I've hit an interesting permissions problem when setting up an external table to view some Avro files in Hive.
The Avro files are in this directory :
drwxr-xr-x - myserver hdfs 0 2017-01-03 16:29 /server/data/avrofiles/
The server can write to this file, but regular users cannot.
As the database admin, I create an external table in Hive referencing this directory:
hive> create external table test_table (data string) stored as avro location '/server/data/avrofiles';
Now as a regular user I try to query the table:
hive> select * from test_table limit 10;
FAILED: HiveException java.security.AccessControlException: Permission denied: user=regular.joe, access=WRITE, inode="/server/data/avrofiles":myserver:hdfs:drwxr-xr-x
at org.apache.hadoop.hdfs.server.namenode.FSPermissionChecker.check(FSPermissionChecker.java:319)
Weird, I'm only trying to read the contents of the file using hive, I'm not trying to write to it.
Oddly, I don't get the same problem when I partition the table like this:
As database_admin:
hive> create external table test_table_partitioned (data string) partitioned by (value string) stored as avro;
OK
Time taken: 0.104 seconds
hive> alter table test_table_partitioned add if not exists partition (value='myvalue') location '/server/data/avrofiles';
OK
As a regular user:
hive> select * from test_table_partitioned where value = 'some_value' limit 10;
OK
Can anyone explain this?
One interesting thing I noticed is that the Location value for the two tables are different and have different permissions:
hive> describe formatted test_table;
Location: hdfs://server.companyname.com:8020/server/data/avrofiles
$ hadoop fs -ls /apps/hive/warehouse/my-database/
drwxr-xr-x - myserver hdfs 0 2017-01-03 16:29 /server/data/avrofiles/
user cannot write
hive> describe formatted test_table_partitioned;
Location: hdfs://server.companyname.com:8020/apps/hive/warehouse/my-database.db/test_table_partitioned
$ hadoop fs -ls /apps/hive/warehouse/my-database.db/
drwxrwxrwx - database_admin hadoop 0 2017-01-04 14:04 /apps/hive/warehouse/my-database.db/test_table_partitioned
anyone can do anything :)
I am working with Static Partitioning
data for processing is as follows
Id Name Salary Dept Doj
1,Murtaza,360000,Sales,2010
2,Soumya,478968,Admin,2011
3,Sneha,45789, Dev,2012
4,Asif ,145687, Qa,2012
5,Shreyashi,36598,Qa,2011
6,Adil,25987,Dev,2010
7,Yashwant,23982,Admin,2011
8,Mohsin,569875,2012
9,Anil,56798,Sales,2010
10,Balaji,56489,Sales,2012
11,Utsav,563895,Qa,2010
12,Anuj,546987,Dev,2010
Hql For creating Partitionng table and loading data into it is as follows
create external table if not exists murtaza.PartSalaryReport (ID int,Name
string,Salary string,Dept string)
partitioned by (Doj string)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
stored as textfile
location '/user/cts573151/externaltables';
LOAD DATA LOCAL INPATH '/home/cts573151/partition.txt'
overwrite into table murtaza.PartSalaryReport partition (Doj=2010);
LOAD DATA LOCAL INPATH '/home/cts573151/partition.txt'
overwrite into table murtaza.PartSalaryReport partition (Doj=2011);
LOAD DATA LOCAL INPATH '/home/cts573151/partition.txt'
overwrite into table murtaza.PartSalaryReport partition (Doj=2012);
Select * from murtaza.PartSalaryReport;`
Now Proble is that in my hdfs location where external table is located i should get data directory wise so upto that its ok
`
[cts573151#aster2 ~]$ hadoop dfs -ls /user/cts573151/externaltables`
DEPRECATED: Use of this script to execute hdfs command is deprecated.
Instead use the hdfs command for it.
Found 4 items
drwxr-xr-x - cts573151 supergroup 0 2016-12-12 13:06 /user/cts573151/externaltables/doj=2010
drwxr-xr-x - cts573151 supergroup 0 2016-12-12 13:06 /user/cts573151/externaltables/doj=2011
drwxr-xr-x - cts573151 supergroup 0 2016-12-12 13:06 /user/cts573151/externaltables/doj=2012
But when i look into data inside
drwxr-xr-x - cts573151 supergroup 0 2016-12-12 13:06 /user/cts573151/externaltables/doj=2010
it shows data of all 2010,2011 and 2012 , though it should show only 2010 data
[cts573151#aster2 ~]$ hadoop dfs -ls /user/cts573151/externaltables/doj=2010
DEPRECATED: Use of this script to execute hdfs command is deprecated.
Instead use the hdfs command for it.
