how to merge data while loading them into hive? - hadoop

I'm tring to use hive to analysis our log, and I have a question.
Assume we have some data like this:
A 1
A 1
A 1
B 1
C 1
B 1
How can I make it like this in hive table(order is not important, I just want to merge them) ?
A 1
B 1
C 1
without pre-process it with awk/sed or something like that?
Thanks!

Step 1: Create a Hive table for input data set .
create table if not exists table1 (fld1 string, fld2 string ) ROW FORMAT DELIMITED FIELDS TERMINATED BY '\t';
(i assumed field seprator is \t, you can replace it with actual separator)
Step 2 : Run below to get the merge data you are looking for
create table table2 as select fld1,fld2 from table1 group by fld1,fld2 ;
I tried this for below input set
hive (default)> select * from table1;
OK
A 1
A 1
A 1
B 1
C 1
B 1
create table table4 as select fld1,fld2 from table1 group by fld1,fld2 ;
hive (default)> select * from table4;
OK
A 1
B 1
C 1
You can use external table as well , but for simplicity I have used managed table here.

One idea.. you could create a table around the first file (called 'oldtable').
Then run something like this....
create table newtable select field1, max(field) from oldtable group by field1;
Not sure I have the syntax right, but the idea is to get unique values of the first field, and only one of the second. Make sense?

For merging the data, we can also use "UNION ALL" , it can also merge two different types of datatypes.
insert overwrite into table test1
(select x.* from t1 x )
UNION ALL
(select y.* from t2 y);
here we are merging two tables data (t1 and t2) into one single table test1.

There's no way to pre-process the data while it's being loaded without using an external program. You could use a view if you'd like to keep the original data intact.
hive> SELECT * FROM table1;
OK
A 1
A 1
A 1
B 1
C 1
B 1
B 2 # Added to show it will group correctly with different values
hive> CREATE VIEW table2 (fld1, fld2) AS SELECT fld1, fld2 FROM table1 GROUP BY fld1, fld2;
hive> SELECT * FROM table2;
OK
A 1
B 1
B 2
C 1

Related

How to write correct left Join of two tables?

I want to join two tables, first table primary key data type is number, and second table primary key data type is VARCHAR2(30 BYTE). How to join both tables.
I tried this code but second tables all values are null. why is that?
SELECT a.act_phone_no,a.act_actdevice,a.bi_account_id, a.packag_start_date, c.identification_number,
FROM ACTIVATIONS_POP a
left JOIN customer c
on TO_CHAR(a.act_phone_no) = c.msisdn_voice
first table
act_phone_no bi_account_id
23434 45345
34245 43556
Second table
msisdn_voice identification_number
23434 321113
34245 6547657
It seems that you didn't tell us everything. Query works, if correctly written, on such a sample data:
SQL> with
2 -- Sample data
3 activations_pop (act_phone_no, bi_account_id) as
4 (select 23434, 45345 from dual union all
5 select 34245, 43556 from dual
6 ),
7 customer (msisdn_voice, identification_number) as
8 (select '23434', 321113 from dual union all
9 select '34245', 6547657 from dual
10 )
11 -- query works OK
12 select a.act_phone_no,
13 a.bi_account_id,
14 c.identification_number
15 from activations_pop a join customer c on to_char(a.act_phone_no) = c.msisdn_voice;
ACT_PHONE_NO BI_ACCOUNT_ID IDENTIFICATION_NUMBER
------------ ------------- ---------------------
23434 45345 321113
34245 43556 6547657
SQL>
What could be wrong? Who knows. If you got some result but columns from the CUSTOMER table are empty (NULL?), then they really might be NULL, or you didn't manage to join rows on those columns (left/right padding with spaces?). Does joining on e.g.
on to_char(a.act_phone_no) = trim(c.msisdn_voice)
or
on a.act_phone_no = to_number(c.msisdn_voice)
help?
Consider posting proper test case (CREATE TABLE and INSERT INTO statements).
You are using Oracle ?
Please check the below demo
SELECT a.act_phone_no, a.bi_account_id, c.identification_number
FROM ACTIVATIONS_POP a
left JOIN customer c
on TO_CHAR(a.act_phone_no) = c.msisdn_voice;
SQLFiddle

Oracle: How to get max value for each item in list

I have a very large table that I need to retrieve data from. The table looks like this:
A B C D
1 foo 4 q
1 fool 2 p
1 fools 13 a
2 pho 5 d
3 phone 14 g
3 phones 6 f
I'm trying to run something like:
select max(B) from table where A = 1 union
select max(B) from table where A = 2 union
.
.
.
select max(B) from table where A = 50000;
What I want is to get:
1 -> fools
2 -> pho
3 -> phones
I have about 50,000 records to run this query for.
This above approach theoretically works (I tried on a small subset), but I think it's inefficient to have one select query for each of the 50000 values.
This also resulted in a process out of memory error.
Is there a way I can run this in a single query?
I tried:
select max(B) from table where A in (first group of 1000) union
select max(B) from table where A in (1000...2000) union
.
.
.
select max(B) from table where A in (40000...50000)
But this gives me only one max value per select query (and I understand why)
What I really want is 50000 max values.
Is there a way for me to get the value of max(B) for each item in the list if I use
select max(B) from table where A in (...)
Thank you!
It looks like you just need to use GROUP BY, like this:
select A, max(B)
from table
group by A
order by A
Let me know if I'm missing something.

