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There are a lot of reasons to use SQL Relay, but one of the most popular is just to improve throughput, usually measured in queries-per-second.

So much time, in fact, that transient apps (such as web-based applications) which start up, connect, query, disconnect, and shut down to deliver each bit of content, often take longer to log in than to run the queries. Database entity As a result, overall throughput (queries-per-second) is generally low unless many queries are run per connection.

SQL Relay maintains a pool of already-logged-in database connections, and logging in to a connection pool is substantially faster than logging into the database directly.

As a result, overall throughput (queries-per-second) should be maximized, and shouldn’t depend nearly as much on the number of queries that are run per connection.

Anecdotally this is the case and informal testing has always confirmed it. Database developer But, I wanted hard data and pretty graphs to prove it. Data recovery plan Also, it had been a long time since I’d done any formal performance testing. Data recovery kansas city For all I knew, I’d done something recently to make everything run horribly. N k database sqlr-bench

Of course there are popular tools for benchmarking apps and databases. Data recovery 2016 JBench, for example. 510 k database fda But they all use intermediate layers – JDBC, ODBC, web pages… Database programmer I wanted raw comparisons: the database’s native API vs. Data recovery osx SQL Relay’s native API. Database integrity I also wanted it to be easy to run from the command-line, and automatable.

Months ago, I’d begun writing a program called “sqlr-bench” which aimed to run a battery of tests against the database directly, run the same tests through SQL Relay, collect stats, and produce a graph. Database backup It had to support every database that SQL Relay supported. Hollywood u database It needed a dozen or more tunable paramters… Data recovery ipad It was a fairly ambitious project. Database vs server I started and stopped work on it several times but I eventually got it working well enough.

It creates a table, populates it, and runs a series of selects. Database is in transition First it runs 1 select per connection, then 2 per connection, then 3, etc. Data recovery ios It times all of this and calculates queries-per-second as a function of queries-per-connection. Database data types The whole process is done first against SQL Relay, and then directly against the database. Data recovery johannesburg The data is then correlated and gnuplot is used to produce a graph.

• …against the database directly: The number of queries-per-second should increase steadily as the number of queries-per-connection increases. Iphone 5 data recovery software It should start off to be pretty bad, then get better and better, and eventually level off so that running more queries-per-connection doesn’t make any more difference.

• …against SQL Relay: The number of queries-per-second should be independent of the number of queries-per-connection, and should be roughly the same as the maximum number of queries-per-second that can be run against the database directly.

Performance against the database directly was exactly as I expected, and it generally seemed to level off at about 20 queries-per-connection.

SQL Relay actually does have a small ramp-up period (2 or 3 queries per-connection is slower than 4 or more), which I didn’t expect, but the number of queries-per-second were otherwise uncorrelated with the number of queries-per-connection, which I did.

Overall though, SQL Relay did not immediately perform as well as I expected. Database operations In fact, for most databases, there was a “break-even” between 5 and 10 queries per-connection.

While apps that use SQL Relay would still likely perform better than if run directly against the database (how many web pages run more than 5 queries that return 256 rows each), I really expected it to perform better. Database index Tweaks

In most cases, things just needed to be reused instead of reallocated. Database crud Everything from database cursors to byte arrays. Drupal 8 database I replaced a few regular expressions with simple string compares, and made a few case-insensitive string compares case-sensitive. Data recovery disk There were also some alignment and padding issues that prevented optimized strcpy/memcpy from being used. Database 3 tier architecture My socket buffer sizes were sub-optimal…

I checked the code over and over to make sure my test program was legitimately running queries and not just erroring out or something. Data recovery orlando It was. Database cardinality Why is it so much faster than everything else? Strace showed that the socket is in non-blocking mode and that they do a poll() then read(), basically blocking manually rather than doing a blocking read. Database unit testing My preliminary tests with a similar strategy didn’t show much improvement with that over a blocking read though. I data recovery software free download Non-blocking poll()/read() is a good way to multiplex reads through a single thread, but if you’re only reading from one socket at a time, I wouldn’t expect it to help at all.

I ran tests with SQL Relay on a server between the client and database too. O review database The results were similar, but there was more of a ramp-up. Database in recovery I should publish those results too. Data recovery wizard professional Test Environment

To perform these tests, I configured 2 Fedora Linux VMware VM’s. Data recovery open source One for the databases and one to run SQL Relay. Gif database Both VM’s had 1 CPU. Data recovery lifehacker The database VM had 2Gb of RAM. Top 10 data recovery software 2014 The SQL Relay VM had 512MB.

The sqlr-bench program can be found in the test/bench directory of the SQL Relay distribution. Database gale It must be run from that directory. Database life cycle I ran it with default parameters. Data recovery dallas There’s a script there too, which starts and stops the appropriate SQL Relay instances and runs sqlr-bench. Data recovery usb I actually used that script rather than running the tests individually.

