Shantanu's Blog

Corporate Consultant

March 10, 2013


SMS on steroids

I am using txtweb service to get the yubnub keyword info on my mobile. For e.g. In order to get the dictionary meaning of the word "procrastinate", I can type the following message and send it to 9266592665 (from india only)

@yubnub dit procrastinate

It will hit the website and pass the keyword "dict". The word "procrastinate" is searched for and the contents are returned to the user by SMS reply. @yubnub keyword is registered with txtweb and linked an intermediate page on my site ( It will eventually get the data from yubnub linked pages. Here is how it works. When I send a SMS request, it is first received by txtweb site.

1) goto txtweb site

2) Look for the keyword @yubnub. It is linked to my site. So pass on the data there:

3) My site will connect to yubnub site and hand over the keyword and variable.

4) Yubnub site will check where to get the dictionary data from. In this case it will go to

you can get more info about keywords using the command "man dit" at site.

This will open endless opportunities in the SMS world. Anyone can create a keyword for free by registering at site and use it for SMS information exchange.

@yubnub yubnub_keyword variable (send to 92665 92665 in India and 898-932 (TXT-WEB) in US and Canada)

If you do not like the @yubnub alias that I have already created, you can register a new user friendly keyword with txtweb site, for e.g. @mumbai, @nmcollege etc. It is also possible to add other DB related features if you know a little bit of PHP programming. Read the example here...


Hindi, Telugu, Tamil, Gujarati and Bengali translations are possible by sending sms to 9266592665
For e.g. Here is a message and the text that will return by sms

@yubnub hind kanchipuram guest house = कांचीपुरम गेस्ट हाउस

@yubnub telug kanchipuram guest house =  కాంచీపురం గెస్ట్ హౌస్

@yubnub tami kanchipuram guest house = காஞ்சிபுரம் கெஸ்ட் ஹவுஸ்

@yubnub guja kanchipuram guest house = કાંચીપુરમ અતિથિગૃહ

@yubnub beng kanchipuram guest house = kanchipuram অতিথিশালা

If you need to test it on the web, simply visit the site and type the commands with arguments as mentioned above.

March 06, 2013


InnoDB force recovery

If I did not shut down the mysql service at the time of stopping the server. Next time I got the following message in the mysql error log file (mysqld.log or /var/log/syslog).

[Note] Plugin 'FEDERATED' is disabled.
InnoDB: The InnoDB memory heap is disabled
InnoDB: Mutexes and rw_locks use GCC atomic builtins
InnoDB: Compressed tables use zlib
InnoDB: Initializing buffer pool, size = 128.0M
InnoDB: Completed initialization of buffer pool
InnoDB: highest supported file format is Barracuda.
The log sequence number in ibdata files does not match
the log sequence number in the ib_logfiles!
InnoDB: Database was not shut down normally!
Starting crash recovery.
Reading tablespace information from the .ibd files...
InnoDB: Operating system error number 13 in a file operation.
InnoDB: The error means mysqld does not have the access rights to
InnoDB: the directory.
InnoDB: File name .
InnoDB: File operation call: 'opendir'.
InnoDB: Cannot continue operation.

The fix was easy in this case. Just adding the following line in [mysqld] section of my.cnf file.

innodb_force_recovery = 6

* InnoDB is started in read only mode preventing users from performing INSERT, UPDATE, or DELETE operations.
* You can SELECT from tables to dump them, or DROP or CREATE tables even if forced recovery is used.
* If you know that a given table is causing a crash on rollback, you can drop it.
* You can also use this to stop a runaway rollback caused by a failing mass import or ALTER TABLE.
* You can kill the mysqld process and set innodb_force_recovery to 3 to bring the database up without the rollback.

Labels: ,

March 01, 2013


Redshift Tips

# List all tables:
select db_id, id, name, sum(rows) as mysum from stv_tbl_perm where db_id = 100546 group by db_id, id, name order by mysum desc;

# list all running processes:
select pid, query from stv_recents where status = 'Running';

# describe table
select * from PG_TABLE_DEF where tablename='audit_trail';

select * from pg_tables where schemaname = 'public'

# Disk space used:
select sum(used-tossed) as used, sum(capacity) as capacity from stv_partitions

# Query log
select query, starttime , substring from svl_qlog where substring like '%tbl_name%' order by starttime desc limit 50;

# command history
select * from stl_ddltext where text like '%ox_data_summary_hourly_depot%' limit 10

# last load errors
select starttime, filename, err_reason from stl_load_errors order by starttime desc limit 100

select filename, count(*) as cnt from stl_load_errors group by filename

# create table from another table
select * into newevent from event;

# Check how columns are compressed

If you insert, update, or delete a significant number of rows in a table, run the ANALYZE and VACUUM commands against the table.
"analyze compression tbl_name" command produce a report with the suggested column encoding.

