db.AddError(ErrUnsupportedDriver)
	}
	return db
}

// Exec executes raw sql
func (db *DB) Exec(sql string, values ...interface{}) (tx *DB) {
	tx = db.getInstance()
	tx.Statement.SQL = strings.Builder{}

	if strings.Contains(sql, "@") {
		clause.NamedExpr{SQL: sql, Vars: values}.Build(tx.Statement)
	} else {
		clause.Expr{SQL: sql, Vars: values}.Build(tx.Statement)
	}

		}
	*/
	_ = realSize

	// Write PAX records to the output.
	isGlobal := hdr.Typeflag == TypeXGlobalHeader
	if len(paxHdrs) > 0 || isGlobal {
		// Write each record to a buffer.
		var buf strings.Builder
		// Sort keys for deterministic ordering.
		for _, k := range slices.Sorted(maps.Keys(paxHdrs)) {
			rec, err := formatPAXRecord(k, paxHdrs[k])
			if err != nil {
				return err
			}
			buf.WriteString(rec)

		return fmt.Sprintf("%s:TIMESTAMP", x)
	case string:
		return fmt.Sprintf("\"%s\":%s", x, v.GetTypeString())
	case []byte:
		return fmt.Sprintf("\"%s\":BYTES", string(x))
	case []Value:
		var s strings.Builder
		s.WriteByte('[')
		for i, v := range x {
			s.WriteString(v.Repr())
			if i < len(x)-1 {
				s.WriteByte(',')
			}
		}
		s.WriteString("]:ARRAY")
		return s.String()
	case Missing:

    /** The sequence number of the most recently committed edit to this entry. */
    internal var sequenceNumber: Long = 0

    init {
      // The names are repetitive so re-use the same builder to avoid allocations.
      val fileBuilder = StringBuilder(key).append('.')
      val truncateTo = fileBuilder.length
      for (i in 0 until valueCount) {
        fileBuilder.append(i)

   */
  private void ensureCapacity(int minCapacity) {
    if (nextInBucketKToV.length < minCapacity) {
      int oldCapacity = nextInBucketKToV.length;
      int newCapacity = ImmutableCollection.Builder.expandedCapacity(oldCapacity, minCapacity);

      keys = Arrays.copyOf(keys, newCapacity);
      values = Arrays.copyOf(values, newCapacity);
      nextInBucketKToV = expandAndFillWithAbsent(nextInBucketKToV, newCapacity);

import org.codelibs.core.io.InputStreamUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.core.misc.Pair;
import org.codelibs.fess.crawler.Constants;
import org.codelibs.fess.crawler.builder.RequestDataBuilder;
import org.codelibs.fess.crawler.container.CrawlerContainer;
import org.codelibs.fess.crawler.entity.AccessResultData;
import org.codelibs.fess.crawler.entity.RequestData;

### **4.2 WordCount**

WordCount is a simple program that counts how often a word occurs in a text file. The code builds a dataset of (String, Int) pairs called counts, and saves the dataset to a file.

The following example submits WordCount code to the Scala shell. Select an input file for the Spark WordCount example. We can use any text file as input.

	listedConfigItems, err := iamOS.listAllIAMConfigItems(ctx)
	if err != nil {
		return fmt.Errorf("unable to list IAM data: %w", err)
	}
	if took := time.Since(listStartTime); took > maxIAMLoadOpTime {
		var s strings.Builder
		for k, v := range listedConfigItems {
			s.WriteString(fmt.Sprintf("    %s: %d items\n", k, len(v)))
		}
		logger.Info("listAllIAMConfigItems took %.2fs with contents:\n%s", took.Seconds(), s.String())
	}

    }

    @Before
    public void before() throws Exception {
        runner.admin().indices().prepareDelete("_all").execute().actionGet();
        runner.refresh();
        suggester = Suggester.builder().build(runner.client(), "SuggesterTest");
        suggester.createIndexIfNothing();
    }

    @Test
    public void test_indexAndSuggest() throws Exception {
        SuggestItem[] items = getItemSet1();

func (m Migrator) CreateView(name string, option gorm.ViewOption) error {
	if option.Query == nil {
		return gorm.ErrSubQueryRequired
	}

	sql := new(strings.Builder)
	sql.WriteString("CREATE ")
	if option.Replace {
		sql.WriteString("OR REPLACE ")
	}
	sql.WriteString("VIEW ")
	m.QuoteTo(sql, name)
	sql.WriteString(" AS ")