Found 1 items
-rwxr-xr-x 3 cts573151 supergroup 270 2016-12-12 13:06 /user/cts573151/externaltables/doj=2010/partition.txt
[cts573151#aster2 ~]$ hadoop dfs -cat /user/cts573151/externaltables/doj=2010/partition.txt
DEPRECATED: Use of this script to execute hdfs command is deprecated.
Instead use the hdfs command for it.
1,Murtaza,360000,Sales,2010
2,Soumya,478968,Admin,2011
3,Sneha,45789,Dev,2012
4,Asif,145687,Qa,2012
5,Shreyashi,36598,Qa,2011
6,Adil,25987,Dev,2010
7,Yashwant,23982,Qa,2011
9,Anil,56798,Sales,2010
10,Balaji,56489,Sales,2012
11,Utsav,53895,Qa,2010
12,Anuj,54987,Dev,2010
[cts573151#aster2 ~]$
Where its wrong ???
Since you are creating external table in hive, so you have to follow the below sets of commands:
create external table if not exists murtaza.PartSalaryReport (
ID int, Name string, Salary string, Dept string)
partitioned by (Doj string)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
stored as textfile
location '/user/cts573151/externaltables';
alter table murtaza.PartSalaryReport add partition (Doj=2010);
hdfs dfs -put /home/cts573151/partition1.txt /user/cts573151/externaltables/Doj=2010/
alter table murtaza.PartSalaryReport add partition (Doj=2011);
hdfs dfs -put /home/cts573151/partition2.txt /user/cts573151/externaltables/Doj=2011/
alter table murtaza.PartSalaryReport add partition (Doj=2012);
hdfs dfs -put /home/cts573151/partition3.txt /user/cts573151/externaltables/Doj=2012/
These commands work for me, Hoping it helps you!!!
I need to run this whenever I need to mount partition. Rather than me doing it manually is there a way to auto detect partition in external hive tables
ALTER TABLE TableName ADD IF NOT EXISTS PARTITION()location 'locationpath';
Recover Partitions (MSCK REPAIR TABLE)
https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-RecoverPartitions(MSCKREPAIRTABLE)
MSCK REPAIR TABLE table_name;
partitions will be add automatically
Using dynamic partition, the directory does not need to be created manually. But dynamic partition mode needs to be set to nonstrict, by default it is strict
CREATE External TABLE profile (
userId int
)
PARTITIONED BY (city String)
location '/user/test/profile';
set hive.exec.dynamic.partition.mode=nonstrict;
hive> insert into profile partition(city)
select * from nonpartition;
hive> select * from profile;
OK
1 Chicago
1 Chicago
2 Orlando
and in HDFS
[cloudera#quickstart ~]$ hdfs dfs -ls /user/test/profile
Found 2 items
drwxr-xr-x - cloudera supergroup 0 2016-08-26
22:40 /user/test/profile/city=Chicago
drwxr-xr-x - cloudera supergroup 0 2016-08-26
22:40 /user/test/profile/city=Orlando
I would like to copy HIVE table from HIVE to HDFS. Please suggest the steps. Later I would like to use this HFDS file for Mahout Machine Learning.
I have created a HIVE table using data stored in the HDFS. Then I trasfromed the few variables in that data set and created a new table from that.
Now I would like to dump the HIVE table from HIVE to HDFS. So that it can be read by Mahout.
When I type this
hadoop fs -ls -R /user/hive/
I can able to see the list of table I have created ,
drwxr-xr-x - hdfs supergroup 0 2014-04-25 17:00 /user/hive/warehouse/telecom.db/telecom_tr
-rw-r--r-- 1 hdfs supergroup 5199062 2014-04-25 17:00 /user/hive/warehouse/telecom.db/telecom_tr/000000_0
I tried to copy the file from Hive to HDFS,
hadoop fs -cp /user/hive/warehouse/telecom.db/telecom_tr/* /user/hdfs/tele_copy
Here I was excepting tele_copy should be a csv file, stored in hdfs.
But when I do hadoop fs -tail /user/hdfs/tele_copy I get the below result.
7.980.00.00.0-9.0-30.00.00.670.00.00.00.06.00.06.670.00.670.00.042.02.02.06.04.0198.032.030.00.03.00.01.01.00.00.00.01.00.01.01.00.00.00.01.00.00.00.00.00.00.06.00.040.09.990.01.01
32.64296.7544.990.016.00.0-6.75-27.844.672.3343.334.671.3331.4725.05.3386.6754.07.00.00.044.01.01.02.02.0498.038.00.00.07.01.00.00.00.01.00.00.01.00.00.00.00.00.01.01.01.00.01.00.00.03.00.010.029.991.01.01
30.52140.030.00.250.00.0-42.0-0.520.671.339.00.00.034.6210.677.3340.09.332.00.00.040.02.02.01.01.01214.056.050.01.05.00.00.00.00.00.00.01.00.01.01.00.00.01.01.00.00.01.00.00.00.06.00.001.00.00.01.01
60.68360.2549.990.991.250.038.75-10.692.331.6715.670.00.0134.576.00.0102.6729.674.00.00.3340.02.01.08.03.069.028.046.00.05.00.01.00.00.00.00.00.01.01.01.00.00.00.01.00.00.01.00.00.00.02.00.020.0129.990.01.01
Which is not comma separated.
