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Test appellation : MySQL 5.6 Developer
Vendor appellation : Oracle
: 100 real Questions

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Oracle MySQL 5.6 Developer

MySQL 5.6 boasts superior quicken | killexams.com real Questions and Pass4sure dumps

whereas the evolution world continues to breathe spellbound by using NoSQL revolutions, the decidedly SQL-based mostly MySQL hasn’t stood nevertheless. nowadays, Oracle announced the unlock of MySQL 5.6, which comprises a large number of speedups, and a brand fresh remove on the NoSQL model in line with Memcached.

Tomas Ulin, vice president of MySQL engineering at Oracle, mentioned that there are a number of most distinguished optimizations covered in 5.6. Queries should still sprint quicker for a lot of kinds of workloads, as an instance.

Ulin mentioned there may still breathe “stronger question execution instances and more advantageous diagnostics. they believe sub-query optimizations. We’ve rewritten how they address sub-queries. There’s in reality no fresh features there, simply quicker execution.”

these optimizations prolong down into InnoDB, as neatly, the location the MySQL team has brought index condition pushdown optimizations. These optimizations enable the MySQL server to hand off some records circumstances to the storage engine, allowing stated engine to in shape circumstances earlier than reading in a complete row of statistics. the expend of these optimizations, InnoDB (MySQL’s default storage engine) shouldn’t believe to sequel as many reads when doing a row retrieval.

in other places during this free up, Ulin mentioned loads of work has been carried out to boost transparency when troubleshooting database issues. The team at Oracle, he spoke of, has added optimized traces and question execution plans. InnoDB has also been optimized, and thru this work, MySQL 5.6 can aid up to forty eight cores.

“we will now address a distinguished deal more concurrent load devoid of getting congestion, which means they are able to scale out with extra cores,” spoke of Ulin. “we believe linear scalability to 48 cores on both read and write masses. The transactional throughput has stronger thrice in the scale-out status of affairs. What this actually means is that MySQL can now utilize the simultaneous hardware.”

InnoDB has additionally brought replete textual content search capabilities.

most likely essentially the most enjoyable fresh addition to MySQL 5.6 is the inclusion of NoSQL-like capabilities, created throughout the addition of Memcached. “We introduced a yr in the past they believe been adding the Memcached API to access and update information in InnoDB,” said Ulin. “we will breathe a portion of the better of both worlds within the SQL/NoSQL discussion. They suppose they can compose it much more convenient to capitalize the benefits of NoSQL-category access. They offer you a versatile, powerful language to travel through your data. We’ve observed as much as nine-times advancements the usage of the NoSQL interface.”


publication explores Oracle, MySQL question strategies | killexams.com real Questions and Pass4sure dumps

Michael McLaughlin’s Oracle 11g & MySQL 5.6 Developer guide  features out several techniques Oracle builders can compose their lives more convenient. One chapter specializes in SQL querying and singles out some time-saving, speed-gaining hints, like the usage of keywords and utility evolution tools.

SearchOracle.com currently caught up with McLaughlin to determine greater about how knowledgeable expend of Oracle queries can improvement developers.

What are some common mistakes and complications that builders visage when querying?

Michael McLaughlin: average oversight are design considerations more than they're syntax error. SQL design considerations create queries that recrudesce inconsistent, mistaken or inefficient results. uncongenial or incorrect outcomes generally remove location as a result of breathe a portion of circumstances fail to resolve a relationship or where clause circumstances fail to filter rows accurately.

Inefficient queries often weigh on inefficient joins that may also disable or expend needless indexes, or they may also weigh on correlated queries, the location the breathe portion of commentary matches non-entertaining column values. A fix to the non-uniquely matched correlated queries is standard, since you expend a glance up operator just like the IN, =ANY or =SOME, bar None of which recrudesce results sooner for non-uniquely matched column values.

What are the benefits of key phrase expend when querying?