# To find and diagnose load errors for table 'event'
create view loadview as
(select distinct tbl, trim(name) as table_name, query, starttime,
trim(filename) as input, line_number, field, err_code,
trim(err_reason) as reason
from stl_load_errors sl, stv_tbl_perm sp
where sl.tbl =;
select * from loadview where table_name='event';

# Query to find blocks used
select, count(*)
from stv_blocklist, stv_tbl_perm
where stv_blocklist.tbl =
and stv_blocklist.slice = stv_tbl_perm.slice
group by
order by;

Load tips:
# While loading data you can specify "empty as null", "blanks as null" allow "max error 5", "ignore blank lines", "remove quotes", "use zip". Use the keywords: emptyasnull blanksasnull maxerror 5 ignoreblanklines removequotes gzip
# use NULL AS '\000' to fix the import from specific files
# use BLANKASNULL in the original COPY statement so that no empty strings are loaded into VARCHAR fields which might ultimately be converted to numeric fields.
# Use the NOLOAD keyword with a COPY command to validate the data in the input files before actually loading the data.
# use COMPUPDATE to enable automatic compression
# FILLRECORD to fill missing columns at the end with blanks or NULLs
# TRIMBLANKS Removes the trailing whitespace characters from a VARCHAR string.
# ESCAPE the backslash character (\) in input data is treated as an escape character. (useful for delimiters and embedded newlines)
# ROUNDEC a value of 20.259 is loaded into a DECIMAL(8,2) column is changed to 20.26. or else 20.25
# TRUNCATECOLUMNS Truncates data in columns to the appropriate number.
# IGNOREHEADER to ignore first row


If you are using JDBC, can you try adding the keepalive option to your connect string. E.g.,
You can have AUTOCOMMIT set in your Workbench client.

In order to avoid timeout error while using workbench on Windows, use the following setting:
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\Tcpip\Parameters\KeepAliveTime 30000
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\Tcpip\Parameters\KeepAliveInterval 1000
HKEY_LOCAL_MACHINE\SYSTEM\CurrentControlSet\Services\Tcpip\Parameters\TcpMaxDataRetransmission 10

# Consider using DISTKEY and SORTKEY  - There can be multiple sortkeys but only one primary key.
# wlm_query_slot_count - This will set aside more memory for query, which may avoid operations spilling to disk
# the isolation level for Redshift is SERIALIZABLE


// There is no equivalent of "show create table tbl_name"
select from the PG_TABLE_DEF table to gather all the necessary schema information

// convert to and from unixtime

select extract (epoch from timestamp '2011-08-08 11:11:58');
select TIMESTAMP 'epoch' + starttime * INTERVAL '1 second' starting from tbl_name;

// Update a joined table:

update abcd set ser_area_code=abcd_update.ser_area_code, preferences=abcd_update.preferences, opstype=abcd_update.opstype,
from abcd_update join abcd nc on nc.phone_number = abcd_update.phone_number

// install postgresql
yum install postgresql postgresql-server
chkconfig postgresql on

// You will now create a file where the redshift password will be stored.
vi  ~/.pgpass

chmod 0600 ~/.pgpass

// load data to redshift
cat to_psql.txt  | psql  -Uroot -p5439 mydb > to_save.csv

// send the file as an attachment
echo "report file attached. " | mutt -s "result data " -a to_save.csv --

// mysqldump command that will generate the required statements to be used in redshift

mysqldump db_name tbl_name --where='1=1 limit 10' --compact --no-create-info --skip-quote-names > to_psql.txt

Amazon data types are different than of MySQL. For e.g. literals can be saved only as varchar type and upto 65000 bytes.

Here is a script that will do this conversion automatically.


If postgresql client is installed, we can connect to redshift using something like this...

