Share this
Round Trip Network Latency Tests for your Remote Database Service
by Jared Still on Sep 21, 2022 12:00:00 AM
If you are using a remote Oracle database service, such as Oracle’s Autonomous Transaction Processing database, or an AWS RDS database, how do you measure the network latency?
The usual method of using ‘ping’ or other tools will not work, as there is no access to the underlying server of the database service.
Wouldn’t it be great if there were a way to measure the round trip latency from your location directly to the remote database service?
Well, now there is. Here’s how you can do it.
Database Link
Two databases are used for this testing. The database that is the source of the testing, and the remote database that is the target of the testing.
A database link is created in the local database, and as you have likely already realized, the database link connects to the remote database.
For best results, the sqlplus session for this test is best run on the server for the local database. If the test is run from a client on another machine, the results can be skewed by the overhead of the connection between the client (such as your laptop) and the local database.
If the client machine and local database are physically close, then the skew would likely be only a fraction of millisecond. This may be negligible for most testing.
For this testing, the target database is a standard Oracle database created on a virtual server that is located in San Francisco California, USA. San Francisco is approximately 700 miles (1126 km) from my location.
Here’s the database link as created in my local database:
create database link droplet_link connect to pingtest identified by XXXX using 'localhost:6789/ORCLPDB1'
This particular database link is a bit of a special case. The database is running on a remote virtual machine from a low cost vendor. As I don’t want to open a database port to the internet, the connection to this database is via an ssh tunnel. The local port 6789 is forwarded to port 1521 on the database server.
The reason for creating this test database in a remote virtual machine is so that latency may also be measured with ‘ping’ for comparison.
Now that the database link is created, the first test can be performed.
Singleton Database Calls
This test consists of running this SQL statement 5 times, and measuring the difference between the time the SQL is executed, and the time the results are received.
This is the SQL statement used:
select systimestamp at local from dual@dblink
The code is actually a PL/SQL block. This can be seen at ping-remote-db.sql
The SQL is run 5 times at 2 second intervals. As the first execution of the SQL may include time required to connect to the database referred to by the database link, the first result is ignored.
$ echo exit | sql -S -L jkstill/XXX@orcl/pdb1 @ping-remote-db.sql Local Seconds Begin: 1641640285.703832 Local Seconds End: 1641640285.799489 Round Trip: 0.095657 ============================== Local Seconds Begin: 1641640287.864372 Local Seconds End: 1641640288.054133 Round Trip: 0.189761 ============================== Local Seconds Begin: 1641640290.103683 Local Seconds End: 1641640290.471617 Round Trip: 0.367934 ============================== Local Seconds Begin: 1641640292.537824 Local Seconds End: 1641640292.671595 Round Trip: 0.133771 ============================== Local Seconds Begin: 1641640294.711450 Local Seconds End: 1641640295.176477 Round Trip: 0.465027 ============================== Iterations: 5
The latency is from 95 – 465 ms.
How does that compare to ‘ping’?
$ ping -i 2 -c 5 137.nnn.nn.nnn PING 137.184.84.204 (137.184.84.204) 56(84) bytes of data. 64 bytes from 137.184.84.204: icmp_seq=1 ttl=48 time=31.4 ms 64 bytes from 137.184.84.204: icmp_seq=2 ttl=48 time=623 ms 64 bytes from 137.184.84.204: icmp_seq=3 ttl=48 time=194 ms 64 bytes from 137.184.84.204: icmp_seq=4 ttl=48 time=179 ms 64 bytes from 137.184.84.204: icmp_seq=5 ttl=48 time=66.5 ms --- 137.nnn.nn.nnn ping statistics --- 5 packets transmitted, 5 received, 0% packet loss, time 8004ms rtt min/avg/max/mdev = 31.441/219.196/623.788/211.862 ms
The first few times I tested this, the times of the database ping were approximately 2x the standard ping times.
Testing on other days shows less of a difference between the times.
There is extra overhead for the database ping as compared to the ping utility, so it would be expected to take a more time.
Just how much more time seems to vary with internet performance, as the remote databases are accessed via the internet.
Multiple Row Set Ping
If the extra time is due to database overhead, we should be able to devise a test that minimizes the database overhead.
One way to do this is to use a single SELECT statement that returns many rows, so that only 1 SQL execution is required.
Craft the SQL so that each row requires an entire TCP packet. Then get the total time required to retrieve the rows, and calculate the average latency.
The following SQL was used:
select systimestamp at local as ping_timestamp, rpad(''X'',1500-35-28,''X'') as filler from dual@dblink_name connect by level <= 10;
The standard TCP packet size is 1500 bytes, the length of `systimestamp at local` is 35, and the ICMP header is 28 bytes (on Linux anyway).
When this new test is run, as the number of packets increases, the average time per row should be close to the times seen by using the ‘ping’ utility.
This script was used to do that: ping-remote-db-multirow.sql
Results of the multirow db-ping test:
$ echo exit | sql -S -L jkstill/XXX@orcl/pdb1 @ping-remote-db-multirow.sql Local Seconds Begin: 1641644528.779681 Local Seconds End: 1641644528.849177 Round Trip: 0.069496 ============================== Local Seconds Begin: 1641644528.849205 Local Seconds End: 1641644529.350788 Round Trip: 0.501583 ============================== Local Seconds Begin: 1641644529.350817 Local Seconds End: 1641644530.000492 Round Trip: 0.649675 ============================== Local Seconds Begin: 1641644530.000530 Local Seconds End: 1641644530.042419 Round Trip: 0.041889 ============================== Local Seconds Begin: 1641644530.042447 Local Seconds End: 1641644530.146593 Round Trip: 0.104146 ============================== Local Seconds Begin: 1641644530.146621 Local Seconds End: 1641644530.264522 Round Trip: 0.117901 ============================== Local Seconds Begin: 1641644530.264549 Local Seconds End: 1641644530.625663 Round Trip: 0.361114 ============================== Local Seconds Begin: 1641644530.625691 Local Seconds End: 1641644531.093010 Round Trip: 0.467319 ============================== Local Seconds Begin: 1641644531.093038 Local Seconds End: 1641644531.397555 Round Trip: 0.304517 ============================== Local Seconds Begin: 1641644531.397584 Local Seconds End: 1641644531.448949 Round Trip: 0.051365 ============================== Connect Time: 3.449366 Round Trip Avg: 0.289347 Iterations: 10
And now a ping test with a count of 10:
$ ping -c 10 137.nnn.nn.nnn PING 137.184.84.204 (137.184.84.204) 56(84) bytes of data. 64 bytes from 137.184.84.204: icmp_seq=1 ttl=48 time=207 ms 64 bytes from 137.184.84.204: icmp_seq=2 ttl=48 time=124 ms 64 bytes from 137.184.84.204: icmp_seq=3 ttl=48 time=1281 ms 64 bytes from 137.184.84.204: icmp_seq=4 ttl=48 time=249 ms 64 bytes from 137.184.84.204: icmp_seq=5 ttl=48 time=383 ms 64 bytes from 137.184.84.204: icmp_seq=6 ttl=48 time=58.7 ms 64 bytes from 137.184.84.204: icmp_seq=7 ttl=48 time=588 ms 64 bytes from 137.184.84.204: icmp_seq=8 ttl=48 time=84.0 ms 64 bytes from 137.184.84.204: icmp_seq=9 ttl=48 time=74.8 ms 64 bytes from 137.184.84.204: icmp_seq=10 ttl=48 time=81.1 ms --- 137.nnn.nn.nnn ping statistics --- 10 packets transmitted, 10 received, 0% packet loss, time 9043ms rtt min/avg/max/mdev = 58.797/313.416/1281.181/360.031 ms, pipe 2
With an average ping time of 313 ms, and the average time with the db ping test at 289 ms, the results are quite close between the two tests.
