HIVE: Create table from other table

Syntax

create table {new_table} like {existing_table}

 

Step 1: Create table emp which stores employees information.

CREATE TABLE emp (
id INT,
name STRING,
hobbies ARRAY<STRING>,
technology_experience MAP<STRING,STRING>,
gender_age STRUCT<gender:STRING,age:INT>
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '|'
COLLECTION ITEMS TERMINATED BY ','
MAP KEYS TERMINATED BY ':'
STORED AS TEXTFILE;

 

hive> CREATE TABLE emp (
    > id INT,
    > name STRING,
    > hobbies ARRAY<STRING>,
    > technology_experience MAP<STRING,STRING>,
    > gender_age STRUCT<gender:STRING,age:INT>
    > )
    > ROW FORMAT DELIMITED
    > FIELDS TERMINATED BY '|'
    > COLLECTION ITEMS TERMINATED BY ','
    > MAP KEYS TERMINATED BY ':'
    > STORED AS TEXTFILE;
OK
Time taken: 0.08 seconds

 

Let’s add some data to emp table.

 

Step 2: Create empInfo.txt file with below content.

 

empInfo.txt

 

1|Hari|Football,Cricket|Java:3.4Yrs,C:4.5Yrs|Male,30
2|Chamu|Trekking,Watching movies|Selenium:5.6Yrs|Feale,38
3|Sailu|Chess,Listening to music|EmbeddedC:9Yrs|Femle,32
4|Gopi|Cricket|Datastage:11Yrs|Male,32

 

Step 3: load empInfo.txt file content to emp table.

hive> LOAD DATA LOCAL INPATH '/Users/krishna/Documents/empInfo.txt' into table emp;;
Loading data to table default.emp
OK
Time taken: 0.593 seconds

Step 4: Print the content of emp table using select statement.

hive> select * from emp;
OK
1   Hari    ["Football","Cricket"]  {"Java":"3.4Yrs","C":"4.5Yrs"}  {"gender":"Male","age":30}
2   Chamu   ["Trekking","Watching movies"]  {"Selenium":"5.6Yrs"}   {"gender":"Feale","age":38}
3   Sailu   ["Chess","Listening to music"]  {"EmbeddedC":"9Yrs"}    {"gender":"Femle","age":32}
4   Gopi    ["Cricket"] {"Datastage":"11Yrs"}   {"gender":"Male","age":32}
Time taken: 0.1 seconds, Fetched: 12 row(s)

Step 5: Execute below command to create emp1 from emp.

create table emp1 like emp

hive> create table emp1 like emp;
OK
Time taken: 0.06 seconds

Above statement copies only the data definition but it not copies the content. You can confirm the same by querying.

hive> select * from emp1;
OK
Time taken: 0.083 seconds

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