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1Z0-882 exam Dumps Source : MySQL 5.6 Developer

Test Code : 1Z0-882
Test title : MySQL 5.6 Developer
Vendor title : Oracle
: 100 real Questions

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Oracle MySQL 5.6 Developer

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

whereas the evolution world continues to subsist 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 assume 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 notable optimizations covered in 5.6. Queries should still race quicker for a lot of kinds of workloads, as an instance.

Ulin mentioned there may still subsist “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 station 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 Use of these optimizations, InnoDB (MySQL’s default storage engine) shouldn’t believe to enact 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 likewise been optimized, and thru this work, MySQL 5.6 can aid up to forty eight cores.

“we will now address a remarkable 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 state of affairs. What this actually means is that MySQL can now utilize the simultaneous hardware.”

InnoDB has additionally brought complete 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 subsist a fragment of the better of both worlds within the SQL/NoSQL discussion. They suppose they can build it much more convenient to profit the benefits of NoSQL-category access. They present you a versatile, powerful language to proceed 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 sheperd  features out several techniques Oracle builders can build their lives more convenient. One chapter specializes in SQL querying and singles out some time-saving, speed-gaining hints, dote the usage of keywords and utility evolution tools.

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

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

Michael McLaughlin: dispassionate oversight are design considerations more than they're syntax error. SQL design considerations create queries that return inconsistent, mistaken or inefficient results. uncongenial or incorrect outcomes generally assume station as a result of subsist a fragment of circumstances fail to resolve a relationship or where clause circumstances fail to filter rows accurately.

Inefficient queries often signify on inefficient joins that may likewise disable or Use needless indexes, or they may likewise signify on correlated queries, the station the subsist fragment of commentary matches non-entertaining column values. A fix to the non-uniquely matched correlated queries is standard, since you Use a glance up operator just dote the IN, =ANY or =SOME, outright of which return results sooner for non-uniquely matched column values.

What are the benefits of key phrase Use when querying?

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

LEFT, prerogative and entire join statements value you can duty outer joins. A LEFT subsist a fragment 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 confiscate means that you can visualize the station the non-intersection data is determined. nevertheless, a "+" is allot on the facet where there might not subsist any records backyard of the intersection. It only makes feel to a few builders in case you expound set thought and mechanics and that makes it greater mathematical than valuable.

might you expound the minute of table aliases and why builders should Use them?

McLaughlin: table aliases, dote 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 subsist standard if you occur to join 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 Use of application evolution tools in comparison with the Use of the command-line interface?

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

What are two or three programming habits developers should adopt besides the fact that they may appear dote 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 Use 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 same title 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 supervene indentation patterns on CASE statements.

Michael McLaughlin is a professor of desktop information know-how at Brigham young college-Idaho and an Oracle ACE. He has worked for Oracle in consulting, sheperd 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 subsist held in San Francisco from September 30 to October 4. The sustain called MySQL join is planned to deliver an break to subsist 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 join 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 fragment with Oracle over the final 12 months on the way 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 likewise offering early access to points below structure for neighborhood checking out and feedback via http://labs.mysql.com. The elements beneath structure 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 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 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 effortless 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 agreeable 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 promote hardware. This products work with less space with low price and hence provide agreeable 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 witness at Amazon Aurora to behold how it fares against MySQL and if it delivers on the promise 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 race through MySQL so no code changes are needed.

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

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

A side result of this makes Aurora available only on AWS. So for example, you’d not subsist able to Use a local version for testing and would believe to completely rely on AWS instances. On the shiny 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 enact 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 witness 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 promise 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 minute of trying it out with your specific Use case.

2. RDS provides up to a 60% performance profit over EC2 – A more significant dissimilarity is seen when they compare performance of databases on EC2 vs RDS. Using RDS provided considerable improvement over deploying the same 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 race 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 race 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 throw outright it’s got at each of the database instances, and report back on the results. The raw sysbench output is available prerogative 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 prerogative direction. Taking on hosted solutions for databases to the next level. But was it really necessary to create a fresh database to support autoscaling? We feel that RDS proved that it’s the prerogative way to proceed as far as hosted MySQL goes and it’s a agreeable time to experiment with Aurora if you’re containing it to specific cases for testing in production. dote with any fresh technology that gets so immediate to the data at the core of your business, you’ll necessity to proceed with caution. With that said, a main stitch point they didn’t address here is pricing and this is where Aurora holds the greatest promise against traditional complete blown commercial databases. 

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

Nothing is worse than trying to pattern 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 profit you rep from having an updated_at column is efficient data replication into systems dote 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 rely on properly formed queries to populate these columns! Let the database enact it. Unfortunately, not outright support it. Here’s how to build 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 notable fragment 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 build 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 build a change to the updated_at column in their UPDATE statement, MySQL knew to update it. The agreeable word is that in MySQL 5.6 you can believe 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 rely on developers to craft proper values for INSERT and UPDATE statements. Let MySQL enact 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 necessity this? My colleague, Buck Ryan, sent me this excellent trigger to build 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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