These results are quite poor. While writing this blog over the course of a few days, I have seen the round trip latency for this database vary from 25-500 ms.
If this were a real production database rather than a throw away test database, it would be a good time to call in a network engineer.
Now that we know the db ping test is fairly accurate, we can trust the results when used with an ATP database.
Here are the results when testing against and ATP database it is in an Oracle OCI data center in Phoenix Arizona, USA, which is about 1200 miles (1931 km) from my location.
Here is the SQL for the database link:
-- for a dblink the oracle server must have access to wallets -- so the wallets must be available on the db server create database link oci_link connect to jkstill identified by XXXX using '(description= (retry_count=20)(retry_delay=3)(address=(protocol=tcps)(port=1522)(host=adb.us-phoenix-1.oraclecloud.com))(connect_data=(service_name=****************atp21c01_high.adb.oraclecloud.com))(security=(ssl_server_dn_match=true)(ssl_server_cert_dn="CN=****.uscom-east-1.oraclecloud.com,OU=Oracle BMCS US,O=Oracle Corporation,L=Redwood City,ST=California,C=US")(my_wallet_directory=/u01/app/oracle/wallets/atp21c01)))' /
And here are the results:
$ echo exit | sql -S -L jkstill/XXX@orcl/pdb1 @ping-remote-db-multirow.sql Local Seconds Begin: 1641644841.938675 Local Seconds End: 1641644842.365383 Round Trip: 0.426708 ============================== Local Seconds Begin: 1641644842.365437 Local Seconds End: 1641644842.603871 Round Trip: 0.238434 ============================== Local Seconds Begin: 1641644842.603898 Local Seconds End: 1641644843.064586 Round Trip: 0.460688 ============================== Local Seconds Begin: 1641644843.064614 Local Seconds End: 1641644843.749951 Round Trip: 0.685337 ============================== Local Seconds Begin: 1641644843.749978 Local Seconds End: 1641644844.319656 Round Trip: 0.569678 ============================== Local Seconds Begin: 1641644844.319686 Local Seconds End: 1641644844.550935 Round Trip: 0.231249 ============================== Local Seconds Begin: 1641644844.550964 Local Seconds End: 1641644845.017424 Round Trip: 0.466460 ============================== Local Seconds Begin: 1641644845.017453 Local Seconds End: 1641644845.678804 Round Trip: 0.661351 ============================== Local Seconds Begin: 1641644845.678831 Local Seconds End: 1641644845.868892 Round Trip: 0.190061 ============================== Local Seconds Begin: 1641644845.868920 Local Seconds End: 1641644846.417399 Round Trip: 0.548479 ============================== Connect Time: 2.455469 Round Trip Avg: 0.483373 Iterations: 10
The average latency is 483 ms, which is an excessive time for this location.
The time required to connect is being measured as well. In this case the connection took nearly 2.5 seconds.
Previous tests on a different day had much better results, so clearly there are currently some network performance issues.
If there were complaints of slow performance retrieving results from this database, the network performance would certainly be a prime suspect.
Refinements
The results appear good enough for general use, but, there are some refinements that could be made.
TCP Packet Size
The calculate in the SQL for packet size does not take into account the overhead required for organization of the data that is returned. The ICMP overhead and size the timestamp string were used, but there will be a few bytes used to organize that data. Each row returned is likely required 2 TCP packets.
To correct this, the ‘tcpdump’ utility could be used to analyze the size of the data and overhead, and reduce the size of the filler string used in the SQL.
Local Network Latency
No attempt has been made to correct for local network latency.
For instance, my testing was performed from a client that is in the same rack as the local database. There is a small amount of latency between those machines, about 0.000250 seconds, or .25 ms. The timestamps are being returned from the local machine via ‘timestamp at local’, where local is the client machine.
To make this more accurate, the latency could be calculated and accounted for.
However, that is really too much work, as the simpler solution is to just run these tests directly from the server where the local database is running.
Even without those refinements, the results are acceptable for most use cases.
Now that you have the means, you can try this out on your own.
