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Service Broker Demystified - [DEFAULT] is not the DEFAULT

Contracts and Message Types have defaults, but the default is not [DEFAULT].  This leads to confusion to folks new to Service Broker.  In this post I'll clear up the confusion and give you some tricks to keep things clear.  


People tell me all the time that they don't want to use Service Broker because it is too confusing.  I started a blog series called Service Broker Demystified to dispel these misconceptions.  Today we are going to cover the [DEFAULT] objects, which are not really default objects...sometimes. 

Service Broker Demystified - SET ENABLE_BROKER vs NEW_BROKER

Service Broker can be really confusing and causes data professionals to shy away from using it.  One example is setting up SSB.  It's easy, until you need to make a copy of your database.  Then the fun begins.  In this post I'll explain when you want to use ENABLE_BROKER vs SET NEW_BROKER.

Service Broker Demystified - Encryption Weirdness

Encryption is one of those things that makes Service Broker difficult to learn.  To set up encryption correctly is a lengthy process.  There are ways to safely not use encryption.  In this post I'll show you all of the issues with encryption in SSB and how to avoid and fix the problems.  

Service Broker Demystified Series

This blog series will focus on the common complaints I hear about SQL Server Service Broker...namely that it is too confusing for a data professional to master.  The fact that there is no (good) GUI or monitoring tools doesn't help either.  In this series I'll try to simplify things and explain why things work the way they do.  SSB is a really great technology and I find new uses for it almost every day.  

Upgrading Vertica

In my blog posts Installing Vertica 7 and Vertica Installation Prereqs I covered installing Vertica 7.0.1 Community Edition.  Since then Vertica 7.0.2 has been released as well as 7.1 EE (Dragline) which has some compelling features like Live Aggregate Projections which are great for "pre-materializing" queries that rely on aggregations (SUM, COUNT, MIN/MAX) that can cause excessive IO under Vertica.  Unfortunately there is no CE edition of 7.1 yet.  Regardless, you can still upgrade to 7.0.2.  
 
I have been tasked with upgrading our 7.0.1 installations to 7.0.2 so I thought I would document the process.  I'm going to give the unabridged version of the upgrade steps, please refer to my previous posts here and here that should fill in the gaps if anything is unclear.  If you are not sure what version of Vertica you are running you can run select version().  
 
Prerequisites
  1. Download Vertica 7.0.2.1 (which is the latest CE as of this writing) from my.vertica.com.  You will need to do this from your laptop.  wget and curl likely won't work.  
  2. Copy the .deb file (assuming Ubuntu) to your sudoer's (root or equivalent) home directory.  Here's an example command using pscp: pscp <location of .deb file> <user>@<ip>:<path on ubuntu>
  3. Take a backup.  
  4. Plan for 2-4x as much catalog space as you currently utilize during an upgrade.  du -h /home/dbadmin/<db>/<node>_catalog/Catalog.  
  5. Find the options you used when you last installed or upgraded Vertica.  nano /opt/vertica/config/admintools.conf.  Search for "install_opts" which will detail the options you used previously.   This is an important step...if you accidentally choose a different set of options when you upgrade then you may find that Vertica stops working due to mismatched components.  Note the install_opts for later.  You do not need to note the -s or --hosts parameters (more on why later).  

Upgrade Process

  1. As dbadmin, stop the database.  One way is the following:  /opt/vertica/bin/admintools --tool stop_db -d VMart -p <password> 
  2. As a sudoer, from any host in the cluster run the new .deb file (Vertica will take care of ensuring it is copied and installed to every other host for you):  sudo dpkg -i /home/dbadmin/<file>.deb 
  3. As a sudoer, run update_vertica with the install_opts noted earlier, substituting the new .deb name for the old one.  You do not need to pass the --hosts or -s parameters...those are automatically determined by the installer based on the current hosts in the cluster, which may differ from the hosts that existed when you last installed/upgraded Vertica.  Here's an example command:  sudo /opt/vertica/sbin/update_vertica --hosts <IPs> --deb /home/<deb file> -L CE -accept-eula
  4. As dbadmin, start your database /opt/vertica/bin/admintools --tool start_db -d VMart -p <password>

Similar to SQL Server, a database is upgraded when it is first started in Vertica...so expect the initial startup to take a bit longer than normal.  Remember, this needs to upgrade the data files and catalog on ALL nodes in your cluster.  At this point you may want to verify that you actually DID upgrade your database...note that my db is now reporting 7.0.2-1.  

