springboot-elasticsearch-thymeleaf
The goal of this project is to implement an application called product-app
. It consists of two Spring Boot
services: product-api
(backend) and product-ui
(frontend). Data will be stored in Elasticsearch
.
Applications
-
product-api
Spring Boot
Web Java application that exposes a REST API to manages products. The information about products are stored inElasticsearch
.product-api
usesSpring Data Elasticsearch
to persist/query/delete data inElasticsearch
-
product-ui
Spring Boot
Web application that was implemented usingThymeleaf
as HTML template.product-ui
is a client ofproduct-api
. It usesSpring Cloud OpenFeign
to write web service clients easily. -
eureka-server
Spring Boot
application, used as service discovery in this project
Prerequisites
Start Environment
-
Open a terminal and navigate to
springboot-elasticsearch-thymeleaf
root folder rundocker-compose up -d
-
Wait a little bit until the docker containers are up and healthy. To check it, run
docker-compose ps
Configure an index, alias and insert some products in ES
-
In a terminal, make sure you are in
springboot-elasticsearch-thymeleaf
root folder -
Run the following script to create the index
ecommerce.products.v1
with the aliasecommerce.products
(you can use the default values by just pressingEnter
on every user input)./create-index.sh
-
If you want to insert some products, run
./insert-products.sh
-
If you want to fix the
reference
property mapping error (explained below), run./reindex.sh
Reindex
The script ./reindex.sh
is used to reindex from an index to another index. The default will reindex from ecommerce.products.v1
to ecommerce.products.v2
. The only difference between elasticsearch/mapping-v1.json
(used by ecommerce.products.v1
) to elasticsearch/mapping-v2.json
(used by ecommerce.products.v2
) is the type
of the reference
property. In the former is set text
and in the latter, keyword
.
It’s interesting because the reference
property has some special characters. An example of reference
code is SBES@DDR4-10000
. As it is a text
, ES (using the standard
analyzer) splits the content in tokens ['SBES', 'DDR4', 10000]. So, for example, if you are looking for a product with DDR4
RAM and, for some reason, the string DDR4
is present in the reference code of some product X, the product X will be selected, even if it doesn’t have DDR4
in its description. It is an error.
So, the script ./reindex.sh
aims to fix it, setting the type keyword
to reference
property. The DDR4
problem won’t happen again because, from now on, ES won’t tokenize the content present in the reference
property.
Start applications
Below are the steps to start and run the applications. We will need to open a terminal for each one. Make sure you are in springboot-elasticsearch-thymeleaf
root folder while running the commands.
-
eureka-server
./mvnw clean spring-boot:run --projects eureka-server
-
product-api
./mvnw clean spring-boot:run --projects product-api -Dspring-boot.run.jvmArguments="-Dserver.port=9080"
-
product-ui
./mvnw clean spring-boot:run --projects product-ui -Dspring-boot.run.jvmArguments="-Dserver.port=9081"
Applications URLs
Application | URL |
---|---|
eureka-server |
|
product-api |
|
product-ui |
Note: when accessing product-ui
, if you get the exception shown in the picture below, wait a bit.
Shutdown
-
Go to
eureka-server
,product-api
andproduct-ui
terminals and pressCtrl+C
-
In a terminal, make sure you are in
springboot-elasticsearch-thymeleaf
root folder and run the command below to stop and remove docker-compose containers, networks and volumesdocker-compose down -v
Creating indexes and reindexing them using Elasticsearch REST API
In the following steps, we are going to, manually and using Elasticsearch
REST API, create an index called ecommerce.products.v1
, associate an alias called ecommerce.products
for it and then reindex to another index called ecommerce.products.v2
.
Make sure you have a clean Elasticsearch
without the indexes and alias mentioned previously. Also, the following curl
commands must be executed in springboot-elasticsearch-thymeleaf
root folder.