McLaughlin: key phrases cowl a few roles in SQL and are efficient once they wait on developers visualize statistics or SQL syntax. key phrases equivalent to inner, LEFT, commandeer and all breathe portion of qualify the connection among tables and generally aid builders visualize which table gives what facts. for example, an inner breathe a portion of or breathe a portion of is the intersection of tables. It requires that you just determine the columns that assist the breathe a portion of operation automatically following the observation. In ANSI 92, the where clause most efficient includes statements that filter the recrudesce set on non-be a portion of conditions. The older ANSI 89 vogue separates tables with commas and lets breathe a portion of statements seem any location in the the location clause. The the location clause then incorporates breathe portion of statements and filtering statements.

LEFT, birthright and entire unite statements weigh you can role outer joins. A LEFT breathe a portion of takes everything on the left plus the intersection, which is commonly clearer than the older Oracle option of the usage of "+" symbols. it truly is as a result of LEFT or commandeer means that you can visualize the location the non-intersection data is determined. nevertheless, a "+" is location on the facet where there might not breathe any records backyard of the intersection. It only makes feel to a few builders in case you account for set thought and mechanics and that makes it greater mathematical than valuable.

might you account for the weight of table aliases and why builders should expend them?

McLaughlin: table aliases, like desk names, disambiguate identical-named columns when they're returned with the aid of a query. desk aliases often curtail the typing of long, descriptive names. they may breathe standard if you occur to unite copies of the identical tables since the table alias allows dissimilar copies of tables in a question.

What are the benefits and disadvantages of the expend of application evolution tools in comparison with the expend of the command-line interface?

McLaughlin: There are extra advantages to using utility building outfit than there are drawbacks. they are tremendous to prototype queries as well as insert, update and delete statements in isolation. They also let you package and sprint script files. sooner or later, you occasionally should sequester an issue, and the command-line interface provides the naked bones of SQL interacting with the database. The command line is also the lingua franca (or, commonplace language) for SQL, which means that you may talk about SQL devoid of needing to instruct the consumer the pass to expend a specific application construction tool. extra or much less, the command-line strategy to problems neutralizes the often grotesque preferences for software evolution outfit amongst users.

What are two or three programming habits developers should adopt besides the fact that they may exhibit like additional work on the entrance end?

They should pick a style for writing SQL statements that permits them to sight read their code for punctuation and syntax compliance. It often means a bit more typing, however this may dramatically store time when trying to find a stray comma or key phrase. as an instance, an outstanding approach places commas on the left in select and ORDER via clauses and rational AND/OR key words on the left of the where clause.

always expend table aliases, since it's easier so as to add content material with them than it's to retroactively add content material and desk aliases later to disambiguate very appellation columns. different recommendations involve always using the AS keyword before column aliases to assist clarify that the column identify is represented "as" the alias. which you could result indentation patterns on CASE statements.

Michael McLaughlin is a professor of desktop information know-how at Brigham puerile college-Idaho and an Oracle ACE. He has worked for Oracle in consulting, guide and construction and is the writer of six books on Oracle technology.


Oracle publicizes MySQL conference and fresh evolution Milestone unencumber of MySQL 5.6 | killexams.com real Questions and Pass4sure dumps

Apr 18, 2012

Oracle plans to dangle a MySQL convention on September 29 and 30, simply previous to Oracle OpenWorld 2012, which could breathe held in San Francisco from September 30 to October 4. The suffer called MySQL unite is planned to deliver an opportunity to breathe trained concerning the newest MySQL points, focus on product roadmaps, and attach directly with the engineers in the back of the newest MySQL code. 

MySQL unite will consist of six tracks: performance and Scalability, elevated Availability, Cloud Computing, architecture and Design, Database Administration, and software construction, and feature technical periods, arms-on labs and birds of a feather (BOF) classes delivered via MySQL group individuals, clients, clients and MySQL engineers from Oracle.

"The IOUG's MySQL Council has been taking portion with Oracle over the final 12 months on the pass to enrich the MySQL group. To believe their own two-day, MySQL-concentrated event, together with this 12 months's Oracle OpenWorld, is a testament to Oracle's dedication to hearken to, aid and foster the MySQL community," says Sarah Novotny, chairperson, IOUG MySQL Council.

The demand papers is now open and MySQL users and neighborhood members are inspired to post session proposals. 

In different MySQL news, Oracle has introduced a brand fresh evolution Milestone liberate (DMR) for MySQL 5.6. accessible for down load in the MySQL Developer Zone, the MySQL 5.6 DMR gives fresh replication points enhancing availability with self-curative recuperation, increased efficiency, and improved manageability.

