<key>.*</key>
		<true/>
		<key>Info.plist</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<integer>10</integer>
		</dict>
		<key>ResourceRules.plist</key>
		<dict>
			<key>omit</key>
			<true/>
			<key>weight</key>
			<integer>100</integer>
		</dict>
	</dict>
</dict>
</plist>

import org.opensearch.index.query.RangeQueryBuilder;
import org.opensearch.index.query.RegexpQueryBuilder;
import org.opensearch.index.query.SpanTermQueryBuilder;
import org.opensearch.index.query.TermQueryBuilder;
import org.opensearch.index.query.TermsQueryBuilder;
import org.opensearch.index.query.WildcardQueryBuilder;
import org.opensearch.index.query.functionscore.FunctionScoreQueryBuilder;

    # o cursorSelectFetchSize: (NotRequired - Default null)
    #  The fetch size of JDBC parameter for cursor select.
    #  For example, specify Integer.MIN_VALUE to enable fetch of MySQL.
    #
    #; cursorSelectFetchSize = Integer.MIN_VALUE
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -

    // The number of bytes in the input.
    private long b = 0;

    // The final 64-bit chunk includes the last 0 through 7 bytes of m followed by null bytes
    // and ending with a byte encoding the positive integer b mod 256.
    private long finalM = 0;

    SipHasher(int c, int d, long k0, long k1) {
      super(CHUNK_SIZE);
      this.c = c;
      this.d = d;
      this.v0 ^= k0;
      this.v1 ^= k1;

 */
@GwtCompatible(emulated = true)
public class DoubleMathTest extends TestCase {

  private static final BigDecimal MAX_INT_AS_BIG_DECIMAL = BigDecimal.valueOf(Integer.MAX_VALUE);
  private static final BigDecimal MIN_INT_AS_BIG_DECIMAL = BigDecimal.valueOf(Integer.MIN_VALUE);

  private static final BigDecimal MAX_LONG_AS_BIG_DECIMAL = BigDecimal.valueOf(Long.MAX_VALUE);

        final List<String> items = new ArrayList<>();
        for (int i = 0; i < 32; i++) {
            items.add(Integer.toString(i));
        }
        for (int i = 40; i < 370; i += 10) {
            items.add(Integer.toString(i));
        }
        items.add(Integer.toString(365));
        return items;
    }

            return null;
        }
    }

    protected Integer getDefaultInteger(final String key, final Integer defaultValue) {
        final String value = systemProperties.getProperty(key);
        if (value != null) {
            try {
                return Integer.parseInt(value);
            } catch (final NumberFormatException e) {}
        }
        return defaultValue;

                int index = auth.indexOf(':');
                String user = (index != -1) ? auth.substring(0, index) : auth;
                String password = (index != -1) ? auth.substring(index + 1) :
                        "";
                index = user.indexOf('\\');
                if (index == -1) index = user.indexOf('/');
                String domain = (index != -1) ? user.substring(0, index) :

1. Go to kibana home [http://localhost:5601/](http://localhost:5601/).
1. Click **Management**.
1. Click **Index Patterns**.
1. Click **Create index pattern** button
1. Input "fess\_log\*" to the textbox of **index pattern**.
1. Click **Next step**.
1. Set "requestedAt" to the **Time Filter field name**.
1. Click **Create index pattern**.
1. Click **Saved Objects**.
1. Click **Import** and select "fess\_log.ndjson" to import example settings.

      "term": {
        "type": "keyword"
      },
      "content": {
        "type": "keyword"
      },
      "virtualHost": {
        "type": "keyword"
      },
      "sortOrder": {
        "type": "integer"
      },
      "createdBy": {
        "type": "keyword"
      },
      "createdTime": {
        "type": "long"
      },
      "updatedBy": {
        "type": "keyword"
      },
      "updatedTime": {