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1Z0-882 exam Dumps Source : MySQL 5.6 Developer

Test Code : 1Z0-882
Test designation : MySQL 5.6 Developer
Vendor designation : Oracle
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Oracle MySQL 5.6 Developer

MySQL 5.6 boasts superior hurry | killexams.com existent Questions and Pass4sure dumps

whereas the development world continues to live 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 great number of speedups, and a brand novel capture 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 vital optimizations covered in 5.6. Queries should silent avoid quicker for a lot of kinds of workloads, as an instance.

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

these optimizations prolong down into InnoDB, as neatly, the site 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 exhaust of these optimizations, InnoDB (MySQL’s default storage engine) shouldn’t enjoy to carryout 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 too been optimized, and thru this work, MySQL 5.6 can aid up to forty eight cores.

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

InnoDB has additionally brought plenary textual content search capabilities.

most likely essentially the most enjoyable novel 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 enjoy been adding the Memcached API to access and update information in InnoDB,” said Ulin. “we will live a section of the better of both worlds within the SQL/NoSQL discussion. They suppose they can develop it much more convenient to capitalize the benefits of NoSQL-category access. They tender you a versatile, powerful language to mosey 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 existent Questions and Pass4sure dumps

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

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

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

Michael McLaughlin: mediocre oversight are design considerations more than they're syntax error. SQL design considerations create queries that recur inconsistent, mistaken or inefficient results. uncongenial or incorrect outcomes generally capture site as a result of live a section of circumstances fail to resolve a relationship or where clause circumstances fail to filter rows accurately.

Inefficient queries often import on inefficient joins that may too disable or exhaust needless indexes, or they may too import on correlated queries, the site the live section of commentary matches non-entertaining column values. A fix to the non-uniquely matched correlated queries is standard, since you exhaust a glance up operator just relish the IN, =ANY or =SOME, plenary of which recur results sooner for non-uniquely matched column values.

What are the benefits of key phrase exhaust when querying?

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

LEFT, right and entire link statements carryweight you can office outer joins. A LEFT live a section 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 arrogate means that you can visualize the site the non-intersection data is determined. nevertheless, a "+" is Put on the facet where there might not live any records backyard of the intersection. It only makes feel to a few builders in case you justify set thought and mechanics and that makes it greater mathematical than valuable.

might you justify the consequence of table aliases and why builders should exhaust them?

McLaughlin: table aliases, relish desk names, disambiguate identical-named columns when they're returned with the aid of a query. desk aliases often shorten the typing of long, descriptive names. they may live criterion if you chance to link 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 exhaust of application development tools in comparison with the exhaust of the command-line interface?

McLaughlin: There are extra advantages to using utility building gear than there are drawbacks. they are tremendous to prototype queries as well as insert, update and delete statements in isolation. They too let you package and avoid 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 too the lingua franca (or, commonplace language) for SQL, which means that you may talk about SQL devoid of needing to educate the consumer the passage to exhaust a specific application construction tool. extra or much less, the command-line strategy to problems neutralizes the often extraordinary preferences for software development gear amongst users.

What are two or three programming habits developers should adopt besides the fact that they may materialize relish 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 analytic AND/OR key words on the left of the where clause.

always exhaust 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 identical designation 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 ensue indentation patterns on CASE statements.

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


Oracle publicizes MySQL conference and novel development Milestone unencumber of MySQL 5.6 | killexams.com existent 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 live held in San Francisco from September 30 to October 4. The sustain called MySQL link is planned to deliver an chance to live 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 link will consist of six tracks: performance and Scalability, lofty 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 section with Oracle over the final 12 months on the passage to enrich the MySQL group. To enjoy 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 require 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 novel development Milestone liberate (DMR) for MySQL 5.6. accessible for down load in the MySQL Developer Zone, the MySQL 5.6 DMR gives novel replication points enhancing availability with self-curative recuperation, increased efficiency, and improved manageability.

Oracle is too 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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MySQL 5.6 Developer

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

Press Release Summary:

The MySQL Community Server 8.0.12 version enables user to understand queries development and swift solution, replication improvisation and springy NoSQL access. This version is suitable for 5.5, 5.6, 5.7 and 8.0 MySQL server versions and offers support to connectivity of Java Database. It consists of self healing replication clusters, global action identifiers and utilities that makes smooth 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 mighty 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 lofty volume work load to optimize for latest further hardware. This products work with less space with low charge and hence provide mighty ROI (Return on Investment).

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

In this post we’re taking a closer searchfor at Amazon Aurora to behold how it fares against MySQL and if it delivers on the engage of a 5x performance boost. Recently reaching general 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 avoid through MySQL so no code changes are needed.

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

Why Amazon is building a novel 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 relish a novel database was required to develop it easier for Amazon to further optimize performance and add features relish backups and autoscaling database storage – Which is not available on the basic MySQL instances. In that sense, we’re promised that Aurora would act relish MySQL if it was optimized to avoid on AWS from day 1.

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

Benchmark Results

To enjoy 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 carryout 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 enjoy a searchfor 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 novel database didn’t provide the best results on this test, and far off from the 5x engage 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 prove us the consequence of trying it out with your specific exhaust case.

2. RDS provides up to a 60% performance capitalize over EC2 – A more significant inequity is seen when they compare performance of databases on EC2 vs RDS. Using RDS provided considerable improvement over deploying the identical 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 avoid 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] please note that optimizing MySQL’s my.cnf configuration would enjoy 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 avoid 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 fling plenary it’s got at each of the database instances, and report back on the results. The raw sysbench output is available right 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 right direction. Taking on hosted solutions for databases to the next level. But was it really necessary to create a novel database to support autoscaling? We feel that RDS proved that it’s the right passage to mosey as far as hosted MySQL goes and it’s a mighty time to experiment with Aurora if you’re containing it to specific cases for testing in production. relish with any novel technology that gets so proximate to the data at the core of your business, you’ll exigency 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 engage against traditional plenary blown commercial databases. 

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auora ,mysql ,benchmark ,databases


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

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

RAGE DROP TABLE TABLE_NAME

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

Don’t depend on properly formed queries to populate these columns! Let the database carryout it. Unfortunately, not plenary support it. Here’s how to develop 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 vital section is the “updated_at TIMESTAMP NOT NULL DEFAULT NOW() ON UPDATE NOW()”This ensures that when novel 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 develop 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 develop a change to the updated_at column in their UPDATE statement, MySQL knew to update it. The mighty tidings is that in MySQL 5.6 you can enjoy the database wield 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 carryout 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 exigency this? My colleague, Buck Ryan, sent me this excellent trigger to develop 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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