The full code is found at db-ping
Share this
- Technical Track (969)
- Oracle (400)
- MySQL (137)
- Cloud (131)
- Open Source (90)
- Google Cloud (83)
- DBA Lounge (76)
- Microsoft SQL Server (76)
- Technical Blog (74)
- Big Data (52)
- AWS (49)
- Google Cloud Platform (47)
- Cassandra (44)
- DevOps (41)
- Azure (38)
- Pythian (33)
- Linux (30)
- Database (26)
- Podcasts (25)
- Site Reliability Engineering (25)
- Performance (24)
- SQL Server (24)
- Microsoft Azure (23)
- Oracle E-Business Suite (23)
- PostgreSQL (23)
- Oracle Database (22)
- Docker (21)
- Group Blog Posts (20)
- Security (20)
- DBA (19)
- Log Buffer (19)
- SQL (19)
- Exadata (18)
- Mongodb (18)
- Oracle Cloud Infrastructure (OCI) (18)
- Oracle Exadata (18)
- Automation (17)
- Hadoop (16)
- Oracleebs (16)
- Amazon RDS (15)
- Ansible (15)
- Ebs (15)
- Snowflake (15)
- ASM (13)
- BigQuery (13)
- Patching (13)
- RDS (13)
- Replication (13)
- Data (12)
- GenAI (12)
- Kubernetes (12)
- Oracle 12C (12)
- Advanced Analytics (11)
- Backup (11)
- LLM (11)
- Machine Learning (11)
- OCI (11)
- Rman (11)
- Cloud Migration (10)
- Datascape Podcast (10)
- Monitoring (10)
- R12 (10)
- 12C (9)
- AI (9)
- Apache Cassandra (9)
- Data Guard (9)
- Infrastructure (9)
- Oracle 19C (9)
- Oracle Applications (9)
- Python (9)
- Series (9)
- AWR (8)
- Amazon Web Services (AWS) (8)
- Articles (8)
- High Availability (8)
- Oracle EBS (8)
- Percona (8)
- Powershell (8)
- Recovery (8)
- Weblogic (8)
- Apache Beam (7)
- Backups (7)
- Data Governance (7)
- Goldengate (7)
- Innodb (7)
- Migration (7)
- Myrocks (7)
- OEM (7)
- Oracle Enterprise Manager (OEM) (7)
- Performance Tuning (7)
- Authentication (6)
- ChatGPT-4 (6)
- Data Enablement (6)
- Database Performance (6)
- E-Business Suite (6)
- Fmw (6)
- Grafana (6)
- Oracle Enterprise Manager (6)
- Orchestrator (6)
- Postgres (6)
- Rac (6)
- Renew Refresh Republish (6)
- RocksDB (6)
- Serverless (6)
- Upgrade (6)
- 19C (5)
- Azure Data Factory (5)
- Azure Synapse Analytics (5)
- Cpu (5)
- Data Visualization (5)
- Disaster Recovery (5)
- Error (5)
- Generative AI (5)
- Google BigQuery (5)
- Indexes (5)
- Love Letters To Data (5)
- Mariadb (5)
- Microsoft (5)
- Proxysql (5)
- Scala (5)
- Sql Server Administration (5)
- VMware (5)
- Windows (5)
- Xtrabackup (5)
- Airflow (4)
- Analytics (4)
- Apex (4)
- Best Practices (4)
- Centrally Managed Users (4)
- Cli (4)
- Cloud FinOps (4)
- Cloud Spanner (4)
- Cockroachdb (4)
- Configuration Management (4)
- Container (4)
- Data Management (4)
- Data Pipeline (4)
- Data Security (4)
- Data Strategy (4)
- Database Administrator (4)
- Database Management (4)
- Database Migration (4)
- Dataflow (4)
- Dbsat (4)
- Elasticsearch (4)
- Fahd Mirza (4)
- Fusion Middleware (4)
- Google (4)
- Io (4)
- Java (4)
- Kafka (4)
- Middleware (4)
- Mysql 8 (4)
- Network (4)
- Ocidtab (4)
- Opatch (4)
- Oracle Autonomous Database (Adb) (4)
- Oracle Cloud (4)
- Pitr (4)
- Post-Mortem Analysis (4)
- Prometheus (4)
- Redhat (4)
- September 9Th 2015 (4)
- Sql2016 (4)
- Ssl (4)
- Terraform (4)
- Workflow (4)
- 2Fa (3)
- Alwayson (3)
- Amazon Relational Database Service (Rds) (3)
- Apache Kafka (3)
- Apexexport (3)
- Aurora (3)
- Azure Sql Db (3)
- Cdb (3)
- ChatGPT (3)
- Cloud Armor (3)
- Cloud Database (3)
- Cloud Security (3)
- Cluster (3)
- Consul (3)
- Cosmos Db (3)
- Cost Management (3)
- Covid19 (3)
- Crontab (3)
- Data Analytics (3)
- Data Integration (3)
- Database 12C (3)
- Database Monitoring (3)
- Database Troubleshooting (3)
- Database Upgrade (3)
- Databases (3)
- Dataops (3)
- Dbt (3)
- Digital Transformation (3)
- ERP (3)
- Google Chrome (3)
- Google Cloud Sql (3)
- Graphite (3)
- Haproxy (3)
- Heterogeneous Database Migration (3)
- Hugepages (3)
- Inside Pythian (3)
- Installation (3)
- Json (3)
- Keras (3)
- Ldap (3)
- Liquibase (3)
- Love Letter (3)
- Lua (3)
- Mfa (3)
- Multitenant (3)
- Mysql 5.7 (3)
- Mysql Configuration (3)
- Nginx (3)
- Nodetool (3)
- Non-Tech Articles (3)
- Oem 13C (3)
- Oms (3)
- Oracle 18C (3)
- Oracle Data Guard (3)
- Oracle Live Sql (3)
- Oracle Rac (3)
- Patch (3)
- Perl (3)
- Pmm (3)
- Pt-Online-Schema-Change (3)
- Rdbms (3)
- Recommended (3)
- Remote Teams (3)
- Reporting (3)
- Reverse Proxy (3)
- S3 (3)
- Spark (3)
- Sql On The Edge (3)
- Sql Server Configuration (3)
- Sql Server On Linux (3)
- Ssis (3)
- Ssis Catalog (3)
- Stefan Knecht (3)
- Striim (3)
- Sysadmin (3)
- System Versioned (3)
- Systemd (3)
- Temporal Tables (3)
- Tensorflow (3)
- Tools (3)
- Tuning (3)
- Vasu Balla (3)
- Vault (3)
- Vulnerability (3)
- Waf (3)
- 18C (2)
- Adf (2)
- Adop (2)
- Agent (2)
- Agile (2)
- Amazon Data Migration Service (2)
- Amazon Ec2 (2)
- Amazon S3 (2)
- Apache Flink (2)
- Apple (2)
- Apps (2)
- Ashdump (2)
- Atp (2)