-
Check ES is up and running
curl localhost:9200
It should return something like
{ "name" : "fadee0b011b7", "cluster_name" : "docker-es-cluster", "cluster_uuid" : "iO1Ne0WXRDeQYZyGp3DaWQ", "version" : { "number" : "7.6.2", "build_flavor" : "oss", "build_type" : "docker", "build_hash" : "ef48eb35cf30adf4db14086e8aabd07ef6fb113f", "build_date" : "2020-03-26T06:34:37.794943Z", "build_snapshot" : false, "lucene_version" : "8.4.0", "minimum_wire_compatibility_version" : "6.8.0", "minimum_index_compatibility_version" : "6.0.0-beta1" }, "tagline" : "You Know, for Search" }
-
Create
ecommerce.products.v1
indexcurl -X PUT localhost:9200/ecommerce.products.v1 -H "Content-Type: application/json" -d @elasticsearch/mapping-v1.json
It should return
{ "acknowledged":true, "shards_acknowledged":true, "index":"ecommerce.products.v1" }
-
Check indexes
curl "localhost:9200/_cat/indices?v"
It should return something like
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size yellow open ecommerce.products.v1 1B3JXm6zQnKolob4mtwRUg 1 1 0 0 230b 230b
-
Check
ecommerce.products.v1
index mappingcurl "localhost:9200/ecommerce.products.v1/_mapping?pretty"
It should return
{ "ecommerce.products.v1": { "mappings": { "properties": { "categories": { "type": "keyword" }, "created": { "type": "date", "format": "strict_date_time_no_millis||yyyy-MM-dd'T'HH:mmZZ" }, "description": { "type": "text" }, "name": { "type": "text" }, "price": { "type": "float" }, "reference": { "type": "text" }, "reviews": { "properties": { "comment": { "type": "text" }, "created": { "type": "date", "format": "strict_date_time_no_millis||yyyy-MM-dd'T'HH:mmZZ" }, "stars": { "type": "short" } } } } } } }
-
Create alias for
ecommerce.products.v1
indexcurl -X POST localhost:9200/_aliases -H 'Content-Type: application/json' \ -d '{ "actions": [{ "add": {"alias": "ecommerce.products", "index": "ecommerce.products.v1" }}]}'
It should return
{ "acknowledged":true }
-
Check aliases
curl "localhost:9200/_aliases?pretty"
It should return
{ "ecommerce.products.v1": { "aliases": { "ecommerce.products": {} } } }
-
Create
ecommerce.products.v2
indexcurl -X PUT localhost:9200/ecommerce.products.v2 -H "Content-Type: application/json" -d @elasticsearch/mapping-v2.json
It should return
{ "acknowledged":true, "shards_acknowledged":true, "index":"ecommerce.products.v2" }
Checking indexes again
curl "localhost:9200/_cat/indices?v"
It should return something like
health status index uuid pri rep docs.count docs.deleted store.size pri.store.size yellow open ecommerce.products.v2 Iq0adLgEQSaCTIOISIW4DA 1 1 0 0 230b 230b yellow open ecommerce.products.v1 1B3JXm6zQnKolob4mtwRUg 1 1 0 0 283b 283b
-
Reindex from
ecommerce.products.v1
toecommerce.products.v2
curl -X POST localhost:9200/_reindex -H 'Content-Type: application/json' \ -d '{ "source": { "index": "ecommerce.products.v1" }, "dest": { "index": "ecommerce.products.v2" }}'
It should return something like
{ "took": 86, "timed_out": false, "total": 0, "updated": 0, "created": 0, "deleted": 0, "batches": 0, "version_conflicts": 0, "noops": 0, "retries": { "bulk": 0, "search": 0 }, "throttled_millis": 0, "requests_per_second": -1.0, "throttled_until_millis": 0, "failures": [] }
-
Adjust alias after reindex from
ecommerce.products.v1
toecommerce.products.v2
curl -X POST localhost:9200/_aliases -H 'Content-Type: application/json' \ -d '{ "actions": [{ "remove": {"alias": "ecommerce.products", "index": "ecommerce.products.v1" }}, { "add": {"alias": "ecommerce.products", "index": "ecommerce.products.v2" }}]}'
It should return
{ "acknowledged":true }
Checking aliases again
curl "localhost:9200/_aliases?pretty"
It should return something like
{ "ecommerce.products.v1": { "aliases": {} }, "ecommerce.products.v2": { "aliases": { "ecommerce.products": {} } } }
-
Delete
ecommerce.products.v1
indexcurl -X DELETE localhost:9200/ecommerce.products.v1
It should return
{ "acknowledged":true }
Checking aliases again
curl "localhost:9200/_aliases?pretty"
It should return
{ "ecommerce.products.v2": { "aliases": { "ecommerce.products": {} } } }
-
Simple search
curl "localhost:9200/ecommerce.products/_search?pretty"
It should return something like
{ "took": 1, "timed_out": false, "_shards": { "total": 1, "successful": 1, "skipped": 0, "failed": 0 }, "hits": { "total": { "value": 0, "relation": "eq" }, "max_score": null, "hits": [] } }
As I don’t have any products, the
hits
array field is empty
TODO
-
add some Ajax calls, for example, when adding a comment, so the page doesn’t need to be refreshed (https://grokonez.com/java-integration/integrate-jquery-ajax-post-get-spring-boot-web-service);
-
add pagination. now, it is just returning all products;
-
add functionality to delete products;