Aerospike Interview Questions (2024)
What is Aerospike?
What is Aerospike used for?
How does Aerospike DB work?
What is User-Defined Functions in Aerospike?
What is Lua in Aerospike?
What is Record UDFs in Aerospike?
What is the purpose of Stream UDFs in Aerospike?
What is Aerospike Management Console (AMC)?
What is Aerospike AQL?
What is Aerospike AQL Namespaces?
What is Bins in Aerospike AQL?
How to list the namespaces,sets and bin using Aerospike AQLL?
What is secondary indexes in Aerospike?
What is CAP theorem in Aerospike?
Is there a way to rollback actions taken in Aerospike using User Defined Functions (UDFs)?
What is the main difference between the Aerospike Stream UDF system and traditional MapReduce frameworks?
What is the difference between Stored Procedures and UDFs?
What is the purpose of Aerospike Connect?
What does Aerospike Connect for Kafka will do?
What is Aerospike Connect for Google/Pub/Sub?
What is Aerospike Connect for JMS?
What does Aerospike Connect for Pulsar will do?
What is Aerospike Connect for Event Stream Processing (ESP)?
How to process data using Aerospike Connect?
How to access data with SQL using Aerospike Connect?
What is Aerospike Kubernetes Operator?
Q: What is Aerospike?
Ans:
The firm also known as Aerospike offers the open source flash memory and in-memory distributed key value NoSQL database management system known as Aerospike Database.
Q: What is Aerospike used for?
Ans:
An great database for a recommendation engine is Aerospike. Large lists (for effectively recording activity), optimized Flash support to handle datasets of up to petabytes, searches and aggregations for real-time reporting, and excellent support for languages like Python and Go are among the major characteristics.
Q: How does Aerospike DB work?
Ans:
Every node divides the primary index space into data slices and assigns owners using a distributed hash technique. To verify that every piece of data replicates across all cluster nodes and datacenters, the Aerospike Data Migration module dynamically balances data distribution throughout all cluster nodes.
Q: What is User-Defined Functions in Aerospike?
Ans:
Code created by a user or programmer is executed by the Aerospike database server is known as a User-Defined Function (UDF). The Aerospike Database engine's functionality and performance can be greatly increased with UDFs. As of right now, Lua is the only UDF language supported by Aerospike.
Take a look at our Suggested Posts :
Q: What is Lua in Aerospike?
Ans:
A powerful, quick, modular, embeddable scripting language is Lua. The advanced data description techniques based on associative arrays and extendable semantics are combined with easy procedural syntax in Lua.
Q: What is Record UDFs in Aerospike?
Ans:
Record UDFs run on a single database record. They have the ability to add, edit, or remove records.
Q: What is the purpose of Stream UDFs in Aerospike?
Ans:
Stream UDFs operate on a collection of records in a read-only mode. The Stream UDF system supports MapReduce computing, which is commonly used for regular, highly parallel MapReduce jobs.
Q: What is Aerospike Management Console (AMC)?
Ans:
An web tool for managing and monitoring an Aerospike cluster is called the Aerospike Management Console (AMC).
Q: What is Aerospike AQL?
Ans:
Aerospike Query Language is an AQL tool. The main feature of this tool is for searching and querying the database. AQL is a tool for quick administrative activities and a data browser for examining the database.
Q: What is Aerospike AQL Namespaces?
Ans:
The highest level of data containers are namespaces. In Aerospike, they are used in a specialized manner, although in general, consider of them as Schemas in traditional RDBMS systems.
Q: What is Bins in Aerospike AQL?
Ans:
We can consider the bins as columns. Records are stored in bins. The value of the data that the bin holds set the data type of the bin. A single record can contain information from multiple bins (and data kinds).
Q: How to list the namespaces,sets and bin using Aerospike AQL?
Ans:
Using below Aerospike AQL command, we can get the list of namespaces,sets and bin.
List namespaces:
aql> show namespaces
List sets:
aql> show sets
List bins:
aql> show bins
Q: What is secondary indexes in Aerospike?
Ans:
Secondary indexes are useful for queries on non-primary key bins. A secondary index (SI) is a type of data structure which uses a record's bin value to locate every record in a namespace or a set of records inside it. The secondary index automatically updates whenever a value in the index record is changed.
Q: What is CAP theorem in Aerospike?
Ans:
According to the CAP theorem, any networked shared-data system can only contain two out of the following three desired qualities:
- Consistency (C), defined as a single current copy of the data
- Strong availability (A) for updating data.
