if you have a 250GB file, then how did it become 2.5TB ? if you can not write a mapreduce job to process to write your data into specific partitions, then the other way around would be load the entire data into a temporary table and then load data into partitioned tabled and then drop the temporary table.
approach would be 1) Create a temporary table CREATE TABLE temp_employees (name STRING, salary FLOAT, subordinates ARRAY<STRING>, deductions MAP<STRING, FLOAT>, address STRUCT<street:STRING, city:STRING, state:STRING, zip:INT, country:STRING> ); 2) Load data into this table LOAD DATA LOCAL INPATH '/home/satish/data/employees/input/employees-country.txt' INTO TABLE temp_employees; 3) Create partitoned table CREATE TABLE employees (name STRING, salary FLOAT, subordinates ARRAY<STRING>, deductions MAP<STRING, FLOAT>, address STRUCT<street:STRING, city:STRING, state:STRING, zip:INT, country:STRING> ) PARTITIONED BY (country STRING, state STRING); 2) Load data from temporary data into partitioned tables 2a) if there are already partitions existing then be careful giving a blanket query or it will overwrite data into exisiting partitions insert overwrite employees partition(country='USA',state='IL') select * from temp_employees where country="USA" and state ="IL"; this you will need to do for all of them 2b) if your partitioned table is empty currently then you can just enable dynamic partitioning and hive will take care of adding correct data into individual partitions set hive.exec.dynamic.partition.mode=nonstrict; set hive.exec.dynamic.partition=true; insert overwrite table employees select * from employees; 3) drop the temporary table by doing above approach you will have your data being replicated 2x times of replication factor for sometime but then once you drop temporary table it will be normal HDFS replication factor size data. Its been sometime I have worked on hive so others may have better approaches as well, so wait for someone to correct me before going further :) On Mon, May 27, 2013 at 2:13 PM, Sai Sai <saigr...@yahoo.in> wrote: > Nitin > I am still confused, from the below data that i have given should the > file which sits in the folder Country=USA and state=IL have only the rows > where Country=USA and state=IL or will it have rows of other countries also. > The reason i ask is because if we have a 250GB file and would like to > create 10 partitions that would end up in 2.5 TB * 3 = 7.5TB. Is this > expected. > Thanks > S > > ------------------------------ > *From:* Nitin Pawar <nitinpawar...@gmail.com> > *To:* user@hive.apache.org; Sai Sai <saigr...@yahoo.in> > *Sent:* Monday, 27 May 2013 2:08 PM > *Subject:* Re: Partitioning confusion > > when you specify the load data query with specific partition, it will put > the entire data into that partition. > > > > On Mon, May 27, 2013 at 1:08 PM, Sai Sai <saigr...@yahoo.in> wrote: > > > After creating a partition for a country (USA) and state (IL) and when we > go to the the hdfs site to look at the partition in the browser we r seeing > all the records for all the countries and states rather than just for the > partition created for US and IL given below, is this correct behavior: > ******************** > Here is my commands: > ******************** > > CREATE TABLE employees (name STRING, salary FLOAT, subordinates > ARRAY<STRING>, deductions MAP<STRING, FLOAT>, address STRUCT<street:STRING, > city:STRING, state:STRING, zip:INT, country:STRING> ) PARTITIONED BY > (country STRING, state STRING); > > LOAD DATA LOCAL INPATH > '/home/satish/data/employees/input/employees-country.txt' INTO TABLE > employees PARTITION (country='USA',state='IL'); > > ******************** > Here is my original data file, where i have a few countries data such as > USA, INDIA, UK, AUS: > ******************** > > John Doe100000.0Mary SmithTodd JonesFederal Taxes.2State > Taxes.05Insurance.11 Michigan Ave.ChicagoIL60600USA > Mary Smith80000.0Bill KingFederal Taxes.2State Taxes.05Insurance.1100 > Ontario St.ChicagoIL60601USA > Todd Jones70000.0Federal Taxes.15State Taxes.03Insurance.1200 Chicago > Ave.Oak ParkIL60700USA > Bill King60000.0Federal Taxes.15State Taxes.03Insurance.1300 Obscure > Dr.ObscuriaIL60100USA > Boss Man200000.0John DoeFred FinanceFederal Taxes.3State > Taxes.07Insurance.051 Pretentious Drive.ChicagoIL60500USA > Fred Finance150000.0Stacy AccountantFederal Taxes.3State > Taxes.07Insurance.052 Pretentious Drive.ChicagoIL60500USA > Stacy Accountant60000.0Federal Taxes.15State Taxes.03Insurance.1300 Main > St.NapervilleIL60563USA > John Doe 2100000.0Mary SmithTodd JonesFederal Taxes.2State > Taxes.05Insurance.11 Michigan Ave.ChicagoIL60600INDIA > Mary Smith 280000.0Bill KingFederal Taxes.2State Taxes.05Insurance.1100 > Ontario St.ChicagoIL60601INDIA > Todd Jones 270000.0Federal Taxes.15State Taxes.03Insurance.1200 Chicago > Ave.Oak ParkIL60700AUSTRALIA > Bill King 260000.0Federal Taxes.15State Taxes.03Insurance.1300 Obscure > Dr.ObscuriaIL60100AUSTRALIA > Boss Man2 200000.0John DoeFred FinanceFederal Taxes.3State > Taxes.07Insurance.051 Pretentious Drive.ChicagoIL60500UK > Fred Finance 2150000.0Stacy AccountantFederal Taxes.3State > Taxes.07Insurance.052 Pretentious Drive.ChicagoIL60500UK > Stacy Accountant 260000.0Federal Taxes.15State Taxes.03Insurance.1300 Main > St.NapervilleIL60563UK > ******************** > Now when i navigate to: > Contents of directory > /user/hive/warehouse/db1.db/employees/country=USA/state=IL > ******************** > I see all the records and was wondering if it should have only USA & IL > records. > Please help. > > > > > -- > Nitin Pawar > > > -- Nitin Pawar