- Audit (2)
- Automatic Backups (2)
- Autonomous (2)
- Autoupgrade (2)
- Awr Data Mining (2)
- Azure Sql (2)
- Azure Sql Data Sync (2)
- Bash (2)
- Business (2)
- Business Intelligence (2)
- Caching (2)
- Cassandra Nodetool (2)
- Cdap (2)
- Certification (2)
- Cloning (2)
- Cloud Cost Optimization (2)
- Cloud Data Fusion (2)
- Cloud Hosting (2)
- Cloud Infrastructure (2)
- Cloud Shell (2)
- Cloud Sql (2)
- Cloudscape (2)
- Cluster Level Consistency (2)
- Conferences (2)
- Consul-Template (2)
- Containerization (2)
- Containers (2)
- Cosmosdb (2)
- Costs (2)
- Cql (2)
- Cqlsh (2)
- Cyber Security (2)
- Data Discovery (2)
- Data Migration (2)
- Data Quality (2)
- Data Streaming (2)
- Data Warehouse (2)
- Database Consulting (2)
- Database Migrations (2)
- Dataguard (2)
- Datapump (2)
- Ddl (2)
- Debezium (2)
- Dictionary Views (2)
- Dms (2)
- Docker-Composer (2)
- Dr (2)
- Duplicate (2)
- Ecc (2)
- Elastic (2)
- Elastic Stack (2)
- Em12C (2)
- Encryption (2)
- Enterprise Data Platform (EDP) (2)
- Enterprise Manager (2)
- Etl (2)
- Events (2)
- Exachk (2)
- Filter Driver (2)
- Flume (2)
- Full Text Search (2)
- Galera (2)
- Gemini (2)
- General Purpose Ssd (2)
- Gh-Ost (2)
- Gke (2)
- Google Workspace (2)
- Hanganalyze (2)
- Hdfs (2)
- Health Check (2)
- Historical Trends (2)
- Incremental (2)
- Infiniband (2)
- Infrastructure As Code (2)
- Innodb Cluster (2)
- Innodb File Structure (2)
- Innodb Group Replication (2)
- Install (2)
- Internals (2)
- Java Web Start (2)
- Kibana (2)
- Log (2)
- Log4J (2)
- Logs (2)
- Memory (2)
- Merge Replication (2)
- Metrics (2)
- Mutex (2)
- MySQLShell (2)
- NLP (2)
- Neo4J (2)
- Node.Js (2)
- Nosql (2)
- November 11Th 2015 (2)
- Ntp (2)
- Oci Iam (2)
- Oem12C (2)
- Omspatcher (2)
- Opatchauto (2)
- Open Source Database (2)
- Operational Excellence (2)
- Oracle 11G (2)
- Oracle Datase (2)
- Oracle Extended Manager (Oem) (2)
- Oracle Flashback (2)
- Oracle Forms (2)
- Oracle Installation (2)
- Oracle Io Testing (2)
- Pdb (2)
- Podcast (2)
- Puppet (2)
- Pythian Europe (2)
- R12.2 (2)
- Redshift (2)
- Remote DBA (2)
- Remote Sre (2)
- SAP (2)
- SAP HANA Cloud (2)
- Sap Migration (2)
- Scale (2)
- Schema (2)
- September 30Th 2015 (2)
- September 3Rd 2015 (2)
- Shell (2)
- Simon Pane (2)
- Single Sign-On (2)
- Sql Server On Gke (2)
- Sqlplus (2)
- Sre (2)
- Ssis Catalog Error (2)
- Ssisdb (2)
- Standby (2)
- Statspack Mining (2)
- Systemstate Dump (2)
- Tablespace (2)
- Technical Training (2)
- Tempdb (2)
- Tfa (2)
- Throughput (2)
- Tls (2)
- Tombstones (2)
- Transactional Replication (2)
- User Groups (2)
- Vagrant (2)
- Variables (2)
- Virtual Machine (2)
- Virtual Machines (2)
- Virtualbox (2)
- Web Application Firewall (2)
- Webinars (2)
- X5 (2)
- scalability (2)
- //Build2019 (1)
- 11G (1)
- 12.1 (1)
- 12Cr1 (1)
- 12Cr2 (1)
- 18C Grid Installation (1)
- 2022 (1)
- 2022 Snowflake Summit (1)
- AI Platform (1)
- AI Summit (1)
- Actifio (1)
- Active Directory (1)
- Adaptive Hash Index (1)
- Adf Custom Email (1)
- Adobe Flash (1)
- Adrci (1)
- Advanced Data Services (1)
- Afd (1)
- After Logon Trigger (1)
- Ahf (1)
- Aix (1)
- Akka (1)
- Alloydb (1)
- Alter Table (1)
- Always On (1)
- Always On Listener (1)
- Alwayson With Gke (1)
- Amazon (1)
- Amazon Athena (1)
- Amazon Aurora Backtrack (1)
- Amazon Efs (1)
- Amazon Redshift (1)
- Amazon Sagemaker (1)
- Amazon Vpc Flow Logs (1)
- Amdu (1)
- Analysis (1)
- Analytical Models (1)
- Analyzing Bigquery Via Sheets (1)
- Anisble (1)
- Annual Mysql Community Dinner (1)
- Anthos (1)
- Apache (1)
- Apache Nifi (1)
- Apache Spark (1)
- Application Migration (1)
- Architect (1)
- Architecture (1)
- Ash (1)
- Asmlib (1)
- Atlas CLI (1)
- Audit In Postgres (1)
- Audit In Postgresql (1)
- Auto Failover (1)
- Auto Increment (1)
- Auto Index (1)
- Autoconfig (1)
- Automated Reports (1)
- Automl (1)
- Autostart (1)
- Awr Mining (1)
- Aws Glue (1)
- Aws Lake Formation (1)
- Aws Lambda (1)
- Azure Analysis Services (1)
- Azure Blob Storage (1)
- Azure Cognitive Search (1)
- Azure Data (1)
- Azure Data Lake (1)
- Azure Data Lake Analytics (1)
- Azure Data Lake Store (1)
- Azure Data Migration Service (1)
- Azure Dma (1)
- Azure Dms (1)
- Azure Document Intelligence (1)
- Azure Integration Runtime (1)
- Azure OpenAI (1)
- Azure Sql Data Warehouse (1)
- Azure Sql Dw (1)
- Azure Sql Managed Instance (1)
- Azure Vm (1)
- Backup For Sql Server (1)
- Bacpac (1)
- Bag (1)
- Bare Metal Solution (1)
- Batch Operation (1)
- Batches In Cassandra (1)
- Beats (1)
- Best Practice (1)
- Bi Publisher (1)
- Binary Logging (1)
- Bind Variables (1)
- Bitnami (1)
- Blob Storage Endpoint (1)
- Blockchain (1)
- Browsers (1)
- Btp Architecture (1)
- Btp Components (1)
- Buffer Pool (1)
- Bug (1)
- Bugs (1)
