This laravel tutorial help to add CRUD operation with datatable, I will just share laravel code to create new record, edit record and delete record. I have already shared How To Use jQuery Datatable With Laravel.We have integrated jQuery datatable with laravel. We will cover following functionality in this laravel tutorial : Create record Template […]

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Congratulations to Team MariaDB at MariaDB Corporation and MariaDB Foundation for releasing MariaDB 10.4.6 as Generally Available (GA) last week on 18 June 2019. This release is very exciting for Galera Cluster users as it comes with Galera 4 (it is now the first server to come with it!), with Galera wsrep library version 26.4.2.

What can Galera Cluster users expect from MariaDB 10.4? Some high level features include:

• Streaming replication — a huge boost to large transaction support, since the node breaks transactions into fragments, replicates and certifies it across all secondary nodes while the transaction is still in progress. Read more about it in our dedicated documentation on streaming replication as well …

This is the first in a series of blog articles in which I will discuss the changing landscape of open source and money. Or, more specifically, open source databases and money. And even more specifically MySQL and its all variants (AWS Aurora, MariaDB, Percona Server, RDS/MySQL) and money. But before going too deep into what is changing, let’s review all the traditional business models in and around the MySQL marketplace.

In general, these are the following types of companies in the MySQL commercial ecosystem, sorted by total annual revenue and addressable market size:

• Developers who do not aim to monetize the open source code, just provide value to others and hope to get development and other contributions in return. This is the purest form of open source. For example, all …

MySQL supports different types of Indexes. They depend on the storage engine and on the type of data. This is the list of supported indexes:

• B-trees (the most common)
• R-trees (for spatial data)
• Hashes (for Memory engine)
• Inverted (for InnoDB Full Text)

Best Practices

My recommendation are valid for InnoDB storage engine. I won’t talk about MyISAM. There are some best practices to follow when designing your tables. These are the 3 most important:

In my previous blog post, I explained the internals of the sorted index build process. The blog ended with saying “there is one disadvantage.”

Beginning in MySQL 5.6, many DDLs including ALTER TABLE ADD INDEX became “ONLINE”. Meaning, when the ALTER is in progress, there can be concurrent SELECTS and DMLs. See the MySQL documentation for online DDL. From the documentation, we can see that ALTER TABLE ADD INDEX DDL permits concurrent DML.

The main disadvantage with Sorted Index Builds introduced in 5.7 is the reduced insert performance when ALTER is in progress. In this blog, we specifically talk about single thread insert performance on a table with ALTER ADD INDEX in progress.

If the table …

Percona is glad to announce the release of Percona XtraDB Cluster 5.7.26-31.37 on June 26, 2019. Binaries are available from the downloads section or from our software repositories.

Percona XtraDB Cluster 5.7.26-31.37 is now the current release, based on the following:

• Percona Server for MySQL 5.7.26-29
• Codership WSREP API release 5.7.25
• Codership Galera library 3.26

All Percona software is open-source and free.

Bugs Fixed

• PXC-2480: In some …

The Question Recently, a customer asked us:

What would cause a node switch to fail in a Tungsten Cluster?

For example, we saw the following during a recent session where a switch failed:

cctrl> switch to db3 

SELECTED SLAVE: db3@alpha 
SET POLICY: MAINTENANCE => MAINTENANCE 
PURGE REMAINING ACTIVE SESSIONS ON CURRENT MASTER 'db1@alpha' 
PURGED A TOTAL OF 0 ACTIVE SESSIONS ON MASTER 'db1@alpha' 
FLUSH TRANSACTIONS ON CURRENT MASTER 'db1@alpha' 
Exception encountered during SWITCH. 
Failed while setting the replicator 'db1' role to 'slave' 
ClusterManagerException: Exception while executing command 'replicatorStatus' on manager 'db1' 
Exception=Failed to execute '/alpha/db1/manager/ClusterManagementHelper/replicatorStatus alpha db3' 
Reason= 
CLUSTER_MEMBER(true) 
STATUS(FAIL) 
+----------------------------------------------------------------------------+ 
|alpha | …

In this blog post, I am going to show why we have to be careful with stored functions in select list, as a single query can cause thousands of queries in the background if we aren’t cautious.

For this example, I am only going to use the SLEEP function to demonstrate the issue, but you could use any other stored functions.

Here is the test schema and data:

DROP TABLE IF EXISTS t1;
CREATE TABLE t1 (
 id INT NOT NULL PRIMARY KEY auto_increment,
 gcol INT NOT NULL,
 fcol INT NOT NULL,
 INDEX (gcol)
);
INSERT INTO t1 VALUES (NULL,1,1),(NULL,2,1),(NULL,3,1),(NULL,4,2),(NULL,5,1);

And the first query:

mysql [localhost] {msandbox} (test) > SELECT gcol, SLEEP(1) FROM t1 WHERE 1 GROUP BY gcol LIMIT 1;
+------+----------+
| gcol | SLEEP(1) |
+------+----------+
|    1 |        0 |
+------+----------+
1 row in set (1.00 sec)

The query takes one second, which means the …

Recently I had a case where queries against Aurora Reader were 2-3 times slower than on the Writer node. In this blog post, we are going to discuss why.

I am not going to go into the details of how Aurora works, as there are other blog posts discussing that. Here I am only going to focus on one part.

The Problem

My customer reported there is a huge performance difference between the Reader and the Writer node just by running selects. I was a bit surprised, as the select queries should run locally on the reader node, the dataset could fit easily in memory, there were no reads on disk level, and everything looked fine.

I was trying to rule out every option when one of my colleagues mentioned I should have a look at the InnoDB_Adaptive_Hash_Indexes. He was right – it …

I am currently running tests with sysbench and dbdeployer on a Google Cloud Platform Debian 9 instance.  I ran into an interesting limit and lifting it was not straightforward.  I hope that by sharing this, you can avoid losing too much time.

The benchmark I am using is the insert benchmark.  I am able to run it with 2048 threads but I am not able to run it with 4096 threads (and yes, it makes