However, you should closely examine the process which allowed the duplicates to happen in order to prevent a recurrence. For enabling locking in Hive, you must first enable the LockManager by setting the two params in hive-site.xml : After restarting Hive, here is how to use that : When trying to access the table during this time : then the previous request will be executed (by default the request is executed x times every 60 seconds (hive.lock.sleep.between.retries)) This will look through the completed_txn_components table and look for partitions or tables that may be ready for compaction. Using the default metastore, which is embedded in the HiveServer process and installed by Ambari, you cannot manage a partition automatically. A more detailed look in to the issue revealed that we had upgraded HIVE and the new version, which now allowed ACID, would lock the database by default even if ACID support was turned off. Currently only "Share" and "Exclusive" locks are introduced. First, connect to the MySQL Server using the root account: .hide-if-no-js { If you have a better way of solving this issue please tweet to me @yashranadive, Have you ever run in to a situation where you count the number of rows for a table in a database, then dump it to CSV and then load it to HIVE only to find that number has changed? Hive transactions, enabled by default, disables Zookeeper locking. For example for a table foo: (command in HIVE) You can change the cluster from the Databases menu, create table UI, or view table UI. notice.style.display = "block"; Follow the below steps to kill the session and forcibly unlock the table. Here’s a script if you decide to go that route. These tables will have subdirectories for different versions (bases) and addendum of the data. With Regards DillibabuP If we will try select the recodes without NOLOCK, SELECT * FROM tblStudent. }, Well, the lock is stored in zookeeper. The syntax is as follows: DROP TABLE [IF EXISTS] table_name; The following query drops a table named employee: hive> DROP TABLE IF EXISTS employee; On successful execution of the query, you get to see the following response: OK Time taken: 5.3 seconds hive> JDBC Program. Please reload CAPTCHA. http://mail-archives.apache.org/mod_mbox/hive-user/201408.mbox/%3C0eba01cfc035$3501e4f0$9f05aed0$@com%3E That was not an option for us as we were doing a full replace of the table and we want to make sure no one is reading from the table when we are replacing its contents. Below tips can help you hands on this feature. Also, look through txns and txn_components tables for aborted transactions that we should add to the list. Info in HIVE wiki : Hive Transactions. So basically, during a SELECT or INSERT was running in HIVE, HIVE created a zookeeper SHARED lock on the entire database that contained those tables. Tez is enabled by default. The following JDBC program drops the employee table. Locks (hive.lock.numretries) are tried 100 times, unlocks (hive.unlock.numretries) 10 times. It is available since July 2018 as part of HDP3 (Hortonworks Data Platform version 3).. More Information. Removing Database Level Locks in HIVE. But imagine your table contains many columns (i.e : more than 100 columns) and you need to only exclude a few columns in the select statement. hive - 2.1.1-cdh6.3.1 command : insert overwrite table table-name select * from table-name; ---insert overwrite on same table & storage as s3 bucket . Hive offers a SQL-like query language called HiveQL, which is used to analyze large, structured datasets. })(120000);

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