- Build 2019 Updates (1)
- Build Cassandra (1)
- Bundle Patch (1)
- Bushy Join (1)
- Business Continuity (1)
- Business Insights (1)
- Business Process Modelling (1)
- Business Reputation (1)
- CAPEX (1)
- Capacity Planning (1)
- Career (1)
- Career Development (1)
- Cassandra-Cli (1)
- Catcon.Pm (1)
- Catctl.Pl (1)
- Catupgrd.Sql (1)
- Cbo (1)
- Cdb Duplication (1)
- Certificate (1)
- Certificate Management (1)
- Chaos Engineering (1)
- Cheatsheet (1)
- Checkactivefilesandexecutables (1)
- Chmod (1)
- Chown (1)
- Chrome Enterprise (1)
- Chrome Security (1)
- Cl-Series (1)
- Cleanup (1)
- Cloud Browser (1)
- Cloud Build (1)
- Cloud Consulting (1)
- Cloud Data Warehouse (1)
- Cloud Database Management (1)
- Cloud Dataproc (1)
- Cloud Foundry (1)
- Cloud Manager (1)
- Cloud Migations (1)
- Cloud Networking (1)
- Cloud SQL Replica (1)
- Cloud Scheduler (1)
- Cloud Services (1)
- Cloud Strategies (1)
- Cloudformation (1)
- Cluster Resource (1)
- Cmo (1)
- Cockroach Db (1)
- Coding Benchmarks (1)
- Colab (1)
- Collectd (1)
- Columnar (1)
- Communication Plans (1)
- Community (1)
- Compact Storage (1)
- Compaction (1)
- Compliance (1)
- Compression (1)
- Compute Instances (1)
- Compute Node (1)
- Concurrent Manager (1)
- Concurrent Processing (1)
- Configuration (1)
- Consistency Level (1)
- Consolidation (1)
- Conversational AI (1)
- Covid-19 (1)
- Cpu Patching (1)
- Cqlsstablewriter (1)
- Crash (1)
- Create Catalog Error (1)
- Create_File_Dest (1)
- Credentials (1)
- Cross Platform (1)
- CrowdStrike (1)
- Crsctl (1)
- Custom Instance Images (1)
- Cve-2022-21500 (1)
- Cvu (1)
- Cypher Queries (1)
- DBSAT 3 (1)
- Dacpac (1)
- Dag (1)
- Data Analysis (1)
- Data Analytics Platform (1)
- Data Box (1)
- Data Classification (1)
- Data Cleansing (1)
- Data Encryption (1)
- Data Engineering (1)
- Data Estate (1)
- Data Flow Management (1)
- Data Insights (1)
- Data Integrity (1)
- Data Lake (1)
- Data Leader (1)
- Data Lifecycle Management (1)
- Data Lineage (1)
- Data Masking (1)
- Data Mesh (1)
- Data Migration Assistant (1)
- Data Migration Service (1)
- Data Mining (1)
- Data Modeling (1)
- Data Monetization (1)
- Data Policy (1)
- Data Profiling (1)
- Data Protection (1)
- Data Retention (1)
- Data Safe (1)
- Data Sheets (1)
- Data Summit (1)
- Data Vault (1)
- Data Warehouse Modernization (1)
- Database Auditing (1)
- Database Consultant (1)
- Database Link (1)
- Database Modernization (1)
- Database Provisioning (1)
- Database Provisioning Failed (1)
- Database Replication (1)
- Database Scaling (1)
- Database Schemas (1)
- Database Security (1)
- Databricks (1)
- Datadog (1)
- Datafile (1)
- Datapatch (1)
- Dataprivacy (1)
- Datascape 59 (1)
- Datasets (1)
- Datastax Cassandra (1)
- Datastax Opscenter (1)
- Datasync Error (1)
- Db_Create_File_Dest (1)
- Dbaas (1)
- Dbatools (1)
- Dbcc Checkident (1)
- Dbms_Cloud (1)
- Dbms_File_Transfer (1)
- Dbms_Metadata (1)
- Dbms_Service (1)
- Dbms_Stats (1)
- Dbupgrade (1)
- Deep Learning (1)
- Delivery (1)
- Devd (1)
- Dgbroker (1)
- Dialogflow (1)
- Dict0Dict (1)
- Did You Know (1)
- Direct Path Read Temp (1)
- Disk Groups (1)
- Disk Management (1)
- Diskgroup (1)
- Dispatchers (1)
- Distributed Ag (1)
- Distribution Agent (1)
- Documentation (1)
- Download (1)
- Dp Agent (1)
- Duet AI (1)
- Duplication (1)
- Dynamic Sampling (1)
- Dynamic Tasks (1)
- E-Business Suite Cpu Patching (1)
- E-Business Suite Patching (1)
- Ebs Sso (1)
- Ec2 (1)
- Edb Postgresql Advanced Server (1)
- Edb Postgresql Password Verify Function (1)
- Editions (1)
- Edp (1)
- El Carro (1)
- Elassandra (1)
- Elk Stack (1)
- Em13Cr2 (1)
- Emcli (1)
- End of Life (1)
- Engineering (1)
- Enqueue (1)
- Enterprise (1)
- Enterprise Architecture (1)
- Enterprise Command Centers (1)
- Enterprise Manager Command Line Interface (Em Cli (1)
- Enterprise Plus (1)
- Episode 58 (1)
- Error Handling (1)
- Exacc (1)
- Exacheck (1)
- Exacs (1)
- Exadata Asr (1)
- Execution (1)
- Executive Sponsor (1)
- Expenditure (1)
- Export Sccm Collection To Csv (1)
- External Persistent Volumes (1)
- Fail (1)
- Failed Upgrade (1)
- Failover In Postgresql (1)
- Fall 2021 (1)
- Fast Recovery Area (1)
- FinOps Strategy (1)
- Flash Recovery Area (1)
- Flashback (1)
- Fnd (1)
- Fndsm (1)
- Force_Matching_Signature (1)
- Fra Full (1)
- Framework (1)
- Freebsd (1)
- Fsync (1)
- Function-Based Index (1)
- GCVE Architecture (1)
- GPQA (1)
- Gaming (1)
- Garbagecollect (1)
- Gcp Compute (1)
- Gcp-Spanner (1)
- Geography (1)
- Geth (1)
- Getmospatch (1)
- Git (1)
- Global Analytics (1)
- Gmail (1)
- Gmail Security (1)
- Google Analytics (1)
- Google Cloud Architecture Framework (1)
- Google Cloud Data Services (1)
- Google Cloud Partner (1)
- Google Cloud Spanner (1)
- Google Cloud VMware Engine (1)