Now would be a good time to take another backup.  

Additional Notes

If you encounter errors that you feel you can safely skip then you can always use the --failure-threshold option.  I recently wrote a blog post on this.  

Lastly, you may have to upgrade supporting packages as well, such as MC.  Check your documentation.  

 


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Workaround: Vertica Error: This version of Debian or Ubuntu is unsupported

I google'd around for hours and couldn't find an answer to this problem so hopefully this post will help someone else.  

If you use Ubuntu and Vertica then you probably know that the only supported release of Ubuntu is 12.04 LTS.  I have no idea why 14 isn't supported or when it will be supported.  This is problematic if your company has standardized on 14 or if you have Puppet scripts that are geared toward 14, you just have an affinity for 14, etc etc. If you try to install/upgrade Vertica on a 14 box you'll see the following error: 

Error:  failed to get system information for all hosts
This version of Debian or Ubuntu is unsupported.  
Hint: additional failures may be hidden.
Installation FAILED with errors.

I've yet to find a good way to get around this on google.  Here are the two methods I've used.  Hint:  use the second method...it's safer.  Do  not use this on a production Vertica installation.  That wouldn't be very wise.  

Use --failure-threshold NONE

If you use this switch then install_vertica (or upgrade_vertica...which calls install_vertica under-the-covers) will not fail for ANY errors.  You'll get a nice list of failures that you can then go and fix manually if desired:  

If you use --failure-threshold NONE then don't be surprised if Vertica won't start.  (Take your backups first if upgrading).  

Change SystemProfileFactory.py to ignore the Ubuntu OS check

This is much safer, but still...don't do it on your prod cluster.  Do all of this as root or equivalent.  

  1. Determine your OS version as reported by Ubuntu.  nano /etc/debian_version .  You'll see something similar to the screenshot.  Note the value returned.  It should be "jessie" for 14.  
  2. Modify the python script.  sudo nano /opt/vertica/oss/python/lib/python2.7/site-packages/vertica/network/SystemProfileFactory.py 
  3. Ctl+W (for WhereIs), then "wheezy" (wheezy is the codename for Ubuntu 12.04 LTS).  
  4. Replace "wheezy" with "jessie".  See the screenshot.  
  5. Ctl+O (for Writeout)
  6. Ctl+X (to exit)
  7. Rerun update_vertica or install_vertica as required.  

Again, these tips should not be done on prod.  I like all of my Ubuntu boxes to be on 14 which makes my Puppet scripts easier to control.  I've found no issues using Vertica with Ubuntu14 (in testing envs).  I've also found no issues using LVM or ext3 either, which also causes the profile checks to fail as well.  See above.  

YMMV.


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Basic Vertica DBA Tasks

In this post in my Vertica series I'm going to cover some basic DBA tasks that you need to handle.  This is not a comprehensive list, just the absolutely critical items.  I've noticed that in many shops running "newer" database managers (especially NoSQL variants) that the developers are also responsible for administration tasks.  There just aren't that many full-time DBAs for these newer products.  The mindset of many NoSQL vendors is that you don't need a DBA...the system is self-healing and auto-tunable.  Vertica doesn't spew that mantra (that I've seen anyway)...however, there is no good reading material geared solely for the administration of Vertica either.  