The client APIs has been stable for a long time. Database 4th normal form The server APIs have been stable for long enough. V database in oracle Recent efforts during the past few releases updated the internal structure such that significant internal changes can be made without affecting the API or ABI. Data recovery tampa Yes, it’s definitely time for a 1.0.0 release.

Of course, no project is ever feature-complete. R studio data recovery with crack There are still plenty of tasks in the backlog, but it should be possible to implement most, or all, of them without breaking the API and ABI. Database uses New Features

The most noticeable new feature in this release is that all DB abstraction layer drivers support the same set of connect-string options, including TLS and Kerberos options, as well as columnnamecase, resultsetbuffersize, dontgetcolumninfo, nullsasnulls, and lazyconnect options. Database history The options are named subtly differetly for each driver, following the conventions for the DB abstraction layer, but all options are present. Database b tree Changes

The most outwardly noticeable change is that column names are case-sensitive now when getting a field by name. Database optimization The docs never promised case insensitivity, and the performance improvement is notable. Data recovery software reviews Also, there are options for upper and lower-casing column names, if you need them to be converted one way or the other.

Another semi-noticeable changes is the removal of calls to mysql_stmt_store_result/mysql_stmt_num_rows in the mysql database connection module. Cnet data recovery Actually the removal of them isn’t the noticeable part. Database systems Rather, that since they have been removed, the row count is no longer available immediately, if a result-set-buffer-size is being used. Data recovery for mac This is consistent with almost all other databases though, and by default, no result-set-buffer-size is used.

Another, nearly unnoticeable change, is that by default now, connections start with 1 cursor, but will scale up, on-demand, to 5 cursors. Data recovery damaged hard drive Of course, maxcursors can be set higher or lower than 5, but it defaults to 5.

• solved a long-standing hang that could occur if the database password expired while sqlrelay was running, and the sqlr-scaler attempted to start new connections

• added support for db, debug, columnnamecase, dontgetcolumninfo, nullsasnulls, and lazyconnect connect-string options to all drivers (though in some they are camel-case and others lower-case)

• in DB-abstraction-layer drivers, the debug, dontgetcolumninfo, nullsasnulls, lazyconnect, krb, and tls connect-string options now support any yes/no equivalent such as yes, Yes, y, Y, true, True, 1, (and similar for no)

• removed calls to mysql_stmt_store_result/mysql_stmt_num_rows from mysql connection to improve performance. Database builder mysql connection doesn’t know the total number of rows prior to full fetch now (which is consistent with most other databases).

SQL Relay Enterprise Modules provide advanced features not available in the standard SQL Relay distribution. Data recovery cnet MySQL Front-End Modules are now available.

MySQL Front-End Modules allow MySQL applications to use SQL Relay without modification and without a drop-in replacement library. Database log horizon Additional SQL Relay Enterprise Modules are coming soon. Data recovery raid MySQL Front-End Modules

Whether written using the native MySQL API, or a connector of some sort, MySQL apps communicate with the database using the MySQL client-server protocol.

Whether written using the native SQL Relay API, or a connector of some sort, SQL Relay apps generally communicate with SQL Relay using the SQL Relay client-server protocol.

However, the MySQL Front-End Modules enable SQL Relay to speak the MySQL client-server protocol. Database design for mere mortals This allows MySQL apps to communicate directly with SQL Relay, rather than to a MySQL database, without modification, and without using a drop-in replacement library.

In this configuration, SQL Relay becomes a transparent proxy. Database hardening MySQL apps aimed at SQL Relay still think that they’re talking to a MySQL database, but in fact, are talking to SQL Relay.

Once the app is talking to SQL Relay, most of SQL Relay’s features become available to the app, including Connection Pooling, Throttling, High Availability Features, Query Routing, Query Filtering, and Connection Schedules.

Since SQL Relay supports a variety of database backends, the app can also be redirected to any of these databases, instead of the MySQL database it was originally written to use.

Some queries may have to be modified to use the syntax of the new database and some code may need to be changed, but a full rewrite of the app should not be necessary.

Currently, the MySQL Front-End Modules are available for RPM-based Linux and must be used with the SQL Relay Binary Distribution For Linux. Data recovery linux distro Support for non-RPM-based Linux and Windows will be available soon.

The MySQL Front-End Modules (and eventually, other SQL Relay Enterprise Modules) may be downloaded for free, but must be licensed commercially. Data recovery key 30-day trial licenses are also available.

Of course, the standard SQL Relay distribution, which the SQL Relay Enterprise Modules compliment, is still free to download and to use, as always.

See the following links for more information. Data recovery macbook Installing the SQL Relay Enterprise Modules Licensing the MySQL Front-End Modules Configuring the MySQL Front-End Modules