Added new examples (#1031)

* Added new examples

* Fixed examples links

docs/examples/sql.asciidoc

@@ -0,0 +1,64 @@
+[[sql_examples]]
+== SQL
+
+Elasticsearch SQL is an X-Pack component that allows SQL-like queries to be executed in real-time against Elasticsearch. Whether using the REST interface, command-line or JDBC, any client can use SQL to search and aggregate data natively inside Elasticsearch. One can think of Elasticsearch SQL as a translator, one that understands both SQL and Elasticsearch and makes it easy to read and process data in real-time, at scale by leveraging Elasticsearch capabilities.
+
+In the following example we will search all the documents that has the field `house` equals to `stark`, log the result with the tabular view and then manipulate the result to obtain an object easy to navigate. 
+
+[source,js]
+----
+'use strict'
+
+const { Client } = require('@elastic/elasticsearch')
+const client = new Client({ node: 'http://localhost:9200' })
+
+async function run () {
+  await client.index({
+    index: 'game-of-thrones',
+    body: {
+      character: 'Ned Stark',
+      quote: 'Winter is coming.',
+      house: 'stark'
+    }
+  })
+
+  await client.index({
+    index: 'game-of-thrones',
+    body: {
+      character: 'Arya Stark',
+      quote: 'A girl is Arya Stark of Winterfell. And I\'m going home.',
+      house: 'stark'
+    }
+  })
+
+  await client.index({
+    index: 'game-of-thrones',
+    refresh: true,
+    body: {
+      character: 'Tyrion Lannister',
+      quote: 'A Lannister always pays his debts.',
+      house: 'lannister'
+    }
+  })
+
+  const { body } = await client.sql.query({
+    body: {
+      query: "SELECT * FROM \"game-of-thrones\" WHERE house='stark'"
+    }
+  })
+
+  console.log(body)
+
+  const data = body.rows.map(row => {
+    const obj = {}
+    for (var i = 0; i < row.length; i++) {
+      obj[body.columns[i].name] = row[i]
+    }
+    return obj
+  })
+
+  console.log(data)
+}
+
+run().catch(console.log)
+----