Basic DBA tasks for any DBMS

These are the tasks that I feel are critical for any DBA, regardless of database platform:  

  1. Installing and upgrading the DBMS.  I already covered installing in nodetitle.  We'll cover upgrading Vertica and the underlying OS in a future post. 
  2. Backup/Restore.  I handled this in my post Vertica Backups.  
  3. Recovery.  This is slightly different than backup/restore in my mind.  When a DBMS comes up after a crash it will likely need to perform some sort of "recovery".  Every DBMS handles this differently.  Some are completely automated, some require manual intervention.  Vertica handles this automatically.  If you've handled k-safety properly then whenever a node comes back online (for whatever reason) Vertica will automatically recover it by copying data from other nodes.  This really eliminates the need for restoring data due to hardware or software failure...you only really need to restore a db when you need to create a new, copied environment or when you've accidentally committed bad data.  
  4. Reviewing the Logs.  Any good DBA should be reviewing the available DBMS logs periodically.  You can see partial logs in the Message Center in MC.  However, if you read the logs directly you can begin to think up methods to automate log management.  The two most important logs are vertica.log and dbLog.  To view these in Linux you use the tail command.  tail -f <catalog_path>/vertica.log and tail -f <cdb_path>/dbLog.  vertica.log will log almost any activity that the database manager performs.  dbLog will list just those messages specific to the database.  The former is almost unusably verbose (automation is your friend)...so the latter is what you really should be checking frequently.  
  5. Authentication and Authorization.  Vertica follows the DCL syntax of the ANSI standards and most DBMS vendors.  You can always use MC to handle your ANA needs.  
  6. Auditing.  Auditing is very specific to every organization.  Some have strict requirements, others don't care.  Good DBAs, even if auditing is not a functional requirement, audit various events if for no other reason than trending.  Vertica has rich auditing facilities...I simply know very little about them.  Sorry.  
  7. Performance Management.  I'll cover this in the next blog post Basic Vertica Performance Management Tasks.  
  8. Resolving connectivity issues.  Vertica is similar to SQL Server in this regard.  You must know the servername (clustername), database name, port, and user/password (if not using OS authentication).  Vertica clients connect to a built-in load balancer via a VIP (virtual IP) that is shared across Vertica cluster nodes.  This ensures that if a node fails clients can still work.  This is similar to a SQL Server cluster.  The IP Virtual Server (IPVS) is the load balancer in Vertica and it even allows adding and removing nodes on a running cluster without interrupting users.  This type of load balancer is akin to "round robin" which means that any single node can be handling inordinately more activity just through dumb luck.  Vertica also has "native connection load balancing" that is disabled by default but can actually ensure that CPU and memory overhead is honored across nodes too.  The caveat is that you have to use Vertica's client libraries and it takes a bit more work to set up.  
  9. License Management.  HP licenses Vertica by the size of the raw (uncompressed) data in the tables.  This doesn't include projection data, temp tables, the WOS (we'll cover that in a future post), or data not yet purged by TM (covered in the future too).  If your db's size nears the licensed limit you'll see warnings in admintools and vsql.  You need to then either upgrade your license or purge some data.  The beauty is that Vertica never just shuts down.  The most visible problem is that your queries will return a status code of SUCCESS_WITH_INFO instead of just SUCCESS.  If you code for that scenario then you can save yourself some grief.  You can run SELECT get_compliance_status(); to determine your licensing compliance.  

There are certainly other DBA tasks that could be added to this list, but this list comprises the absolute basics to be an entry-level Vertica DBA.  


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Vertica Concurrency and Isolation Semantics

This is a brief blog post in my Vertica series covering how Vertica handles concurrency and isolation.  

Vertica supports the four standard SQL isolation levels (READ COMMITTED, READ UNCOMMITTED, REPEATABLE READ, and SERIALIZABLE).  However, it really only honors READ COMMITTED and SERIALIZABLE.  READ UNCOMMITTED is mapped to READ COMMITTED and REPEATABLE READ is up-sized to SERIALIZABLE.  So, if your app is, for some reason, sensitive to isolation levels, beware. This shouldn't affect the query workloads that Vertica targets, which is read-intensive data warehouse workloads (with a high amount of concurrent data loading). In a future post I'll cover how Vertica is architected such that it can handle massive data loads without affecting online query concurrency.  

