Reindexer is an embeddable, in-memory, document-oriented database with a high-level Query builder interface. Rx-connector allows to connect to a Reindexer instance from java-application.
<dependency>
<groupId>com.github.restream</groupId>
<artifactId>rx-connector</artifactId>
<version>[LATEST_VERSION]</version>
</dependency>
Here is example of basic rx-connector usage:
//Define an item class
public class Item {
// 'id' is a primary key
@Reindex(name = "id", isPrimaryKey = true)
private Integer id;
// add index by 'name' field
@Reindex(name = "name")
private String name;
// add index articles by 'articles' array
@Reindex(name = "articles")
private List<Integer> articles;
// add sortable index by 'year' field
@Reindex(name = "year", type = TREE)
private Integer year;
@Override
public String toString() {
return "Item{" +
"id=" + id +
", name='" + name + '\'' +
", articles=" + articles +
", year=" + year +
'}';
}
public Item(Integer id, String name, List<Integer> articles, Integer year) {
this.id = id;
this.name = name;
this.articles = articles;
this.year = year;
}
public static void main(String[] args) throws Exception {
// Init a database instance and choose the binding (builtin). Configure connection pool size and connection
// timeout. Database should be created explicitly via reindexer_tool.
Reindexer db = ReindexerConfiguration.builder()
.url("cproto://localhost:6534/testdb")
.connectionPoolSize(1)
.requestTimeout(Duration.ofSeconds(30L))
.getReindexer();
// Create new namespace with name 'items', which will store objects of type 'Item'
db.openNamespace("items", NamespaceOptions.defaultOptions(), Item.class);
// Generate dataset
for (int i = 0; i < 1000000; i++) {
Random random = new Random();
db.upsert("items", new Item(
i,
"Vasya",
Arrays.asList(random.nextInt() % 100, random.nextInt() % 100), 2000 + random.nextInt() % 50)
);
}
// Query multiple documents, execute the query and return an iterator
CloseableIterator<Item> iterator = db.query("items", Item.class)
.sort("year", false)
.where("name", EQ, "Vasya")
.where("year", GT, 2020)
.where("articles", SET, 6, 1, 8)
.limit(10)
.offset(0)
.execute();
// Iterate over results
while (iterator.hasNext()) {
System.out.println(iterator.next());
}
// Iterator must be closed
iterator.close();
//Update single item
db.query("items", Item.class)
.where("id", EQ, 5)
.set("name", "Vova")
.update();
//Update multiple fields
db.query("items", Item.class)
.where("id", EQ, 5)
.set("name", "Vova")
.set("year", 2021)
.update();
//Update multiple items items
db.query("items", Item.class)
.where("id", LT, 5)
.set("name", "Petya")
.update();
//Drop an item field
db.query("items", Item.class)
.where("id", EQ, 6)
.drop("name");
}
}
An alternative way to perform queries is to use the "Namespace" object, which can be obtained by opening the namespace using the Reindexer.openNamespace method:
Namespace itemNamespace = db.openNamespace("items", NamespaceOptions.defaultOptions(), Item.class);
Item item = namespace.query()
.where("name", EQ, "Vasya")
.getOne(); Complex Primary Keys and Composite Indexes
A Document can have multiple fields as a primary key. To enable this feature add composite index to object. Composite index is an index that involves multiple fields, it can be used instead of several separate indexes.
// Composite index
@Reindex(name = "id+sub_id", isPrimaryKey = true, subIndexes = {"id", "sub_id"})
public class Item {
// 'id' is a part of a primary key
@Reindex(name = "id")
private Integer id;
// 'sub_id' is a part of a primary key
@Reindex(name = "sub_id")
private String subId;
}
Query for composite index:
db.query("items", Item.class)
.whereComposite("id+sub_id", EQ, 1, "test")
.execute();
Reindexer has internal full text search engine. It can be used for fields with text index. Use the @FullText annotation in code to tune the full text search params of text index. Use it only in conjunction with @Reindex annotation of text type. Full text search query supports either EQ or SET conditions.
public class Item {
@Reindex(name = "id")
private Integer id;
@Reindex(name = "description", type = TEXT)
@FullText(synonyms = @FullText.Synonym(tokens = {"cpu"}, alternatives = {"processor"}))
private String description;
}
This query returns all items with words "cpu" or "processor" in description:
db.query("items", Item.class)
.where("description", Query.Condition.EQ, "cpu")
.toList();
This query returns all items with words "cpu" or "processor" but not with word "food" in description:
db.query("items", Item.class)
.where("description", Query.Condition.EQ, "cpu -food")
.toList();
Full text search usage documentation and examples are here.
