I am trying to load data into hive tables which is delimited by double pipe(||). When I try this :
Sample I/P:
1405983600000||111.111.82.41||806065581||session-id
Creating table in hive:
create table test_hive(k1 string, k2 string, k3 string, k4 string,) row format delimited fields terminated by '||' stored as textfile;
Loading data from text file:
load data local inpath '/Desktop/input.txt' into table test_hive;
When I do this it is storing data in the below format:
1405983600000 tabspace-as-second-column 111.111.82.41 tabspace-as-fourth-column
Where as I am expecting the data in table to be
1405983600000 111.111.82.41 806065581 session-id
Kindly help me out I have tried different options on this but unable to resolve it
Multicharater delimiter eg. || is not supported in Hive till ver 0.13 . So fields terminated by || won't work out.There is an alter native for this.
CREATE EXTERNAL TABLE page_view(viewTime INT, userid BIGINT,
page_url STRING, referrer_url STRING,
ip STRING COMMENT 'IP Address of the User',
country STRING COMMENT 'country of origination')
COMMENT 'This is the staging page view table'
ROW FORMAT DELIMITED FIELDS TERMINATED BY '\054'
SERDE serde_name WITH SERDEPROPERTIES (field.delim='||')
STORED AS TEXTFILE
LOCATION '<hdfs_location>';
The default serde can be used. Multi character delimiters can be used for fields , line , escape characters by specifying them in the serde properties.
This issue has been resolved in hive 14 with the use of multidelimiter serde. Please find documentation here.
https://cwiki.apache.org/confluence/display/Hive/MultiDelimitSerDe
You could do this if you don't want to use alternate serde or have earlier version of hive:
create external table my_table (line string) location /path/file;
Then create view on top:
create view my_view as select split(line,'\\|\\|')[0] as column_1
, split(line,'\\|\\|')[1] as column_2
, split(line,'\\|\\|')[2] as column_3
from my_table;
Query the view. Good luck.
Related
I am new to Hive and am creating external tables on csv file. One of the issues I am coming across are values that contain multiple commas within string itself. For example, the csv file contains the following:
CSV File
When I create an external table in Hive, because there are columns within the "name" column, it shifts the first name to the right adding another column. This throws all of the data off when you view the table in Hive.
External Table result in Hive
Is there anything I can add to my script to keep the commas but also keep first and last name in the same column when the external table is created? Thank you all in advance - I am very new to Hive.
CREATE EXTERNAL TABLE database.table name (
ID INT,
Name String,
City String,
State String
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS TEXTFILE
LOCATION '/xyz/xyz/database/directory/'
TBLPROPERTIES ("skip.header.line.count"="1");
Check this solution - you need to add this line : ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.OpenCSVSerde'
https://community.cloudera.com/t5/Support-Questions/comma-in-between-data-of-csv-mapped-to-external-table-in/td-p/220193
Complete DDL example:
create table hcc(field1 string,
field2 string,
field3 string,
field4 string,
field5 string)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.OpenCSVSerde'
WITH SERDEPROPERTIES (
"separatorChar" = ",",
"quoteChar" = "\"");
I am looking to encode columns of a table in hive.
I tried:
hive> create table encode_test(id int, name STRING, phone STRING, address STRING)
> ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
> WITH SERDEPROPERTIES ('column.encode.columns'='phone,address', 'column.encode.classname'='org.apache.hadoop.hive.serde2.Base64WriteOnly') STORED AS TEXTFILE;
Say i have a CSV file, with following row
100,'navis','010-0000-0000','Seoul Seocho'
Now i tried to use.
LOAD DATA LOCAL INPATH
'/home/path/to/csv/test.csv'
INTO TABLE encode_test;
But when doing Select * from encode_test i am getting all columns NULL
Whereas the result should have been
100 navis MDEwLTAwMDAtMDAwMA== U2VvdWwsIFNlb2Nobw==
Also i want to give Fields TERMINATED BY ',' IN create table encode_test query.
but i am getting error: EOF error Near Fields
I also tried creating another table sample
create table sample(id int, name STRING, phone STRING, address STRING)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
LINES TERMINATED BY '\n'
STORED AS TEXTFILE;
And then imported the csv file in the sample table. and it was successfully imported.
then i tried using.
insert into encode_test select * from sample;
But i am getting this new error
Permission denied: user=root, access=WRITE, inode="/user":h dfs:supergroup:drwxr-xr-x
at org.apache.hadoop.hdfs.server.namenode.DefaultAuthorizationProvider.c heckFsPermission(DefaultAuthorizationProvider.java:279)
I'n new into hadoop
Please refer to this link from where i tried this problem
In Hive DDL, ROW FORMAT SERDE and FIELDS TERMINATED BY cannot co-exist together. Instead you can use, field.delim serde property.
create table encode_test(id int, name STRING, phone STRING, address STRING)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe'
WITH SERDEPROPERTIES (
'field.delim'=',',
'column.encode.columns'='phone,address',
'column.encode.classname'='org.apache.hadoop.hive.serde2.Base64WriteOnly')
STORED AS TEXTFILE;
And for the PermissionDenied exception, run the hive queries as either hdfs or hive user since root user does not have WRITE access to HDFS.