# PGPASSWORD=Fly8946392085 psql -U fsb_user_85_22719249 -h -p 5439 -d flydatasandboxdb
Welcome to psql 8.1.23 (server 8.0.2), the PostgreSQL interactive terminal.


## script that will display 10 rows from each table


echo "select  name  from stv_tbl_perm where db_id = 100546 group by  name ;"  | psql -Uroot -p5439 mydb  > /root/psql.txt 2>> /root/psql_err.txt

for tbl_name in `cat /root/psql.txt`
echo "$tbl_name" >> /root/psql_limit.txt 2>> /root/psql_limit_err.txt
echo "select * from $tbl_name limit 10 ; "  | psql -Uroot -p5439 mydb  >> /var/www/psql_limit.txt 2>> /root/psql_limit_err.txt
echo "====================================="


The following statement queries the STV_LOCKS table to view all locks in effect for current transactions:

select table_id, last_update, lock_owner, lock_owner_pid, lock_status
from stv_locks;

 table_id |        last_update         | lock_owner | lock_owner_pid |      lock_status
   100295 | 2014-01-06 23:50:56.290917 |      95402 |           7723 | Holding write lock
   100304 | 2014-01-06 23:50:57.408457 |      95402 |           7723 | Holding write lock
   100304 | 2014-01-06 23:50:57.409986 |      95402 |           7723 | Holding  insert lock
(3 rows)

The following statement terminates the session holding the locks:

select pg_terminate_backend(7723);



command line amazon

AWS Command Line Interface is a must have tool for anyone who is working with amazon.

In order to install you can simply use any one of the following

easy_install awscli

pip install awscli

Once installed use the following script to execute the commands.

mydate=`date '+%b%d'`

cat > myconfigfile.txt << "heredoc"
aws_access_key_id = ABC
aws_secret_access_key = ABC+XYZ
region = us-east-1

export AWS_CONFIG_FILE=./myconfigfile.txt

# describe cluster and snapshots
aws redshift describe-clusters
aws redshift describe-cluster-snapshots | grep -C7 manual

# create a new cluster based on snapshot called mysnap
echo " aws redshift restore-from-cluster-snapshot --publicly-accessible --snapshot-identifier $snapshot --cluster-identifier $snapshot-$mydate "

# delete the cluster
echo " aws redshift delete-cluster --skip-final-cluster-snapshot --cluster-identifier $snapshot-$mydate "



June 2001   July 2001   January 2003   May 2003   September 2003   October 2003   December 2003   January 2004   February 2004   March 2004   April 2004   May 2004   June 2004   July 2004   August 2004   September 2004   October 2004   November 2004   December 2004   January 2005   February 2005   March 2005   April 2005   May 2005   June 2005   July 2005   August 2005   September 2005   October 2005   November 2005   December 2005   January 2006   February 2006   March 2006   April 2006   May 2006   June 2006   July 2006   August 2006   September 2006   October 2006   November 2006   December 2006   January 2007   February 2007   March 2007   April 2007   June 2007   July 2007   August 2007   September 2007   October 2007   November 2007   December 2007   January 2008   February 2008   March 2008   April 2008   July 2008   August 2008   September 2008   October 2008   November 2008   December 2008   January 2009   February 2009   March 2009   April 2009   May 2009   June 2009   July 2009   August 2009   September 2009   October 2009   November 2009   December 2009   January 2010   February 2010   March 2010   April 2010   May 2010   June 2010   July 2010   August 2010   September 2010   October 2010   November 2010   December 2010   January 2011   February 2011   March 2011   April 2011   May 2011   June 2011   July 2011   August 2011   September 2011   October 2011   November 2011   December 2011   January 2012   February 2012   March 2012   April 2012   May 2012   June 2012   July 2012   August 2012   October 2012   November 2012   December 2012   January 2013   February 2013   March 2013   April 2013   May 2013   June 2013   July 2013   September 2013   October 2013   January 2014   March 2014   April 2014   May 2014   July 2014   August 2014   September 2014   October 2014   November 2014   December 2014   January 2015   February 2015   March 2015   April 2015   May 2015   June 2015   July 2015   August 2015   September 2015   January 2016   February 2016   March 2016   April 2016   May 2016   June 2016   July 2016   August 2016   September 2016   October 2016   November 2016   December 2016   January 2017   February 2017   April 2017   May 2017  

This page is powered by Blogger. Isn't yours?