Oracle is also offering early access to points below building for neighborhood checking out and feedback via http://labs.mysql.com. The elements beneath building encompass on-line operations for ADD index and NoSQL access to InnoDB via the Memcached protocol. 


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Latest MySQL Community Server 8.0.12 Version Comes with Sub-Query Optimization | killexams.com real questions and Pass4sure dumps

Press Release Summary:

The MySQL Community Server 8.0.12 version enables user to understand queries evolution and swift solution, replication improvisation and flexible NoSQL access. This version is suitable for 5.5, 5.6, 5.7 and 8.0 MySQL server versions and offers champion to connectivity of Java Database. It consists of self healing replication clusters, global action identifiers and utilities that makes light to automatic detector from failures.

Original Press Release: Unisecure Data Centers Offers MySQL Community Server 8.0.12 version with Web-Hosting

Unisecure Data Centers has announced availability of MySQL Community Server 8.0.12 version with Web-Hosting to helps user's for web application requirements with suitable scalability, reliability, manageability and performance.

Philadelphia, US, 28th August 2018 | Unisecure Data Centers based in USA ready to deliver database services with MySQL Community Server 8.0.12 version to achieve elevated volume work load to optimize for latest advance hardware. This products work with less space with low price and hence provide suitable ROI (Return on Investment).

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Benchmarking Aurora vs MySQL: Is Amazon’s DB Really 5x Faster? | killexams.com real questions and Pass4sure dumps

In this post we’re taking a closer watch at Amazon Aurora to remark how it fares against MySQL and if it delivers on the pledge of a 5x performance boost. Recently reaching common availability, Aurora is Amazon’s home grown MySQL compatible database. Currently available on three AWS regions (Virginia, Oregon and Ireland) on top of RDS, Amazon’s Relational Database Service.

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Aurora is basically the next stage in the evolution of Amazon’s hosted services. If now we’re used to using EC2 for their servers, and RDS was introduced for optimized database instances, Aurora is the next step in this offering. Fully compatible with any operation you’d sprint through MySQL so no code changes are needed.

To remark a previous quicken test they ran and discover how each of the regions compare to each other, you can check out this blog post birthright here.

Why Amazon is building a fresh MySQL compliant database?

Unlike hosting a database on RDS, where they have additional performance benefits over EC2, monitoring, and quick installation features, Aurora even has some newer tricks up its sleeve. Seems like a fresh database was required to compose it easier for Amazon to further optimize performance and add features like backups and autoscaling database storage – Which is not available on the basic MySQL instances. In that sense, we’re promised that Aurora would act like MySQL if it was optimized to sprint on AWS from day 1.

A side sequel of this makes Aurora available only on AWS. So for example, you’d not breathe able to expend a local version for testing and would believe to completely depend on AWS instances. On the radiant side, migrating to Aurora from an existing database instance is just a matter of a few clicks.

Benchmark Results

To believe more of a hands on feel of how Aurora stands up to MySQL performance-wise we’ve set up a simple benchmark covering a write-heavy scenario using sysbench. To sequel this, we’ve used a similar configuration from a previous Aurora performance assessment ran by Amazon. In this version of the benchmark, they ran 4 different instances: The latest MySQL 5.6 on EC2 and on RDS, Aurora on RDS, and the release candidate version of the upcoming MySQL 5.7 on EC2. The exact setup they used and the raw results are available on the next section of this post. Let’s jump straight ahead and believe a watch at the findings:

Operations Per Second

Operations Per Second

Comparing operations per second for MySQL and Aurora on EC2 and RDS

1. MySQL 5.6 was 8% faster than Aurora – The fresh database didn’t provide the best results on this test, and far off from the 5x pledge we’re used to hear from Amazon. Perhaps the biggest differences kick in on different setups with bigger DB sizes, but this just comes to demonstrate us the weight of trying it out with your specific expend case.

2. RDS provides up to a 60% performance capitalize over EC2 – A more significant incompatibility is seen when they compare performance of databases on EC2 vs RDS. Using RDS provided considerable improvement over deploying the very database on EC2.

