Miklos Gergely created HIVE-20536: ------------------------------------- Summary: Add Surrogate Keys function to Hive Key: HIVE-20536 URL: https://issues.apache.org/jira/browse/HIVE-20536 Project: Hive Issue Type: Task Components: Hive Reporter: Miklos Gergely Assignee: Miklos Gergely
Surrogate keys is an ability to generate and use unique integers for each row in a table. If we have that ability then in conjunction with default clause we can get surrogate keys functionality. Consider following ddl: create table t1 (a string, b bigint default unique_long()); We already have default clause wherein you can specify a function to provide values. So, what we need is udf which can generate unique longs for each row across queries for a table. Idea is to use write_id . This is a column in metastore table TXN_COMPONENTS whose value is determined at compile time to be used during query execution. Each query execution generates a new write_id. So, we can seed udf with this value during compilation. Then we statically allocate ranges for each task from which it can draw next long. So, lets say 64-bit write_id we divy up such that last 24 bits belong to original usage of it that is txns. Next 16 bits are used for task_attempts and last 24 bits to generate new long for each row. This implies we can allow 17M txns, 65K tasks and 17M rows in a task. If you hit any of those limits we can fail the query. Implementation wise: serialize write_id in initialize() of udf. Then during execute() we find out what task_attempt current task is and use it along with write_id() to get starting long and give a new value on each invocation of execute(). Here we are assuming write_id can be determined at compile time, which should be the case but we need to figure out how to get handle to it. -- This message was sent by Atlassian JIRA (v7.6.3#76005)