In this video, we are going to see how we compare from particle operations into dynamic DB Table B
using a SDK libraries.
As you know that Amazon Dynamic DB supports particle scale compatible language to select insert update
and delete data operations in Dynamic DB.
So we can use particle operations and we can easily interrupt dynamic DB tables and run ad hoc queries
on the Dynamo DB table with using the SDK libraries.
So particle operations provide the same availability, latency and performance as the other dynamo DB
data, plane operations.
So in this video we will learn how to use particle MTB bits using SRC libraries.
Basically particle has two main command in this object.
So if you open the documentation, you can see that we have executed statement command and we have batch
execute statement command.
So we will start with the execute statement command.
Basically, this command is getting as a parameter of the SQL related scripts.
Basically, this operation allows us to perform, read and Singleton writes on data stored in the Dynamo
Dynamo DB table.
So for particle reads that means select statements.
We can perform the Select Statement with using the Execute Statement Command and also perform, update
and insert commands.
So let's get started how we can implement this.
But before that, check the batch execute statement.
Also, it is the same structure, but this time it is requesting get the items.
So here you can see the batch execute statement command.
So in this command allows us to perform batch read and write operations on data stored in the DB table.
We can compare the input values from here and also these here.
So this is the single execute statement.
See the properties in here and this is the batch execute statement, command input, see that this is
properties are stored in the statements as array.
So in the next video we will see these two command in order to perform current operations using particular.