3. MySQL 5.7 RC provided slightly better results than MySQL 5.6 – The next version of MySQL shows some progress, even though the RC benchmark sprint contained a considerable amount of ignored errors (full results are available through the link below).

4. When taking 95th percentile response times into account, Aurora takes the lead – Aurora was 20% better than MySQL 5.6 on RDS, and MySQL 5.7 was 20% better than MySQL 5.6 on EC2. RDS performed about 3x better than EC2.

** [Edit] delight note that optimizing MySQL’s my.cnf configuration would believe probably improved its results. Thanks @morgo!

Response Times

Response time

Comparing 95h percentile response times for MySQL and Aurora on EC2 and RDS

The Groundwork

The benchmark included setting up 5 r3.large instances on AWS: An EC2 machine which will sprint the benchmark, and machines with the databases themselves. MySQL 5.6 on EC2, MySQL 5.7 RC on EC2, MySQL 5.6 on RDS and Aurora which is only available on RDS. Then, we’ve created a test database with 250 tables and a 25,000 table size on each of the tested machines:

./sysbench –test=tests/db/oltp.lua –mysql-host= –mysql-port=3306 –mysql-user= –mysqlpassword= –mysql-db= –mysql-table-engine=innodb — oltp-table-size=25000 –oltp-tables-count=250 –db-driver=mysql prepare

Afterwards we’ve ran a variation of Amazon’s write-heavy benchmark described here (300 sec instead of 600 and 125 threads instead of 1000):

./sysbench –test=tests/db/oltp.lua –mysql-host= –oltp-tables-count=250 –mysql-user= –mysqlpassword= –mysql-port=3306 –db-driver=mysql –oltp-tablesize=25000 –mysql-db= –max-requests=0 –max-time=300 — oltp_simple_ranges=0 –oltp-distinct-ranges=0 –oltp-sum-ranges=0 –oltporder-ranges=0 –oltp-point-selects=0 –num-threads=125 –randtype=uniform run

So basically, the benchmark had 5 minutes to sling bar None it’s got at each of the database instances, and report back on the results. The raw sysbench output is available birthright here:

– MySQL 5.6 on EC2– MySQL 5.7 RC on EC2– MySQL 5.6 on RDS– Aurora on RDS

Final Thoughts

As far as managed services go, Aurora is definitely a step in the birthright direction. Taking on hosted solutions for databases to the next level. But was it really necessary to create a fresh database to champion autoscaling? We feel that RDS proved that it’s the birthright pass to travel as far as hosted MySQL goes and it’s a suitable time to experiment with Aurora if you’re containing it to specific cases for testing in production. like with any fresh technology that gets so immediate to the data at the core of your business, you’ll requisite to proceed with caution. With that said, a main pain point they didn’t address here is pricing and this is where Aurora holds the greatest pledge against traditional replete blown commercial databases. 

Java / Scala developer? Takipi replaces logging in production JVMs and lets you remark the variable status that caused each log oversight and exception.

Topics:

auora ,mysql ,benchmark ,databases


Use an updated_at Column in Your MySQL Table (and compose it update automatically) | killexams.com real questions and Pass4sure dumps

Nothing is worse than trying to device out what went wrong with application data and finding out your tables don’t believe created_at or updated_at columns to store when rows are inserted or updated.

RAGE DROP TABLE TABLE_NAME

Another capitalize you score from having an updated_at column is efficient data replication into systems like Pipeline, one of their products at RJMetrics. If they know which rows believe been updated recently, they can sort by that column and obviate redundant queries.

Don’t depend on properly formed queries to populate these columns! Let the database sequel it. Unfortunately, not bar None champion it. Here’s how to compose an automatically updating created_at timestamp in MySQL 5.5.

CREATE TABLE orders(id INT NOT NULL AUTO_INCREMENT,user_id INT NULL,amount FLOAT NULL,updated_at TIMESTAMP NOT NULL DEFAULT NOW() ON UPDATE NOW(),created_at TIMESTAMP NOT NULL, PRIMARY KEY(id));Query OK, 0 rows affected (0.00 sec)

So now your table has been created. The distinguished portion is the “updated_at TIMESTAMP NOT NULL DEFAULT NOW() ON UPDATE NOW()”This ensures that when fresh rows are added, the default value is NOW() and then it updates again on every update to that row.

