bw.Close()
	}

	reader := newBitrotReader(disk, nil, volume, filePath, 35, bitrotAlgo, bitrotWriterSum(writer), 10)
	b := make([]byte, 10)
	if _, err = reader.ReadAt(b, 0); err != nil {
		t.Fatal(err)
	}
	if _, err = reader.ReadAt(b, 10); err != nil {
		t.Fatal(err)
	}
	if _, err = reader.ReadAt(b, 20); err != nil {
		t.Fatal(err)
	}
	if _, err = reader.ReadAt(b[:5], 30); err != nil {
		t.Fatal(err)
	}

      total += read;
      Java8Compatibility.clear(buf);
    }
    return total;
  }

  /**
   * Discards {@code n} characters of data from the reader. This method will block until the full
   * amount has been skipped. Does not close the reader.
   *
   * @param reader the reader to read from
   * @param n the number of characters to skip

    try {
      Reader reader = closer.register(openStream());
      return countBySkipping(reader);
    } catch (Throwable e) {
      throw closer.rethrow(e);
    } finally {
      closer.close();
    }
  }

  private long countBySkipping(Reader reader) throws IOException {
    long count = 0;
    long read;
    while ((read = reader.skip(Long.MAX_VALUE)) != 0) {
      count += read;

func HardLimitReader(r io.Reader, n int64) io.Reader { return &HardLimitedReader{r, n} }

// A HardLimitedReader reads from R but limits the amount of
// data returned to just N bytes. Each call to Read
// updates N to reflect the new amount remaining.
// Read returns EOF when N <= 0 or when the underlying R returns EOF.
type HardLimitedReader struct {
	R io.Reader // underlying reader
	N int64     // max bytes remaining
}

```

### Add suggest documents from source of index

Elasticsearchにインデックスされているコンテンツを解析してサジェストドキュメントを生成します。

```java
DocumentReader reader = new ESSourceReader(
    client,
    suggester.settings(),
    "contentIndexName",
    "contentTypeName");
suggester.indexer().indexFromDocument(reader, 2, 100).getResponse();
```

### Add suggest document from queryLog

クエリーログ（query_string）を解析してサジェストドキュメントを登録

```java

For more information, see
https://www.iana.org/time-zones
ftp://ftp.iana.org/tz/code/tz-link.html
https://datatracker.ietf.org/doc/html/rfc6557

After Prometheus is configured, you can use Grafana to visualize MinIO metrics. Refer the [document here to setup Grafana with MinIO prometheus metrics](https://github.com/minio/minio/blob/master/docs/metrics/prometheus/grafana/README.md).

## List of metrics exposed by MinIO

- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`. 

* SQL Builder, Upsert, Locking, Optimizer/Index/Comment Hints, NamedArg, Search/Update/Create with SQL Expr
* Composite Primary Key
* Auto Migrations
* Logger
* Extendable, flexible plugin API: Database Resolver (Multiple Databases, Read/Write Splitting) / Prometheus…
* Every feature comes with tests
* Developer Friendly

## Getting Started

* GORM Guides [https://gorm.io](https://gorm.io)

		reader.preferReaders(prefer)
	}
	defer reader.Done()

	startBlock := int64(0)
	endBlock := totalLength / e.blockSize
	if totalLength%e.blockSize != 0 {
		endBlock++
	}

	var bufs [][]byte
	for block := startBlock; block < endBlock; block++ {
		var err error
		bufs, err = reader.Read(bufs)
		if len(bufs) > 0 {
			if errors.Is(err, errFileNotFound) || errors.Is(err, errFileCorrupt) {
				if derr == nil {

Austin Clements <******@****.***> 1682707878 -0400