Reindexer can join documents from multiple namespaces into a single result:
import ru.rt.restream.reindexer.annotations.Transient;
public class Actor {
@Reindex(name = "id", isPrimaryKey = true)
private Integer id;
@Reindex(name = "name")
private String name;
@Reindex(name = "is_visible")
private boolean visible;
}
public class ItemWithJoin {
@Reindex(name = "id", isPrimaryKey = true)
private Integer id;
@Reindex(name = "name")
private String name;
private List<Integer> actorsIds;
private String actorName;
@Transient
private List<Actor> joinedActors;
@Transient
private Actor joinedActor;
}
//Select all items inner join actors on Actor.id in ItemWithJoin.actorIds
CloseableIterator<ItemWithJoin> items = db.query("items_with_join", ItemWithJoin.class)
.join(db.query("actors", Actor.class)
.on("actorsIds", Query.Condition.SET, "id"), "joinedActors")
.execute();
//Select all items inner join visible actors on Actor.id in ItemWithJoin.actorIds
CloseableIterator<ItemWithJoin> items = db.query("items_with_join", ItemWithJoin.class)
.join(db.query("actors", Actor.class).where("is_visible", EQ, true)
.on("actorsIds", Query.Condition.SET, "id"), "joinedActors")
.execute();
//Select all items inner join actors on Actor.name equal ItemWithJoin.actorName
CloseableIterator<ItemWithJoin> items = db.query("items_with_join", ItemWithJoin.class)
.join(db.query("actors", Actor.class)
.on("actorName", Query.Condition.EQ, "name"), "joinedActor")
.execute();
Join query may have from one to several On conditions connected with And (by default), or Or operators:
CloseableIterator<ItemWithJoin> items = db.query("items_with_join",ItemWithJoin.class)
.join(db.query("actors", Actor.class)
.on("actorsIds",Query.Condition.SET,"id")
.on("actorName",Query.Condition.SET,"name"),"joinedActors")
.execute();
An InnerJoin combines data from two namespaces where there is a match on the joining fields in both namespaces. A LeftJoin returns all valid items from the namespaces on the left side of the LeftJoin keyword, along with the values from the table on the right side, or nothing if a matching item doesn't exist.
InnerJoins can be used as a condition in Where clause:
Query<ItemWithJoin> query1 = db.query("items_with_join", ItemWithJoin.class)
.where("id", RANGE, 0, 100)
.or()
.innerJoin(db.query("actors", Actor.class)
.where("name", EQ, "Test")
.on("actorsIds", SET, "id"), "joinedActors")
.or()
.innerJoin(db.query("actors", Actor.class)
.where("id", RANGE, 200, 300)
.on("actorsIds", SET, "id"), "joinedActors")
.execute();
Query<ItemWithJoin> query2 = db.query("items_with_join", ItemWithJoin.class)
.where("id", RANGE, 0, 100)
.or()
.openBracket()
.innerJoin(db.query("actors", Actor.class)
.where("name", EQ, "Test")
.on("actorsIds", SET, "id"), "joinedActors")
.innerJoin(db.query("actors", Actor.class)
.where("id", RANGE, 200, 300)
.on("actorsIds", SET, "id"), "joinedActors")
.closeBracket();
Query<ItemWithJoin> query3 = db.query("items_with_join", ItemWithJoin.class)
.where("id", RANGE, 0, 100)
.or()
.innerJoin(db.query("actors", Actor.class)
.where("id", RANGE, 200, 300)
.on("actorsIds", SET, "id")
.limit(0), "joinedActors");
Note that usually Or operator implements short-circuiting for Where conditions: if the previous condition is true the next one is not evaluated. But in case of InnerJoin it works differently: in query1 (from the example above) both InnerJoin conditions are evaluated despite the result of WhereInt. Limit(0) as part of InnerJoin (query3 from the example above) does not join any data - it works like a filter only to verify conditions.
Transactions and batch updateReindexer supports transactions. Transaction are performs atomic namespace update. There are synchronous and async transaction available. To start transaction method db.beginTransaction() is used. This method creates transaction object, which provides usual Update/Upsert/Insert/Delete interface for application. For RPC clients there is transactions count limitation - each connection can't has more than 1024 opened transactions at the same time.
// Create new transaction object
Transaction<Item> tx = db.beginTransaction("items", Item.class);
// Fill transaction object
tx.upsert(new Item(100, "Vasya", Arrays.asList(6, 1, 8), 2019));
tx.upsert(new Item(101, "Vova", Arrays.asList(7, 2, 9), 2020));
tx.query().where("id", EQ, 102).set("name", "Petya").update();
// Apply transaction
tx.commit();
// Create new transaction object
Transaction<Item> tx = db.beginTransaction("items", Item.class);
// Prepare transaction object async
tx.upsertAsync(new Item(100, "Vasya", Arrays.asList(6, 1, 8), 2019));
tx.upsertAsync(new Item(101, "Vova", Arrays.asList(7, 2, 9), 2020))
.thenAccept(item -> processItem(item))
.exceptionally(e -> handleError(e));
// Wait for async operations done, and apply transaction
tx.commit();
The return value of tx.upsertAsync is CompletableFuture, which will be completed after receiving server response. Also, if any error occurred during prepare process, then tx.commit should return an error. So it is enough, to check error returned by tx.commit - to be sure, that all data has been successfully committed or not.
Depends on amount changes in transaction there are 2 possible Commit strategies:
tx.rollback or tx.commit, otherwise resources will leak.tx.rollback after tx.commit.tx.query().execute(); .... Only read-committed isolation is available. Changes made in active transaction is invisible to current and another transactions.RetroSearch is an open source project built by @garambo | Open a GitHub Issue
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