I created below mention external table..
create external table if not exists sensor.building1 (BuildingID int,BuildingMgr string , BuildingAge string, HVACproduct string , Country string) row format delimited fields terminated by ',';
Loaded the table by using below query..
load data inpath '/user/cloudera/sensor/SensorFiles/building.csv' into table sensor.building1;
When I am trying to retrieve the buildingID column using below query, but I am getting null value..
select a.BuildingID
from sensor.building1 as a
limit 10;
Please guide me where I am doing something wrong
You are trying to load a CSV file into hive table but hive's default field delimiter is '\001'
So while you tring to load data from csv (I am assuming its ',' separated) its get failed.
You can create table like :
create external table test1(country string, name string) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n';
I am trying to load data from a csv file in which the values are enclosed by double quotes '"' and tab separated '\t' .
But when I try to load that into hive its not throwing any error and data is loaded without any error but I think all the data is getting loaded into a single column and most of the values it showing as NULL.
below is my create table statement.
CREATE TABLE example
(
organization STRING,
order BIGINT,
created_on TIMESTAMP,
issue_date TIMESTAMP,
qty INT
)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY '\t'
ESCAPED BY '"'
STORED AS TEXTFILE;
Input file sample;-
"Organization" "Order" "Created on" "issue_date" "qty"
"GB" "111223" "2015/02/06 00:00:00" "2015/05/15 00:00:00" "5"
"UK" "1110" "2015/05/06 00:00:00" "2015/06/1 00:00:00" "51"
and Load statement to push data into hive table.
LOAD DATA INPATH '/user/example.csv' OVERWRITE INTO TABLE example
What could be the issue and how can I ignore header of the file.
and if I remove ESCAPED BY '"' from create statement its loading in respective columns but all the values are enclosed by double quotes.
How can I remove double quotes from values and ignore header of the file?
You can now use OpenCSVSerde which allows you to define the separator character and easily escape surrounding double-quotes :
CREATE EXTERNAL TABLE example (
organization STRING,
order BIGINT,
created_on TIMESTAMP,
issue_date TIMESTAMP,
qty INT
)
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.OpenCSVSerde'
WITH SERDEPROPERTIES (
"separatorChar" = "\t",
"quoteChar" = "\""
)
LOCATION '/your/folder/location/';
You don't want to use escaped by, that's for escape characters, not quote characters. I don't think that Hive actually has support for quote characters. You might want to take a look at this csv serde which accepts a quotechar property.
Also if you have HUE, you can use the metastore manager webapp to load the CSV in, this will deal with the header row, column datatypes and so on.
Use CSV Serde to create the table. I've created a table in hive as follows, and it works like charm.
CREATE EXTERNAL TABLE IF NOT EXISTS myTable (
id STRING,
url STRING,
name STRING
)
row format serde 'com.bizo.hive.serde.csv.CSVSerde'
with serdeproperties ("separatorChar" = "\t")
LOCATION '<folder location>';
"Hive now includes an OpenCSVSerde which will properly parse those quoted fields without adding additional jars or error prone and slow regex."
ROW FORMAT SERDE 'org.apache.hadoop.hive.serde2.OpenCSVSerde'
source = Ben Doerr
How to handle fields enclosed within quotes(CSV) in importing data from S3 into DynamoDB using EMR/Hive
You can use a CSV serde " csv-serde-1.1.2.jar " to load the file without double quotes.
download link:
http://ogrodnek.github.io/csv-serde/
and the create table statement as
CREATE TABLE <table_name> (col_name_1 type1, col_name_2 type2, ...) row format serde 'com.bizo.hive.serde.csv.CSVSerde';
you can remove the header with the following property in the create table stmt
tblproperties ("skip.header.line.count"="1");
I have loaded the data into hive table from the notepad, it is showing data is copied but when i run the select query it is showing null, please let us know what could be the reason
hive> create table test_sq(k string, v string) stored as sequencefile;
hive> load data local inpath '/tmp/input.txt' into table test_sq;
OK
hive> select * from tesst_t;
OK
NULL NULL
NULL NULL
Notepad : Assuming it is text. Whereas you have specified it as sequencefile.
Your create table script should be:
create table test_sq(k string, v string) row format delimited fields terminated by '';
I m not sure, if it is just a typo but you are trying to query on other table (tesst_t) instead of table that you loaded (test_sq)
Can you provide a sample line from your text file.
If you are using tab as delimiter then you can just use create table test_sq(k string, v string); .In other cases , as venkat has mentioned , use create table test_sq(k string, v string) row format delimited fields terminated by 'single_character_delimiter' . This will work even with tab delimiter('\t').