> For the complete documentation index, see [llms.txt](https://hezhiqiang.gitbook.io/elasticsearch/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://hezhiqiang.gitbook.io/elasticsearch/distributed_crud/create_index_delete.md).

# 创建索引删除

Create, index and delete requests are *write* operations, which must be successfully completed on the primary shard before they can be copied to any associated replica shards.

\[\[img-distrib-write]] .Creating, indexing or deleting a single document image::images/04-02\_write.png\["Creating, indexing or deleting a single document"]

Below we list the sequence of steps necessary to successfully create, index or delete a document on both the primary and any replica shards, as depicted in <>:

1. The client sends a create, index or delete request to `Node_1`.
2. The node uses the document's `_id` to determine that the document belongs to shard `0`. It forwards the request to `Node 3`, where the primary copy of shard `0` is currently allocated.
3. `Node 3` executes the request on the primary shard. If it is successful, it forwards the request in parallel to the replica shards on `Node 1` and `Node 2`. Once all of the replica shards report success, `Node 3` reports success to the requesting node, which reports success to the client.

By the time the client receives a successful response, the document change has been executed on the primary shard and on all replica shards. Your change is safe.

There are a number of optional request parameters which allow you to influence this process, possibly increasing performance at the cost of data security. These options are seldom used because Elasticsearch is already fast, but they are explained here for the sake of completeness.

`replication`::

### +

The default value for replication is `sync`. This causes the primary shard to wait for successful responses from the replica shards before returning.

If you set `replication` to `async`, then it will return success to the client as soon as the request has been executed on the primary shard. It will still forward the request to the replicas, but you will not know if the replicas succeeded or not.

It is advisable to use the default `sync` replication as it is possible to overload Elasticsearch by sending too many requests without waiting for their

### completion.

`consistency`::

### +

By default, the primary shard requires a *quorum* or majority of shard copies (where a shard copy can be a primary or a replica shard) to be available before even attempting a write operation. This is to prevent writing data to the \`\`wrong side'' of a network partition. A quorum is defined as:

```
int( (primary + number_of_replicas) / 2 ) + 1
```

The allowed values for `consistency` are `one` (just the primary shard), `all` (the primary and all replicas) or the default `quorum` or majority of shard copies.

Note that the `number_of_replicas` is the number of replicas *specified* in the index settings, not the number of replicas that are currently active. If you have specified that an index should have 3 replicas then a quorum would be:

```
int( (primary + 3 replicas) / 2 ) + 1 = 3
```

But if you only start 2 nodes, then there will be insufficient active shard copies to satisfy the quorum and you will be unable to index or delete any documents.

\--

`timeout`::

What happens if insufficient shard copies are available? Elasticsearch waits, in the hope that more shards will appear. By default it will wait up to one minute. If you need to, you can use the `timeout` parameter to make it abort sooner: `100` is 100 milliseconds, `30s` is 30 seconds.

## \[NOTE]

A new index has `1` replica by default, which means that two active shard copies *should* be required in order to satisfy the need for a `quorum`. However, these default settings would prevent us from doing anything useful with a single-node cluster. To avoid this problem, the requirement for

## a quorum is only enforced when `number_of_replicas` is greater than `1`.