* | `http://host/?`                   | `""`                   |
   * | `http://host/?a=apple&k=key+lime` | `"a=apple&k=key+lime"` |
   * | `http://host/?a=apple&a=apricot`  | `"a=apple&a=apricot"`  |
   * | `http://host/?a=apple&b`          | `"a=apple&b"`          |
   */
  @get:JvmName("encodedQuery")
  val encodedQuery: String?
    get() {

ntent:"\f36e"}.fa-angular:before{content:"\f420"}.fa-ankh:before{content:"\f644"}.fa-app-store:before{content:"\f36f"}.fa-app-store-ios:before{content:"\f370"}.fa-apper:before{content:"\f371"}.fa-apple:before{content:"\f179"}.fa-apple-alt:before{content:"\f5d1"}.fa-apple-pay:before{content:"\f415"}.fa-archive:before{content:"\f187"}.fa-archway:before{content:"\f557"}.fa-arrow-alt-circle-down:before{content:"\f358"}.fa-arrow-alt-circle-left:before{content:"\f359"}.fa-arrow-alt-circle-right:before...

				"application/vnd.anser-web-funds-transfer-initiation",
				"application/vnd.antix.game-component",
				"application/vnd.apple.installer+xml",
				"application/vnd.apple.iwork",
				"application/vnd.apple.keynote",
				"application/vnd.apple.pages",
				"application/vnd.apple.numbers",
				"application/x-tika-iworks-protected",
				"application/vnd.arastra.swi",
				"application/vnd.audiograph",

ntent:"\f36e"}.fa-angular:before{content:"\f420"}.fa-ankh:before{content:"\f644"}.fa-app-store:before{content:"\f36f"}.fa-app-store-ios:before{content:"\f370"}.fa-apper:before{content:"\f371"}.fa-apple:before{content:"\f179"}.fa-apple-alt:before{content:"\f5d1"}.fa-apple-pay:before{content:"\f415"}.fa-archive:before{content:"\f187"}.fa-archway:before{content:"\f557"}.fa-arrow-alt-circle-down:before{content:"\f358"}.fa-arrow-alt-circle-left:before{content:"\f359"}.fa-arrow-alt-circle-right:before...

func TestCSVQueries3(t *testing.T) {
	input := `na.me,qty,CAST
apple,1,true
mango,3,false
`
	testTable := []struct {
		name       string
		query      string
		requestXML []byte // override request XML
		wantResult string
	}{
		{
			name:  "Select a column containing dot",
			query: `select "na.me" from S3Object s`,
			wantResult: `apple
mango`,
		},
		{

    // Write the mocking script.
    peer.sendFrame().settings(Settings())
    peer.acceptFrame() // ACK
    peer.acceptFrame() // SYN_STREAM 3
    peer.sendFrame().headers(false, 3, headerEntries("a", "apple"))
    peer.sendFrame().data(false, 3, data(1024), 1024)
    peer.acceptFrame() // RST_STREAM
    peer.sendFrame().data(true, 3, data(1024), 1024)
    peer.acceptFrame() // RST_STREAM
    peer.play()

// Usage hint: Should be used at the end of the API end points tests (ex: check the last few lines of `testAPIListObjectPartsHandler`),
// need a sample HTTP request to be sent as argument so that the relevant handler is called, the handler registration is expected
// to be done since its called from within the API handler tests, the reference to the registered HTTP handler has to be sent

mc event list myminio/images
arn:minio:sqs::1:nats s3:ObjectCreated:*,s3:ObjectRemoved:* Filter: suffix=”.jpg”
```

### Step 3: Test on NATS

If you use NATS server, check out this sample program below to log the bucket notification added to NATS.

```go
package main

// Import Go and NATS packages
import (
 "log"
 "runtime"

 "github.com/nats-io/nats.go"
)

		// as a List() call is an important performance improvement.
		//
		// Spark based s3a committers are a  big enough use-case to have this optimization.
		//
		// A sample code to see the improvements is as follows, this sample code is
		// simply a read on JSON from MinIO and write it back as "parquet".
		//
		// import org.apache.spark.sql.SparkSession

   *
   * <p>Example:
   *
   * <pre>{@code
   * static final ListMultimap<Character, String> FIRST_LETTER_MULTIMAP =
   *     Stream.of("banana", "apple", "carrot", "asparagus", "cherry")
   *         .collect(
   *             toMultimap(
   *                  str -> str.charAt(0),
   *                  str -> str.substring(1),