- Google Compute Engine (1)
- Google Dataflow (1)
- Google Datalab (1)
- Google Grab And Go (1)
- Google Sheets (1)
- Gp2 (1)
- Graph Algorithms (1)
- Graph Databases (1)
- Graph Inferences (1)
- Graph Theory (1)
- GraphQL (1)
- Graphical User Interface (Gui) (1)
- Grid (1)
- Grid Infrastructure (1)
- Griddisk Resize (1)
- Grp (1)
- Guaranteed Restore Point (1)
- Guid Mismatch (1)
- HR Technology (1)
- HRM (1)
- Ha (1)
- Hang (1)
- Hashicorp (1)
- Hbase (1)
- Hcc (1)
- Hdinsight (1)
- Healthcheck (1)
- Hemantgiri S. Goswami (1)
- Hortonworks (1)
- How To Install Ssrs (1)
- Hr (1)
- Httpchk (1)
- Https (1)
- Huge Pages (1)
- HumanEval (1)
- Hung Database (1)
- Hybrid Columnar Compression (1)
- Hyper-V (1)
- Hyperscale (1)
- Hypothesis Driven Development (1)
- Ibm (1)
- Identity Management (1)
- Idm (1)
- Ilom (1)
- Imageinfo (1)
- Impdp (1)
- In Place Upgrade (1)
- Incident Response (1)
- Indempotent (1)
- Indexing In Mongodb (1)
- Influxdb (1)
- Information (1)
- Infrastructure As A Code (1)
- Injection (1)
- Innobackupex (1)
- Innodb Concurrency (1)
- Innodb Flush Method (1)
- Insights (1)
- Installing (1)
- Instance Cloning (1)
- Integration Services (1)
- Integrations (1)
- Interactive_Timeout (1)
- Interval Partitioning (1)
- Invisible Indexes (1)
- Io1 (1)
- IoT (1)
- Iops (1)
- Iphone (1)
- Ipv6 (1)
- Iscsi (1)
- Iscsi-Initiator-Utils (1)
- Iscsiadm (1)
- Issues (1)
- It Industry (1)
- It Teams (1)
- JMX Metrics (1)
- Jared Still (1)
- Javascript (1)
- Jdbc (1)
- Jinja2 (1)
- Jmx (1)
- Jmx Monitoring (1)
- Jvm (1)
- Jython (1)
- K8S (1)
- Kernel (1)
- Key Btp Components (1)
- Kfed (1)
- Kill Sessions (1)
- Knapsack (1)
- Kubeflow (1)
- LMSYS Chatbot Arena (1)
- Large Pages (1)
- Latency (1)
- Latest News (1)
- Leadership (1)
- Leap Second (1)
- Limits (1)
- Line 1 (1)
- Linkcolumn (1)
- Linux Host Monitoring (1)
- Linux Storage Appliance (1)
- Listener (1)
- Loadavg (1)
- Lock_Sga (1)
- Locks (1)
- Log File Switch (Archiving Needed) (1)
- Logfile (1)
- Looker (1)
- Lvm (1)
- MMLU (1)
- Managed Instance (1)
- Managed Services (1)
- Management (1)
- Management Servers (1)
- Marketing (1)
- Marketing Analytics (1)
- Martech (1)
- Masking (1)
- Megha Bedi (1)
- Metadata (1)
- Method-R Workbench (1)
- Metric (1)
- Metric Extensions (1)
- Michelle Gutzait (1)
- Microservices (1)
- Microsoft Azure Sql Database (1)
- Microsoft Build (1)
- Microsoft Build 2019 (1)
- Microsoft Ignite (1)
- Microsoft Inspire 2019 (1)
- Migrate (1)
- Migrating Ssis Catalog (1)
- Migrating To Azure Sql (1)
- Migration Checklist (1)
- Mirroring (1)
- Mismatch (1)
- Model Governance (1)
- Monetization (1)
- MongoDB Atlas (1)
- MongoDB Compass (1)
- Ms Excel (1)
- Msdtc (1)
- Msdtc In Always On (1)
- Msdtc In Cluster (1)
- Multi-IP (1)
- Multicast (1)
- Multipath (1)
- My.Cnf (1)
- MySQL Shell Logical Backup (1)
- MySQLDump (1)
- Mysql Enterprise (1)
- Mysql Plugin For Oracle Enterprise Manager (1)
- Mysql Replication Filters (1)
- Mysql Server (1)
- Mysql-Python (1)
- Nagios (1)
- Ndb (1)
- Net_Read_Timeout (1)
- Net_Write_Timeout (1)
- Netcat (1)
- Newsroom (1)
- Nfs (1)
- Nifi (1)
- Node (1)
- November 10Th 2015 (1)
- November 6Th 2015 (1)
- Null Columns (1)
- Nullipotent (1)
- OPEX (1)
- ORAPKI (1)
- O_Direct (1)
- Oacore (1)
- October 21St 2015 (1)
- October 6Th 2015 (1)
- October 8Th 2015 (1)
- Oda (1)
- Odbcs (1)
- Odbs (1)
- Odi (1)
- Oel (1)
- Ohs (1)
- Olvm (1)
- On-Prem To Azure Sql (1)
- On-Premises (1)
- Onclick (1)
- Open.Canada.Ca (1)
- Openstack (1)
- Operating System Monitoring (1)
- Oplog (1)
- Opsworks (1)
- Optimization (1)
- Optimizer (1)
- Ora-01852 (1)
- Ora-7445 (1)
- Oracle 19 (1)
- Oracle 20C (1)
- Oracle Cursor (1)
- Oracle Database 12.2 (1)
- Oracle Database Appliance (1)
- Oracle Database Se2 (1)
- Oracle Database Standard Edition 2 (1)
- Oracle Database Upgrade (1)
- Oracle Database@Google Cloud (1)
- Oracle Exadata Smart Scan (1)
- Oracle Licensing (1)
- Oracle Linux Virtualization Manager (1)
- Oracle Oda (1)
- Oracle Openworld (1)
- Oracle Parallelism (1)
- Oracle Rdbms (1)
- Oracle Real Application Clusters (1)
- Oracle Reports (1)
- Oracle Security (1)
- Oracle Wallet (1)
- Orasrp (1)
- Organizational Change (1)
- Orion (1)
- Os (1)
- Osbws_Install.Jar (1)
- Oui Gui (1)
- Output (1)
- Owox (1)
- Paas (1)
- Package Deployment Wizard Error (1)
- Parallel Execution (1)
- Parallel Query (1)
- Parallel Query Downgrade (1)
- Partitioning (1)
- Partitions (1)
- Password (1)
- Password Change (1)
- Password Recovery (1)
- Password Verify Function In Postgresql (1)
- Patches (1)
- Patchmgr (1)
- Pdb Duplication (1)
- Penalty (1)
- Perfomrance (1)
- Performance Schema (1)
- Pg 15 (1)
- Pg_Rewind (1)
- Pga (1)
- Pipeline Debugging (1)
- Pivot (1)
- Planning (1)
