I am creating an ORC file in Java. For each row I want the fields to be comma delimited. Here is my java code:
ObjectInspector inspector = ObjectInspectorFactory.getReflectionObjectInspector(String.class,ObjectInspectorFactory.ObjectInspectorOptions.JAVA);
this.mWriter = OrcFile.createWriter(fs, fsPath, config, inspector, stripSize, CompressionKind.ZLIB, bufferSize,0);
this.mWriter.addRow(new Text("shekhar,saha"));
this.mWriter.addRow(new Text("ram,shyam"));
this.mWriter.addRow(new Text("jhon,cena"));
this.mWriter.close();
Is this right way of creating it?
I am trying to load data in a Hive table. This is how I have created my table:
create table demo ( name1 STRING,name2 STRING ) ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' STORED AS ORC tblproperties ("orc.compress"="ZLIB");
But I am not able to load data. When I am reading data from the table its throwing class caste exception org.apache.hadoop.hive.ql.io.orc.OrcStruct cannot be cast to org.apache.hadoop.io.Text
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 noticed that I can use an insert into statement from text table to avro table when not using the MultiDelimitSerDe. It also works with ROW FORMAT DELIMITED FIELDS TERMINATED BY "," i.e. a single character.
I create 2 tables - 1 text table and 1 avro table:
CREATE TABLE example1 ( example STRING, example2 STRING, example3
STRING ) ROW FORMAT SERDE
'org.apache.hadoop.hive.contrib.serde2.MultiDelimitSerDe' WITH
SERDEPROPERTIES ("field.delim"="**") STORED AS TEXTFILE ;
CREATE TABLE example2 ( example STRING, example2 STRING, example3
STRING ) STORED AS AVRO;
I then load data into example1 table (file delimited by "**")i.e.
LOAD DATA INPATH 'HDFS-path' INTO TABLE example1;
example1 now has data inside it. I want to insert the data from example1 to example2.
INSERT INTO TABLE example2 SELECT * from example1;
This however, gives a "return code 2" error. I have no idea why I am unable to insert the data using the MultiDelimitSerDe but I am able to do this with "ROW FORMAT DELIMITED FIELDS TERMINATED BY". But, I need to use a multi-delimiter.
Could anyone help me please?
Have you added the required JAR file?
'org.apache.hadoop.hive.contrib.serde2.MultiDelimitSerDe' - Make sure you have the required JAR file for this (hive_contrib.jar).
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.