Also received the same result I received after running this command.
INSERT OVERWRITE DIRECTORY '/user/hdfs/data/telecom' SELECT * FROM telecom_tr;
When I do a -ls
drwxr-xr-x - hdfs supergroup 0 2014-04-29 17:34 /user/hdfs/data/telecom
-rw-r--r-- 1 hdfs supergroup 5199062 2014-04-29 17:34 /user/hdfs/data/telecom/000000_0
When I do a cat the result is not a CSV
What you're really asking is to have Hive store the file as a CSV file. Try using ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' see Row Format, Storage Format, and SerDe.
I have a table that is being partitioned by a specific start date (ds). I can query the latest partition (the previous day's data) and it will use the partition fine.
hive> select count(1) from vtc4 where ds='2012-11-01' ;
...garbage...
MapReduce Jobs Launched:
Job 0: Map: 1 Reduce: 1 Cumulative CPU: 6.43 sec HDFS Read: 46281957 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 6 seconds 430 msec
OK
151225
Time taken: 35.007 seconds
However, when I try to query earlier partitions, hive seems to read the partition fine, but does not return any results.
hive> select count(1) from vtc4 where ds='2012-10-31' ;
...garbage...
MapReduce Jobs Launched:
Job 0: Map: 1 Reduce: 1 Cumulative CPU: 7.64 sec HDFS Read: 37754168 HDFS Write: 2 SUCCESS
Total MapReduce CPU Time Spent: 7 seconds 640 msec
OK
0
Time taken: 29.07 seconds
However, if I tell hive to run the query against the date field inside the table itself, and don't use the partition, I get the correct result.
hive> select count(1) from vtc4 where date_started >= "2012-10-31 00:00:00" and date_started < "2012-11-01 00:00:00" ;
...garbage...
MapReduce Jobs Launched:
Job 0: Map: 63 Reduce: 1 Cumulative CPU: 453.52 sec HDFS Read: 16420276606 HDFS Write: 7 SUCCESS
Total MapReduce CPU Time Spent: 7 minutes 33 seconds 520 msec
OK
123201
Time taken: 265.874 seconds
What am I missing here? I'm running hadoop 1.03 and hive 0.9. I'm pretty new to hive/hadoop, so any help would be appreciated.
Thanks.
EDIT 1:
hive> describe formatted vtc4 partition (ds='2012-10-31');
Partition Value: [2012-10-31 ]
Database: default
Table: vtc4
CreateTime: Wed Oct 31 12:02:24 PDT 2012
LastAccessTime: UNKNOWN
Protect Mode: None
Location: hdfs://hadoop5.internal/user/hive/warehouse/vtc4/ds=2012-10-31
Partition Parameters:
transient_lastDdlTime 1351875579
# Storage Information
SerDe Library: org.apache.hadoop.hive.serde2.lazy.LazySimpleSerDe
InputFormat: org.apache.hadoop.mapred.TextInputFormat
OutputFormat: org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat
Compressed: No
Num Buckets: -1
Bucket Columns: []
Sort Columns: []
Storage Desc Params:
serialization.format 1
Time taken: 0.191 seconds
The partition folders exist, but when i try to do a hadoop fs -ls on hdfs://hadoop5.internal/user/hive/warehouse/vtc4/ds=2012-10-31 it says the file/directory does not exist. If I browse to that directory using the web interface, I can get into the folder , as well as see the /part-m-000* files. If I do a fs -ls on hdfs://hadoop5.internal/user/hive/warehouse/vtc4/ds=2012-11-01 it works fine.
Seems like either a permissions thing, or something funky with the either hive's or the namenode's metadata. Here's what I would try:
copy the data in that partition to some other location in hdfs. You may need to do this as the hive or hdfs user, depending on how your permissions are set up.
alter table vtc4 drop partition (ds='2012-10-31');
alter table vtc4 add partition (ds='2012-10-31');
copy the data back into that partition on hdfs
Another thing with hive partition is that it sometime doesn't register in metadata system when created outside of hive (e.g. from sparksql). You can also try MSCK REPAIR TABLE xc_bonus; after any changes to partition so it reflects correctly.