--enable-auto-failover seçeneği
Şöyle yaparız
./couchbase-cli setting-autofailover -c <IP-node1>:8091 -u username -p password--enable-auto-failover 0
./couchbase-cli setting-autofailover -c <IP-node1>:8091 -u username -p password--enable-auto-failover 0
Couchbase Server documents of are stored as JSON.
- Couchbase is designed to be distributed from the get-go. For example, the data container Bucket is always distributed — nothing to share. Simply add new nodes and the system will automatically distribute. Intra cluster replication requires no new servers - simply set the number of replicas and you're all set.- From the developer interaction perspective, the big difference is the query language itself - MongoDB has a proprietary query language and Couchbase has N1QL - SQL for JSON. MongoDB uses its B-Tree-based index for search as well and recently released $searchbeta for the Atlas service using Apache Lucene; Couchbase has a built-in Full-Text Search.
Each document in a bucket will have a user-generated unique document key. This uniqueness is enforced during insertion of the data.
Each value (binary or JSON) is identified by a unique key, defined by the user or application when the item is saved. The key is immutable: once the item is saved, the key cannot be changed. Note that Couchbase also refers to an item's key as its id.Each key:- Must be a UTF-8 string with no spaces. Special characters, such as (, %, /, " and _ are acceptable.- May be no longer than 250 bytes.- Must be unique within its bucket.
The maximum size of a value is 20 MiB. A value can be either:- Binary: Any form of binary is acceptable. Note that a binary value cannot be parsed, indexed or queried. It can only be retrieved by key.- JSON: A JSON value, referred to as a document, can be parsed, indexed, and queried. Each document consists of one or more attributes, each of which has its own value. An attribute's value can be a basic type — such as a number, string, or Boolean — or a complex, such as an embedded document or an array.
N1QL (pronounced “nickel”) is Couchbase's next-generation query language. N1QL aims to meet the query needs of distributed document-oriented databases.
N1QL DML statements include SELECT, INSERT, UPDATE, UPSERT, DELETE, and MERGE.
Remember we use optimistic concurrency control. That means, even after the INSERT is successful, the commit stage can still run into a write-write conflict because some other session could have inserted between the insert and commit. You’ll have to retry the transaction on such failures.
INSERT INTO customerVALUES(“cx4872”, {“cid”: 4872, “name”:”John Doe”, “balance”:724.23});INSERT INTO customerVALUES(“cx1924”, {“cid”: 1924, “name”:”Bob Stanton”, “balance”:2735.48});
This statement starts a new transaction, assigns a new transaction ID, and returns the transaction ID to the caller. There are two rules the SDKs, tools (e.g. CBQ shell) follow to successfully execute the rest of the transaction.1. Send this transaction ID as a parameter every subsequent statement within the transaction. This is how the query service knows the statement should be run as part of a particular transaction.2. Couchbase can have multiple query service nodes, but a single transaction is executed on a single query node. You can start a new transaction in ANY QUERY NODE. However, the rest of the statements FOR THAT SINGLE TRANSACTION should be sent to the VERY SAME query node.
START TRANSACTION;UPDATE customer SET balance = balance + 100 WHERE cid = 4872;SELECT cid, name, balance FROM customer;UPDATE customer SET balance = balance – 100 WHERE cid = 1924;SELECT cid, name, balance FROM customer;COMMIT ;
START TRANSACTION;UPDATE customer SET balance = balance + 100 WHERE cid = 4872;SELECT cid, name, balance FROM customer;SAVEPOINT s1;UPDATE customer SET balance = balance – 100 WHERE cid = 1924;SELECT cid, name, balance FROM customer;ROLLBACK WORK TO SAVEPOINT s1;SELECT cid, name, balance FROM customer;COMMIT ;
The standard secondary index in 5.0 uses the plasma storage engine in the enterprise edition, which uses the lock-free skip list like MOI, but supports large indexes that don't fit in memory.2. Memory Optimized Index
A memory-optimized index uses a novel lock-free skiplist to maintain the index and keeps 100% of the index data in memory. A memory-optimized index (MOI) has better latency for index scans and can also process the mutations of the data much faster.Full Text Search
Couchbase Full-Text Search (FTS) is created with three main motivations:Full Text Search kullanarak Geospatial arama yapmak bile mümkün. Bir örnek burada
- Transparently search across multiple fields within a document
- Go beyond the exact matching of values by providing language based stemming, fuzzy matching, etc.
- Provide the search results based on relevance