- Plsql (1)
- Policy (1)
- Polybase (1)
- Post-Acquisition (1)
- Post-Covid It (1)
- Postgresql Complex Password (1)
- Postgresql With Repmgr Integration (1)
- Power Bi (1)
- Pq (1)
- Preliminar Connection (1)
- Preliminary Connection (1)
- Privatecloud (1)
- Process Mining (1)
- Production (1)
- Productivity (1)
- Profile In Edb Postgresql (1)
- Programming (1)
- Prompt Engineering (1)
- Provisioned Iops (1)
- Provisiones Iops (1)
- Proxy Monitoring (1)
- Psu (1)
- Public Cloud (1)
- Pubsub (1)
- Purge (1)
- Purge Thread (1)
- Pythian Blackbird Acquisition (1)
- Pythian Goodies (1)
- Pythian News (1)
- Python Pandas (1)
- Query Performance (1)
- Quicksight (1)
- Quota Limits (1)
- R12 R12.2 Cp Concurrent Processing Abort (1)
- R12.1.3 (1)
- REF! (1)
- Ram Cache (1)
- Rbac (1)
- Rdb (1)
- Rds_File_Util (1)
- Read Free Replication (1)
- Read Latency (1)
- Read Only (1)
- Read Replica (1)
- Reboot (1)
- Recruiting (1)
- Redo Size (1)
- Relational Database Management System (1)
- Release (1)
- Release Automation (1)
- Repair (1)
- Replication Compatibility (1)
- Replication Error (1)
- Repmgr (1)
- Repmgrd (1)
- Reporting Services 2019 (1)
- Resiliency Planning (1)
- Resource Manager (1)
- Resources (1)
- Restore (1)
- Restore Point (1)
- Retail (1)
- Rhel (1)
- Risk (1)
- Risk Management (1)
- Rocksrb (1)
- Role In Postgresql (1)
- Rollback (1)
- Rolling Patch (1)
- Row0Purge (1)
- Rpm (1)
- Rule "Existing Clustered Or Clustered-Prepared In (1)
- Running Discovery On Remote Machine (1)
- SQL Optimization (1)
- SQL Tracing (1)
- SSRS Administration (1)
- SaaS (1)
- Sap Assessment (1)
- Sap Assessment Report (1)
- Sap Backup Restore (1)
- Sap Btp Architecture (1)
- Sap Btp Benefits (1)
- Sap Btp Model (1)
- Sap Btp Services (1)
- Sap Homogenous System Copy Method (1)
- Sap Landscape Copy (1)
- Sap Migration Assessment (1)
- Sap On Mssql (1)
- Sap System Copy (1)
- Sar (1)
- Scaling Ir (1)
- Sccm (1)
- Sccm Powershell (1)
- Scheduler (1)
- Scheduler_Job (1)
- Schedulers (1)
- Scheduling (1)
- Scott Mccormick (1)
- Scripts (1)
- Sdp (1)
- Secrets (1)
- Securing Sql Server (1)
- Security Compliance (1)
- Sed (Stream Editor) (1)
- Self Hosted Ir (1)
- Semaphore (1)
- Seps (1)
- September 11Th 2015 (1)
- Serverless Computing (1)
- Serverless Framework (1)
- Service Broker (1)
- Service Bus (1)
- Shared Connections (1)
- Shared Storage (1)
- Shellshock (1)
- Signals (1)
- Silent (1)
- Slave (1)
- Slob (1)
- Smart Scan (1)
- Smtp (1)
- Snapshot (1)
- Snowday Fall 2021 (1)
- Socat (1)
- Software Development (1)
- Software Engineering (1)
- Solutions Architecture (1)
- Spanner-Backups (1)
- Sphinx (1)
- Split Brain In Postgresql (1)
- Spm (1)
- Sql Agent (1)
- Sql Backup To Url Error (1)
- Sql Cluster Installer Hang (1)
- Sql Database (1)
- Sql Developer (1)
- Sql On Linux (1)
- Sql Server 2014 (1)
- Sql Server 2016 (1)
- Sql Server Agent On Linux (1)
- Sql Server Backups (1)
- Sql Server Denali Is Required To Install Integrat (1)
- Sql Server Health Check (1)
- Sql Server Troubleshooting On Linux (1)
- Sql Server Version (1)
- Sql Setup (1)
- Sql Vm (1)
- Sql2K19Ongke (1)
- Sqldatabase Serverless (1)
- Ssh User Equivalence (1)
- Ssis Denali Error (1)
- Ssis Install Error E Xisting Clustered Or Cluster (1)
- Ssis Package Deployment Error (1)
- Ssisdb Master Key (1)
- Ssisdb Restore Error (1)
- Sso (1)
- Ssrs 2019 (1)
- Sstable2Json (1)
- Sstableloader (1)
- Sstablesimpleunsortedwriter (1)
- Stack Dump (1)
- Standard Edition (1)
- Startup Process (1)
- Statistics (1)
- Statspack (1)
- Statspack Data Mining (1)
- Statspack Erroneously Reporting (1)
- Statspack Issues (1)
- Storage (1)
- Stored Procedure (1)
- Strategies (1)
- Streaming (1)
- Sunos (1)
- Swap (1)
- Swapping (1)
- Switch (1)
- Syft (1)
- Synapse (1)
- Sync Failed There Is Not Enough Space On The Disk (1)
- Sys Schema (1)
- System Function (1)
- Systems Administration (1)
- T-Sql (1)
- Table Optimization (1)
- Tablespace Growth (1)
- Tablespaces (1)
- Tags (1)
- Tar (1)
- Tde (1)
- Team Management (1)
- Tech Debt (1)
- Technology (1)
- Telegraf (1)
- Tempdb Encryption (1)
- Templates (1)
- Temporary Tablespace (1)
- Tenserflow (1)
- Teradata (1)
- Testing New Cassandra Builds (1)
- There Is Not Enough Space On The Disk (1)
- Thick Data (1)
- Third-Party Data (1)
- Thrift (1)
- Thrift Data (1)
- Tidb (1)
- Time Series (1)
- Time-Drift (1)
- Tkprof (1)
- Tmux (1)
- Tns (1)
- Trace (1)
- Tracefile (1)
- Training (1)
- Transaction Log (1)
- Transactions (1)
- Transformation Navigator (1)
- Transparent Data Encryption (1)
- Trigger (1)
- Triggers On Memory-Optimized Tables Must Use With (1)
- Troubleshooting (1)
- Tungsten (1)
- Tvdxtat (1)
- Twitter (1)
- U-Sql (1)
- UNDO Tablespace (1)
- Upgrade Issues (1)