Incremental data load to hive table

I am trying to load incremental data from one hive external table to another hive table. I have a date timestamp field on the source table to identify the newly added rows to it on a daily basis. My task is to extract the rows that are newly added to the source and insert them into the target table.
I am using Hive 0.14.
I tried the below queries but could not make it work.
INSERT INTO TABLE TARGET PARTITION (FIELD_DATE)
SELECT A.FIELD1, A.FIELD2, A.FIELD3,
CASE WHEN LENGTH(A.FIELD4)=0 THEN 0 ELSE 1 END,
CASE WHEN LENGTH(A.FIELD5)=0 THEN 0 ELSE 1 END,
FROM SOURCE A, (Select max(FIELD_TIMESTAMP) from TARGET) T
where A.FIELD_TIMESTAMP > T.FIELD_TIMESTAMP;
The above code is taking hours together without giving any result.
I also tried to execute the below query and later found that HIVE does not support subqueries in WHERE clause. (got ParseException)
INSERT INTO TABLE TARGET PARTITION (FIELD_DATE)
SELECT A.FIELD1, A.FIELD2, A.FIELD3,
CASE WHEN LENGTH(A.FIELD4)=0 THEN 0 ELSE 1 END,
CASE WHEN LENGTH(A.FIELD5)=0 THEN 0 ELSE 1 END,
FROM SOURCE A, TARGET T
where A.FIELD_TIMESTAMP > (Select max(FIELD_TIMESTAMP) from TARGET);
Please help me out in selecting only the rows that have been added after my initial load.
Thank you.
Try this
INSERT INTO TABLE TARGET PARTITION (FIELD_DATE)
SELECT A.FIELD1, A.FIELD2, A.FIELD3,
CASE WHEN LENGTH(A.FIELD4)=0 THEN 0 ELSE 1 END,
CASE WHEN LENGTH(A.FIELD5)=0 THEN 0 ELSE 1 END,
FROM SOURCE A JOIN
(Select max(FIELD_TIMESTAMP) as FIELD_TIMESTAMP from TARGET) T
on 1=1
where A.FIELD_TIMESTAMP > T.FIELD_TIMESTAMP;
This is the tested query for your reference:
insert into orders_target
select o.* from orders_source o join
(select max(o1.order_date) order_date from orders_target o1) o2
on 1=1
where o.order_date > o2.order_date;

How to load data into couple of tables from a single files with different records structure in Hive?

I have a single file with a structure like:
A 1 2 3
A 4 5 6
A 5 8 12
B abc cde
B and fae
B bsd oio
C 1
C 2
C 3
and would like to load the data in 3 simple tables (A (int int int), B(string string) C(int)).
Is it possible and how?
It's also fine for me, if A(string int int int) etc. with the first column of the file to be included in the table.
I'd go with option 1 as Praveen suggests. I'd create an external table of only a string, and use the FROM ( ... ) syntax to insert into multiple tables at once. I think something like the following would work
create external table source_table( line string )
stored as textfile
location '/myfile';
from ( select split( line , " ") as col_array from source_table ) cols
insert overwrite table A select col_array[1], col_array[2], col_array[3] where col_array[0] = 'A'
insert overwrite table B select col_array[1], col_array[2] where col_array[0] = 'B'
insert overwrite table C select col_array[1] where col_array[0] = 'C';
Option 1) Map the entire data to a Hive table and then use the insert overwrite table .... option to map the appropriate data to the target tables.
Option 2) Develop a MR program to split the file into multiple files and then do the mapping of the files to the target tables in Hive.

pl-sql include column names in query

A weird request maybe but. My boss wants me to create an admin version of a page we have that displays data from an oracle query in a table.
The admin page, instead of displaying the data (query returns 1 row), needs to return the table name and column name
Ex: Instead of:
Name Initial
==================
Bob A
I want:
Name Initial
============================
Users.FirstName Users.MiddleInitial
I realize I can do this in code but would rather just modify the query to return the data I want so I can leave the report generation code mostly alone.
I don't want to do it in a stored procedure.
So when I spit out the data in the report using something like:
blah blah = MyDataRow("FirstName")
I can leave that as is but instead of it displaying "BOB" it would display "Users.FirstName"
And I want to do the query using select * if possible instead of listing all the columns
So for each of the columns I am querying in the * , I want to get (instead of the column value) the tablename.ColumnName or tablename|columnName
hope you are following- I am confusing myself...
pseudo:
select tablename + '.' + Columnname as WhateverTheColumnNameIs
from Table1
left join Table2 on whatever...
Join Table_Names on blah blah
Whew- after writing all this I think I will just do it on the code side.
But if you are up for it maybe a fun challenge
Oracle does not provide an authentic way(there is no pseudocolumn) to get the column name of a table as a result of a query against that table. But you might consider these two approaches:
Extract column name from an xmltype, formed by passing cursor expression(your query) in the xmltable() function:
-- your table
with t1(first_name, middle_name) as(
select 1,2 from dual
), -- your query
t2 as(
select * -- col1 as "t1.col1"
--, col2 as "t1.col2"
--, col3 as "t1.col3"
from hr.t1
)
select *
from ( select q.object_value.getrootelement() as col_name
, rownum as rn
from xmltable('//*'
passing xmltype(cursor(select * from t2 where rownum = 1))
) q
where q.object_value.getrootelement() not in ('ROWSET', 'ROW')
)
pivot(
max(col_name) for rn in (1 as "name", 2 as "initial")
)
Result:
name initial
--------------- ---------------
FIRST_NAME MIDDLE_NAME
Note: In order for column names to be prefixed with table name, you need to list them
explicitly in the select list of a query and supply an alias, manually.
PL/SQL approach. Starting from Oracle 11g you could use dbms_sql() package and describe_columns() procedure specifically to get the name of columns in the cursor(your select).
This might be what you are looking for, try selecting from system views USER_TAB_COLS or ALL_TAB_COLS.

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