Vertica supports SQL92-style implicit transactions.  This means that you don't really need a BEGIN TRAN clause, although you can certainly do that.  It supports SAVEPOINTs and ROLLBACKs in a manner that is semantically identical to SQL Server.

Snapshot Isolation
Vertica has the ability to run queries in snapshot isolation mode similar to SQL Server. It is still READ COMMITTED under the covers. The trick is to preface your queries with AT EPOCH LATEST (or a given time) to your query. When you do this you instruct Vertica to fetch the committed data as of the time the query started. Essentially you are querying a snapshot, although you don't need to create or declare the snapshot like you do in SQL Server. These queries should have the fastest possible execution. Essentially you will hold no locks and won't block write ops.  EPOCHs are advanced when new data is committed.  

Vertica written with AT EPOCH clauses are called "historical queries".  

More on Epochs

Let's take a deeper dive into epochs.  

Vertica's SQL dialect doesn't have a name (such as T-SQL or PL/SQL) that I am aware of.  Vertica's SQL is based off Postgres but it is a very limited subset of functionality.  It's syntactically similar to TSQL and follows most of the ANSI SQL standards.  it has CTE's (although not recursive), derived tables in FROM clauses, subqueries (correlated and non-correlated), etc etc.  You terminate all SQL statements with a semicolon.  

Vertica's SQL does not support variables.  The vsql utility supports host-like environment variables but that is useless if using DBeaver or embedding SQL in Java.  Instead you have to use a native programming language and handle your variablization there.  Because there are no variables I have this script mostly hardcoded for my test environment.  

select current_epoch from system; will show you the equivalent of the LSN for your system.  Whenever the next commit occurs it will, in this case, be 957.  This is a system-wide, not connection-specific, value.  

The epochs table will show you the current epochs that you can query against.  The oldest listed, in this case 956, is the oldest that can be queried and is called the Ancient History Mark (AHM).  

Note that creating a table does not advance the current_epoch.  However, when we INSERT a row into a table, and commit it, we do advance the current_epoch.  

The epochs table now shows that we are able to query two different epochs.  The AHM has not advanced.  

Just a quick note, similar to the bash shell or the autocomplete feature in SSMS if you type the first few letters of a command or object and then hit tab you can either autocomplete the command or the shell will give you a list of suggestions for you to continue typing if there are multiple possibilities.  In this case I typed "pub" and then tab and vsql showed me all contextual values that would be available for autocompletion...in this case objects in the public schema.  

After entering another row my current_epoch has again advanced and I can now query 3 different epochs.  

A basic SELECT against our table will show two rows.  

Now I can use the AT EPOCH statement, prepended to the SELECT to see the data at various snapshots in the past.  

If I choose EPOCH 955 I generate an error since that EPOCH is no longer available.  

EPOCH 956 shows me no rows.

EPOCH 957 shows me one row.

EPOCH 958 shows me two rows.  

If I try to query the current_epoch (959) I also generate an error.  

I forgot to grab a screenshot but AT EPOCH LATEST, in this example would be functionally equivalent to EPOCH 958.  AT EPOCH LATEST is assumed when the AT EPOCH clause is omitted.  It is functionally equivalent to saying, "show me all committed data as of the start of this query".  

To reiterate I can now query 3 epochs.  If you try this on your own you have to run your queres quickly...

...because if you wait about a minute you'll notice that your list of available epochs is automatically reduced.  I show the current_epoch to show you that this is a quiet system and I have done no backups, delete statements, or anything else to advance the current_epoch...this is a quiet system.  

Epochs, be default, will be available for about a minute until the Tuple Mover process comes along and cleans up older epochs.  This is totally configurable and we'll cover it more in a future post.  

Epochs is the implementation that allows Vertica to have a READ COMMITTED SNAPSHOT implementation.  You are always querying against the latest epoch if you don't specify an epoch.  Any currently executing INSERTs, UPDATEs, or DELETEs will be in the current_epoch (and there may be multiple if you are running concurrent data modifications) and are not available for querying outside of the current session scope.  