- ability to accept network partitions (P).
Strong Consistency has been introduced as the primary key factor in Aerospike 4.
Q: Is there a way to rollback actions taken in Aerospike using User Defined Functions
(UDFs)?
Ans:
As Aerospike currently lacks a transaction management API, also using User Defined Functions (UDFs) won't give users the option to rollback a series of actions.
Q: What is the main difference between the Aerospike Stream UDF system and traditional MapReduce
frameworks?
Ans:
The Aerospike Stream UDF system offers very low latency and excellent reliability in a shared-nothing architecture, which is a significant distinction between Aerospike Stream UDF and traditional MapReduce frameworks.
Q: What is the difference between Stored Procedures and UDFs?
Ans:
In database systems, stored procedures are usually utilized. Stored procedures, like UDFs, are user application code that are stored and executed in a Relational Database Management System (RDBMS). Overall mechanism, like stored procedures, can read or write one or more records.
UDFs have less capabilities. They can operate on a single record like on Record UDFs or a specific stream of records like on Stream UDFs. Record UDFs behave similarly to standard UDFs. Stream UDFs are similar to stored procedures in that they manage multiple records.
Q: What is the purpose of Aerospike Connect?
Ans:
Aerospike Connect combines Aerospike Database 5 to popular open-source frameworks such as Spark, Kafka, Pulsar, and JMS. It allows for the creation and development of new generations of data-intensive solutions which make use of Aerospike Database 5's massively parallel engine's speed and scale.
Q: What does Aerospike Connect for Kafka will do?
Ans:
Data can be exchanged between the Aerospike Database and external systems using Apache Kafka with the help of Aerospike Connect for Kafka. It can be used to publish data from Aerospike to external systems via Kafka, transmit data from Aerospike to other systems via Kafka, or do both.
Q: What is Aerospike Connect for Google/Pub/Sub?
Ans:
A stable and scalable method of publishing data from the Aerospike Database to Google Pub/Sub is offered by Aerospike Connect for Google/Pub/Sub (BETA).
Q: What is Aerospike Connect for JMS?
Ans:
Aerospike Connect for JMS enables data transmission between the Aerospike Database and external systems through the use of a JMS (Java Message Service) provider such as IBM MQ, Solace, ActiveMQ Artemis, or RabbitMQ.
Q: What does Aerospike Connect for Pulsar will do?
Ans:
Data can be exchanged between the Aerospike Database and external systems using Apache Pulsar and Aerospike Connect for Pulsar. It can be used to publish data from Aerospike to external systems via Pulsar, transfer data from Aerospike to external systems via Pulsar, or do both.
Q: What is Aerospike Connect for Event Stream Processing (ESP)?
Ans:
For almost any system that can consume HTTP requests, Aerospike Connect for Event Stream Processing (ESP) offers a stable and scalable means for publishing data from Aerospike DB..
Change notifications over XDR are transformed into HTTP/1 or HTTP/2 requests by Aerospike Connect for Streaming Event Processing (ESP), which then feeds them to downstream consumers. This makes it possible to use cases like server-less event processing by utilizing either Google Cloud Functions or AWS Lambda.
Q: How to process data using Aerospike Connect?
Ans:
In order to process the data using Spark APIs, which are available in several languages including Java, Scala, and Python, Aerospike Connect for Spark loads data from Aerospike into a Spark streaming or batch DataFrame in a massively parallel manner. The deployment of a Spark application in a Kubernetes or non-Kubernetes environment, whether in the cloud or on physical hardware, is made simple by the addition of a Spark connector as a JAR.
Q: How to access data with SQL using Aerospike Connect?
Ans:
If the Aerospike data is present in a single Aerospike cluster or in several Aerospike clusters, Aerospike Connect for Presto enables users to run ANSI SQL queries fast via business intelligence (BI) tools or other supported clients for on-demand analytics.
Q: What is Aerospike Kubernetes Operator?
Ans:
- The deployment and management of Aerospike Enterprise clusters on Kubernetes are automated by the Aerospike Kubernetes Operator.
- For Aerospike clusters, the Operator has a controller that monitors a Custom Resource Definition (CRD) that extends the Kubernetes API.
- By modifying an Aerospike cluster Custom Resource (CR), Aerospike cluster deployment and life cycle management can be accomplished.
- We can define modifications in the Aerospike cluster CR file and use
kubectl
apply to apply them rather than manually altering the cluster. - The Operator recognizes the changes and takes the necessary action to implement them.