I have to import > 400 million rows from a MySQL table(having a composite primary key) into a PARTITIONED Hive table Hive via Sqoop. The table has data for two years with a column departure date ranging from 20120605 to 20140605 and thousands of records for one day. I need to partition the data based on the departure date.
The versions :
Apache Hadoop - 1.0.4
Apache Hive - 0.9.0
Apache Sqoop - sqoop-1.4.2.bin__hadoop-1.0.0
As per my knowledge, there are 3 approaches:
- MySQL -> Non-partitioned Hive table -> INSERT from Non-partitioned Hive table into Partitioned Hive table
- MySQL -> Partitioned Hive table
MySQL -> Non-partitioned Hive table -> ALTER Non-partitioned Hive table to add PARTITION
is the current painful one that I’m following
I read that the support for this is added in later(?) versions of Hive and Sqoop but was unable to find an example
The syntax dictates to specify partitions as key value pairs – not feasible in case of millions of records where one cannot think of all the partition key-value pairs 3.
Can anyone provide inputs for approaches 2 and 3?