If you think about this, epochs are functionally equivalent to READ COMMITTED SNAPSHOT, it's simply a different implementation.  This is one reason why I enjoy Vertica...it helps me understand other database managers and their implementations of things such as concurrency and isolation management.  


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Vertica Backups

Today's blog post in my Vertica series is about Vertica backups.  Vertica stores its data in a series of many files.  Once a file is written it is never modified.  Data updates are handled as deletes-followed-by-inserts and the deleted data is "logically deleted" via delete vectors.  Deleted data is removed when the final results from each node are merged.  This makes backups very simple...you just back up the files in the data directory.  

Backing up Vertica databases is roughly equivalent to a "hot backup" in Oracle (there are separate configuration backup utilities for MC and even admintools).  Vertica provides you with a python script that gives you a bunch of options to make life simple...vbr.py.  In order to use the Vertica backup tools your db must be up and running.  Essentially vbr.py make copies of your Vertica files to another storage area.  The scripts are written such that the files are transactionally consistent and have minimal locking overhead on the running Vertica system.  

There are no transaction logs in Vertica.  There is nothing equivalent to rollback segments or redo logs in Oracle.  In a later blog post I'll cover how Vertica maintains transactional consistency without something akin to transaction logs.  Also remember that your data is sharded across many nodes.  Vertica manages all of that for you as well.  In the worst case scenario Vertica will require you to run recovery on a node if it gets out-of-sync for whatever reason.  Even this is an automated process.  Even though data is sharded across nodes Vertica is not "eventually consistent".  All queries are transactionally-consistent.  Again, I'll cover how this is handled in a later post.  

Vertica backup utilities

As mentioned before, you can always roll your own scripts to copy the data directory on your node to somewhere else.  rsync is great for this.  Newer versions of Vertica provide better utilities to handle this for you.  

  • backup.sh and restore.sh are the original Vertica-supplied bash scripts.
    • these can be found in /opt/vertica/scripts
    • these use ssh and rsync to copy the data files, catalog, and configuration files to another area.  
    • the restore script takes a similar set of arguments but shuts down your db first, copies the data, then bootstraps your db.  
    • All backups are always done by node so any data that changed since backup.sh was run is recovered automatically from other nodes (assuming the db is k-safe).  
    • With Release 5.1 Vertica deprecated these scripts which, although they still work, are unsupported.  
  • vbr.py is the replacement and is fully-supported by HP.  This is a Python script located in /opt/vertica/bin.
    • Fundamentally backups and restores are still handled via rsync and ssh.  
  • Roll your own scripts.  None of these utilities are documented as being available on Community Edition but they are there.  I'm not sure if HP changed its mind and simply forgot to update the documentation to reflect this fact.  (This is also the case with FlexTables which we'll cover in a future blog post).  How do you roll your own scripts?
    • Create a tarball of your /opt/vertica directory (google can help with this).  Then copy the file to a safe place.  The script I use (which I'm reluctant to share just in case my testing is lax...I don't want to be responsible for your data loss) does something like this:  tar -czvf /tmp/vertica.tgz /opt/vertica

More on vbr.py

There are lots of nifty features in vbr.py other than simple node backups and restores.  For instance, besides full backups we can also take incremental and snapshot backups, as well as backups of specific schemas and tables (helpful if you do multi-tenancy in Vertica).  You can also use vbr.py to copy a database to another cluster (a non-prod staging cluster for example).  Let's look at some of these.  

vbr.py --setupconfig

This launches a pseudo-wizard that generates a configuration file for subsequent backup/restore tasks.  The benefit of taking backups this way is that the restore occurs using the same configuration file.  This makes it harder to screw things up.  

/opt/vertica/bin/vbr.py --setupconfig

This will provide you with the following options...  

...but it will not actually take a backup.  Rather it saves the backup configuration to the ini file.  Let's take a look at that. Note that all of the options chose are saved.  Note that I am backing up to any other Linux-based host (or really any host that can support ssh, rcopy, and scp).  When I actually run the backup I must ensure that the path exists on the remote backup host, in this case /home/dbadmin/backup.  