Let’s insert a few rows.

INSERT INTO orders (user_id, amount, created_at) VALUES (1,101.45,NOW());Query OK, 1 row affected (0.00 sec) INSERT INTO orders (user_id, amount, created_at) VALUES (1,45.32,NOW());Query OK, 1 row affected (0.00 sec)

INSERT INTO orders (user_id, amount, created_at) VALUES (2,12.00,NOW());Query OK, 1 row affected (0.01 sec)

SELECT * FROM orders;+----+---------+--------+---------------------+---------------------| id | user_id | amount | created_at | updated_at +----+---------+--------+---------------------+---------------------| 1 | 1 | 101.45 | 2016-05-04 15:59:21 | 2016-05-04 15:59:21 | 2 | 1 | 45.32 | 2016-05-04 15:59:21 | 2016-05-04 15:59:21 | 3 | 2 | 12 | 2016-05-04 15:59:22 | 2016-05-04 15:59:22 +----+---------+--------+---------------------+---------------------3 rows in set (0.00 sec)

And now we’ll compose an update to the third row.

UPDATE orders SET amount = 120.00 WHERE id = 3;Query OK, 1 row affected (0.01 sec)Rows matched: 1 Changed: 1 Warnings: 0

SELECT * FROM orders;+----+---------+--------+---------------------+---------------------| id | user_id | amount | created_at | updated_at +----+---------+--------+---------------------+---------------------| 1 | 1 | 101.45 | 2016-05-04 15:59:21 | 2016-05-04 15:59:21 | 2 | 1 | 45.32 | 2016-05-04 15:59:21 | 2016-05-04 15:59:21 | 3 | 2 | 120 | 2016-05-04 15:59:22 | 2016-05-04 16:00:07 +----+---------+--------+---------------------+---------------------3 rows in set (0.00 sec)

So even though they didn’t compose a change to the updated_at column in their UPDATE statement, MySQL knew to update it. The suitable advice is that in MySQL 5.6 you can believe the database ply both columns.

CREATE TABLE orders(id INT NOT NULL AUTO_INCREMENT,user_id INT NULL,amount FLOAT NULL,created_at TIMESTAMP NOT NULL DEFAULT NOW(),updated_at TIMESTAMP NOT NULL DEFAULT NOW() ON UPDATE now(),PRIMARY KEY(id));Query OK, 0 rows affected (0.02 sec)

Don’t depend on developers to craft proper values for INSERT and UPDATE statements. Let MySQL sequel the work.

INSERT INTO orders (user_id, amount) VALUES (1,101.45);Query OK, 1 row affected (0.00 sec)

INSERT INTO orders (user_id, amount) VALUES (1,45.32);Query OK, 1 row affected (0.01 sec)

INSERT INTO orders (user_id, amount) VALUES (2,12.00);Query OK, 1 row affected (0.00 sec)

UPDATE orders SET amount = 120.00 WHERE id = 3;Query OK, 1 row affected (0.00 sec)Rows matched: 1 Changed: 1 Warnings: 0

SELECT * FROM orders;+----+---------+--------+---------------------+---------------------| id | user_id | amount | created_at | updated_at +----+---------+--------+---------------------+---------------------| 1 | 1 | 101.45 | 2016-05-04 17:30:19 | 2016-05-04 17:30:19 | 2 | 1 | 45.32 | 2016-05-04 17:30:19 | 2016-05-04 17:30:19 | 3 | 2 | 120 | 2016-05-04 17:30:19 | 2016-05-04 17:30:27 +----+---------+--------+---------------------+---------------------3 rows in set (0.00 sec)

Fascinating

Awesome, right? But what if you’re stuck on MySQL 5.5 and you absolutely requisite this? My colleague, Buck Ryan, sent me this excellent trigger to compose that work, too.

CREATE TRIGGER orders__before_insertBEFORE INSERT ON ordersFOR EACH ROW SET NEW.created_at = NOW(), NEW.updated_at = NOW();

CREATE TRIGGER orders__before_updateBEFORE UPDATE ON ordersFOR EACH ROW SET NEW.created_at = OLD.created_at, NEW.updated_at = NOW();



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