- Uptime (1)
- Uptrade (1)
- Url Backup Error (1)
- Usability (1)
- Use Cases (1)
- User (1)
- User Defined Compactions (1)
- Utilization (1)
- Utl_Smtp (1)
- VDI Jump Host (1)
- Validate Structure (1)
- Validate_Credentials (1)
- Value (1)
- Velocity (1)
- Vertex AI (1)
- Vertica (1)
- Vertical Slicing (1)
- Videos (1)
- Virtual Private Cloud (1)
- Virtualization (1)
- Vision (1)
- Vpn (1)
- Wait_Timeout (1)
- Wallet (1)
- Webhook (1)
- Weblogic Connection Filters (1)
- Webscale Database (1)
- Windows 10 (1)
- Windows Powershell (1)
- WiredTiger (1)
- With Native_Compilation (1)
- Word (1)
- Workshop (1)
- Workspace Security (1)
- Xbstream (1)
- Xml Publisher (1)
- Zabbix (1)
- dbms_Monitor (1)
- postgresql 16 (1)
- sqltrace (1)
- tracing (1)
- vSphere (1)
- xml (1)
- October 2024 (2)
- September 2024 (7)
- August 2024 (4)
- July 2024 (2)
- June 2024 (6)
- May 2024 (3)
- April 2024 (2)
- February 2024 (2)
- January 2024 (11)
- December 2023 (10)
- November 2023 (11)
- October 2023 (10)
- September 2023 (8)
- August 2023 (7)
- July 2023 (2)
- June 2023 (13)
- May 2023 (4)
- April 2023 (6)
- March 2023 (10)
- February 2023 (6)
- January 2023 (5)
- December 2022 (10)
- November 2022 (10)
- October 2022 (10)
- September 2022 (13)
- August 2022 (16)
- July 2022 (12)
- June 2022 (13)
- May 2022 (11)
- April 2022 (4)
- March 2022 (5)
- February 2022 (4)
- January 2022 (14)
- December 2021 (16)
- November 2021 (11)
- October 2021 (7)
- September 2021 (11)
- August 2021 (6)
- July 2021 (9)
- June 2021 (4)
- May 2021 (8)
- April 2021 (16)
- March 2021 (16)
- February 2021 (6)
- January 2021 (12)
- December 2020 (12)
- November 2020 (17)
- October 2020 (11)
- September 2020 (10)
- August 2020 (11)
- July 2020 (13)
- June 2020 (6)
- May 2020 (9)
- April 2020 (18)
- March 2020 (21)
- February 2020 (13)
- January 2020 (15)
- December 2019 (10)
- November 2019 (11)
- October 2019 (12)
- September 2019 (16)
- August 2019 (15)
- July 2019 (10)
- June 2019 (16)
- May 2019 (20)
- April 2019 (21)
- March 2019 (14)
- February 2019 (18)
- January 2019 (18)
- December 2018 (5)
- November 2018 (16)
- October 2018 (12)
- September 2018 (20)
- August 2018 (27)
- July 2018 (31)
- June 2018 (34)
- May 2018 (28)
- April 2018 (27)
- March 2018 (17)
- February 2018 (8)
- January 2018 (20)
- December 2017 (14)
- November 2017 (4)
- October 2017 (1)
- September 2017 (3)
- August 2017 (5)
- July 2017 (4)
- June 2017 (2)
- May 2017 (7)
- April 2017 (7)
- March 2017 (8)
- February 2017 (8)
- January 2017 (5)
- December 2016 (3)
- November 2016 (4)
- October 2016 (8)
- September 2016 (9)
- August 2016 (10)
- July 2016 (9)
- June 2016 (8)
- May 2016 (13)
- April 2016 (16)
- March 2016 (13)
- February 2016 (11)
- January 2016 (6)
- December 2015 (11)
- November 2015 (11)
- October 2015 (5)
- September 2015 (16)
- August 2015 (4)
- July 2015 (1)
- June 2015 (3)
- May 2015 (6)
- April 2015 (5)
- March 2015 (5)
- February 2015 (4)
- January 2015 (3)
- December 2014 (7)
- October 2014 (4)
- September 2014 (6)
- August 2014 (6)
- July 2014 (16)
- June 2014 (7)
- May 2014 (6)
- April 2014 (5)
- March 2014 (4)
- February 2014 (10)
- January 2014 (6)
- December 2013 (8)
- November 2013 (12)
- October 2013 (9)
- September 2013 (6)
- August 2013 (7)
- July 2013 (9)
- June 2013 (7)
- May 2013 (7)
- April 2013 (4)
- March 2013 (7)
- February 2013 (4)
- January 2013 (4)
- December 2012 (6)
- November 2012 (8)
- October 2012 (9)
- September 2012 (3)
- August 2012 (5)
- July 2012 (5)
- June 2012 (7)
- May 2012 (11)
- April 2012 (1)
- March 2012 (8)
- February 2012 (1)
- January 2012 (6)
- December 2011 (8)
- November 2011 (5)
- October 2011 (9)
- September 2011 (6)
- August 2011 (4)
- July 2011 (1)
- June 2011 (1)
- May 2011 (5)
- April 2011 (2)
- February 2011 (2)
- January 2011 (2)
- December 2010 (1)
- November 2010 (7)
- October 2010 (3)
- September 2010 (8)
- August 2010 (2)
- July 2010 (4)
- June 2010 (7)
- May 2010 (2)
- April 2010 (1)
- March 2010 (3)
- February 2010 (3)
- January 2010 (2)
- November 2009 (6)
- October 2009 (6)
- August 2009 (3)
- July 2009 (3)
- June 2009 (3)
- May 2009 (2)
- April 2009 (8)
- March 2009 (6)
- February 2009 (4)
- January 2009 (3)
- November 2008 (3)
- October 2008 (7)
- September 2008 (6)
- August 2008 (9)
- July 2008 (9)
- June 2008 (9)
- May 2008 (9)
- April 2008 (8)
- March 2008 (4)
- February 2008 (3)
- January 2008 (3)
- December 2007 (2)
- November 2007 (7)
- October 2007 (1)
- August 2007 (4)
- July 2007 (3)
- June 2007 (8)
- May 2007 (4)
- April 2007 (2)
- March 2007 (2)
- February 2007 (5)
- January 2007 (8)
- December 2006 (1)
- November 2006 (3)
- October 2006 (4)
- September 2006 (3)
- July 2006 (1)
- May 2006 (2)
- April 2006 (1)
- July 2005 (1)
Comments (1)