We can now run the backup using the config file:  

vbr.py --task backup --config-file MyBackup.ini

As mentioned earlier this is essentially copying all of the relevant data from your data and catalog directories.  

 

Here you'll note that Vertica wants you to verify that you really trust this remote backup host.  

 

 

 

 

 

Again, all vbr.py is doing is copying all files and directories under data and catalog to your backup location under the MyBackup folder which corresponds to the .ini file you used for your backup:  

You can have many different configuration files for different backup purposes, but hopefully you get the general idea.  

Database Restores

You can restore using your config file as well.  To restore a full db:  

  • the "target" database must be down.  
  • The cluster "target" must also be down.  
  • The cluster "target" must also have the same number of nodes as the "source" of the backup.  In other words, you can't backup a 5 node cluster and restore it on a 4 node cluster.  You have to have the same number of nodes...the restore process will node juggle segmentation for you to reduce k-safety.  Remember, the restore process is merely copying files from the backup host to the cluster nodes.  
  • Node names and IP addresses must be the same on the target cluster.  

To copy a database to another cluster

vbr.py --task copycluster --config-file

This is essentially a backup/restore in one atomic operation.  The data and catalog paths must be identical.  In the configuration file you specify the mappings of nodes in the source/target clusters.  The target cluster must be down.  

So, this is just like a standard restore except you are mapping old node names to new node names.  

 


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Developing with Vertica

When you first begin developing with any new database manager the hardest part is establishing connectivity.  Let's assume you just want to connect to Vertica from your laptop using something a little bit nicer than vsql over ssh.  As I mentioned previously, Vertica has no native GUI query tool.  In this post we'll cover everything you need to know to start exploring VMart from a modern, GUI-based query tool.  

GUI-based universal database clients

There are a ton of FOSS (free and open source) universal database clients.  A universal db client can connect to any database that has a driver for the data access platform that the universal client was written for.  Most universal db clients are java-based so if there is an available JDBC driver then you can connect.  Using a universal db client is a great way to learn NoSQL since most NoSQL products have JDBC drivers.  The theory is that if you learn the universal db client you should be able to learn any underlying database manager.  

I prefer to use a universal db client that is similar in commands and functionality to SSMS.  I think the best tools are DBeaver and SQuirreL. Both are java-based and are easier to setup, frankly, than SSMS.  Initially I used SQuirreL but that seemed to be more prone to crashing and was a bit of a memory hog.  It's a fine tool but I'm not going to cover it in this blog post.  Feel free to explorer on your own.  

DBeaver

I then tried DBeaver (pronounced dee beaver and is a play on SQuirreL).  I'm hooked.  In 2 minutes I was connecting to SQL Servers, Oracle, Vertica, and Cassandra in different DBeaver windows.  How cool is that?  

DBeaver is completely non-commercial and open-source, however I can't find the exact type of open source license that is used.  You can download the source or a standard Windows installer.  It is best to download the Enterprise Edition which also includes modules designed for some NoSQL products.  EE is also free.  

Once downloaded and installed you need to tell DBeaver which database manager you want to connect to.  The screenshot to the right shows all of the different database managers that DBeaver can work with.  Obviously we are going to choose Vertica on this screen.  

If you haven't installed Vertica drivers on your laptop yet DBeaver gives you an opportunity to automatically do this.  DBeaver automatically detects that you have no JDBC Vertica drivers installed and offers to install them for you.  

 

You should now see the following screen:  

Similar to SQL Server you need to know the host, dbname, and user/password that you want to connect to.  Like SQL Server if you don't have the SQL Browser service running on your SQL Server, you will need to know the listening port.  By default Vertica uses 5433.  

If you are unsure of your listening port you can run nano VMART/port.dat as dbadmin.  

Once you have that you should be presented with the Database Navigator which is similar to SSMS's Object Explorer.  

From here you can run queries and visually explore your Vertica database.  Within 5 minutes you can install DBeaver and connect to VMart and issue your first query.  I don't know how it could be any easier than that.  


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