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Displaying posts with tag: MySQL 5.7 (reset)
Introducing the MySQL Cloud Service

The MySQL keynote at Oracle Open World 2016 announced the immediate availability of the MySQL Cloud Service, part of the larger Oracle Cloud offering. You can evaluate this now with a trial copy at cloud.oracle.com/mysql. MySQL server product manager Morgan Tocker gave two presentations at the event including a deep dive session.

This is the first release of the MySQL cloud service. As with all first releases there are some highlights and some pipeline features. All major cloud providers have MySQL offerings. AWS RDS (traditional, MAZ and Aurora) GCP Cloud SQL and Azure …

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Varchar fields on MySQL 5.7

Disclaimer: this post takes into consideration that strict mode is enabled on the server

VARCHAR  and  CHAR  are used to store strings. VARCHAR stores varying length and CHAR always use the same exact size no matter the size of the string. For example, CHAR(4) will always store 4 bytes, whereas VARCHAR(4) will store up to 5 bytes. See documentation.

When we create a table like this one:

We put inside the parentheses the length of the field in characters for the VARCHAR field. However, the maximum size in bytes of the field will depend on the CHARSET and COLLATION of the table. You can also specify a different collation for a column.

For instance:

  • latin1: 1 to 2 bytes per …
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Performance of Inserts on Partitions – MySQL 5.6 v/s MySQL 5.7

Recently, I was discussing with one of my colleagues about how insert statement performs for MySQL partitioned tables. General prediction is that it should be slower than for non-partitioned tables, but how much that we didn’t know. So, I thought let’s test with different types of partitions (i.e range, list and hash) and also with different number of partitions and check how’s performance. As people says, MySQL 5.7 is must faster than old one, so I also tested partitions with it.

So, I took simple table with 3.2M records on Centos 6.7 VM (4 core with 2GB RAM) with default my.cnf settings and then created tables for range, list and hash partitioning with 5,25,50 and 100 partitions. i.e with 5 partition (range and list), the table structures were like

CREATE TABLE emp_range_5(
 id int,
 fname varchar (30),
 lname varchar (30),
 hired_date date not null,
 separated_date date not null,
 job_code int,
 store_id int
 ) …
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Understanding Bulk Index Creation in InnoDB (and innodb_sort_buffer_size)

In a previous post, I presented an Unexpected Memory Consumption for Bulk Index Creation in InnoDB.  This was triggered by an increased innodb_sort_buffer_size and as stated in another post: "the sorting algorithm does not scale well with large sort buffers".  In this post, I will present why it does not scale well and I will suggest solutions.

This post also answers feedback request for the

Severe performance regression in MySQL 5.7 crash recovery

In this post, we’ll discuss some insight I’ve gained regarding severe performance regression in MySQL 5.7 crash recovery.

Working on different InnoDB log file sizes in my previous post:

What is a big innodb_log_file_size?

I tried to understand how we can make InnoDB crash recovery faster, but found a rather surprising 5.7 crash recovery regression.

Basically, crash recovery in MySQL 5.7 is two times slower, due to this issue: https://bugs.mysql.com/bug.php?id=80788. InnoDB now performs the log scan twice, compared to a single scan in MySQL 5.6 (no surprise that there is performance degradation).

Fortunately, there is a proposed patch for MySQL 5.7, so I hope it will be improved soon.

As for general crash …

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MySQL 5.7 By Default 1/3rd Slower Than 5.6 When Using Binary Logs

Researching a performance issue, we came to a startling discovery:

MySQL 5.7 + binlogs is by default 37-45% slower than MySQL 5.6 + binlogs when otherwise using the default MySQL settings

Test server MySQL versions used:
i7, 8 threads, SSD, Centos 7.2.1511
mysql-5.6.30-linux-glibc2.5-x86_64
mysql-5.7.12-linux-glibc2.5-x86_64

mysqld –options:

--no-defaults --log-bin=mysql-bin --server-id=2

Run details:
Sysbench version 0.5, 4 threads, socket file connection

Sysbench Prepare: 

sysbench --test=/usr/share/doc/sysbench/tests/db/parallel_prepare.lua --oltp-auto-inc=off --mysql-engine-trx=yes --mysql-table-engine=innodb --oltp_table_size=1000000 --oltp_tables_count=1 --mysql-db=test --mysql-user=root --db-driver=mysql --mysql-socket=/path_to_socket_file/your_socket_file.sock prepare …
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Percona XtraBackup 2.4.3 is now available


Percona
is glad to announce the GA release of Percona XtraBackup 2.4.3 on May 23rd, 2016. Downloads are available from our download site and from apt and yum repositories.

Percona XtraBackup enables MySQL backups without blocking user queries, making it ideal for companies with large data sets and mission-critical applications that cannot tolerate long periods of downtime. Offered …

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NOT NULL all the things!

Different types of languages deal with this “value” in diverse ways. You can have a more comprehensive list of what NULL can mean on this website. What I like to think about NULL is along the lines of invalid, as if some sort of garbage is stored there. It doesn’t mean it’s empty, it’s just mean that something is there, and it has no value to you.

Databases deal when storing this type in a similar way, PostgreSQL treats it as “unknown” while MySQL treats it as “no data“.

Both databases recommend using \N to represent NULL values where import or exporting of data is necessary.

When …

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Major post-GA features in the 5.7 release!

Interesting developments in the MySQL world – it can now be used as a document store and you can query the database using JavaScript instead of SQL (via the MySQL Shell). There is also a new X Plugin (see: mysql-5.7.12/rapid/) (which now makes use of protocol buffers (see: mysql-5.7.12/extra/protobuf/)). I will agree, this is more than just a maintenance release.

Do get started playing with MySQL Shell. If you’re using the yum repository, remember to ensure you have …

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MySQL Parallel Replication and more Booking.com talks at Percona Live (April 2016)

In a few days, I will be flying to San Francisco and then making my way to Santa Clara to attend the Percona Live Conference.  On the last day of the conference (Thursday), I will speak about MySQL Parallel Replication.  I hope to see you there and I will he happy to answer questions you might have (on this subject and others):

Thursday at 12:50 pm: MySQL Parallel Replication: inventory,

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