table in Hive. For Internal tables, Hive by default stores the files at the data warehouse location which is located at /user/hive/warehouse. When you drop an internal table, it drops the data and also drops the metadata of the table. Drop or Delete Hive Partition. ALTER TABLE table_name DROP [IF EXISTS] PARTITION partition_spec PURGE; But for External tables have a two-step process to alter table drop partition + removing file. You can use ALTER TABLE with DROP PARTITION option to drop a partition for a table. hive> show partitions spark_2_test; OK. server_date=2016-10-10. Hive does not manage, or restrict access, to the actual external data. Partition exists and drop partition command works fine in Hive shell. It just removes these details from table metadata. hive> ALTER TABLE spark_2_test DROP PARTITION (server_date='2016-10-13'); Syntax: Use DROP TABLE to drop a table, like any other RDBMS, dropping a table in hive drops the table description from Hive Metastore and it’s data from the Hive warehouse store(For internal tables). In addition, we can use the Alter table add partition command to add the new partitions for a table.

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