CacheBuilder.newBuilder()
            .maximumSize(MAX_SIZE)
            .removalListener(removalListener)
            .build(loader);
    for (int i = 0; i < 2 * MAX_SIZE; i++) {
      cache.getUnchecked(i);
      assertTrue(cache.size() <= MAX_SIZE);
    }

    assertEquals(MAX_SIZE, CacheTesting.accessQueueSize(cache));
    assertEquals(MAX_SIZE, cache.size());
    CacheTesting.processPendingNotifications(cache);

        this.createdTime = value;
    }

    public Integer getMaxSize() {
        checkSpecifiedProperty("maxSize");
        return maxSize;
    }

    public void setMaxSize(Integer value) {
        registerModifiedProperty("maxSize");
        this.maxSize = value;
    }

    public String getQuery() {
        checkSpecifiedProperty("query");
        return convertEmptyToNull(query);

 * small portion of these would be in use.
 *
 * <p>Prior to this class, one might be tempted to use {@code Map<K, Lock>}, where {@code K}
 * represents the task. This maximizes concurrency by having each unique key mapped to a unique
 * lock, but also maximizes memory footprint. On the other extreme, one could use a single lock for
 * all tasks, which minimizes memory footprint but also minimizes concurrency. Instead of choosing

    }

    public void setMaxSize_Avg(ConditionOptionCall<AvgAggregationBuilder> opLambda) {
        setMaxSize_Avg("maxSize", opLambda);
    }

    public void setMaxSize_Avg(String name, ConditionOptionCall<AvgAggregationBuilder> opLambda) {
        AvgAggregationBuilder builder = regAvgA(name, "maxSize");
        if (opLambda != null) {
            opLambda.callback(builder);
        }
    }

        asDocMeta().version(version);
    }

    @Override
    public String toString() {
        return "KeyMatch [boost=" + boost + ", createdBy=" + createdBy + ", createdTime=" + createdTime + ", maxSize=" + maxSize
                + ", query=" + query + ", term=" + term + ", updatedBy=" + updatedBy + ", updatedTime=" + updatedTime + ", docMeta="
                + docMeta + "]";
    }

    }

    public void setMaxSize_Equal(Integer maxSize) {
        setMaxSize_Term(maxSize, null);
    }

    public void setMaxSize_Equal(Integer maxSize, ConditionOptionCall<TermQueryBuilder> opLambda) {
        setMaxSize_Term(maxSize, opLambda);
    }

    public void setMaxSize_Term(Integer maxSize) {
        setMaxSize_Term(maxSize, null);
    }

labels.confirmPassword=Bestätigen
labels.crawler=Crawler
labels.crudMode=Modus
labels.errorCountMax=Maximale Fehleranzahl
labels.errorCountMin=Minimale Fehleranzahl
labels.facet=Facette
labels.geo=Geo
labels.groups=Gruppen
labels.hash=Hash
labels.kuromojiFile=Kuromoji-Datei
labels.maxSize=Maximale Größe
labels.order=Reihenfolge
labels.purgeSuggestSearchLogDay=Alte Vorschlagsinformationen löschen
labels.q=Abfrage

    }
  }

  public void testSetMaximumSize() {
    // vary maximumSize wrt concurrencyLevel

    for (int maxSize = 1; maxSize < 100; maxSize++) {
      checkMaximumSize(1, 8, maxSize);
      checkMaximumSize(2, 8, maxSize);
      checkMaximumSize(4, 8, maxSize);
      checkMaximumSize(8, 8, maxSize);
    }

    checkMaximumSize(1, 8, Long.MAX_VALUE);
    checkMaximumSize(2, 8, Long.MAX_VALUE);

      }

      @Override
      int minSize() {
        int difference = minSize(set1) - maxSize(set2);
        return difference >= 0 ? difference : max(minSize(set2) - maxSize(set1), 0);
      }

      @Override
      int maxSize() {
        return saturatedAdd(maxSize(set1), maxSize(set2));
      }
    };
  }

  /**

            false, false, "Long", 0, 0, null, null, false, null, null, null, null, null, false);
    protected final ColumnInfo _columnMaxSize = cci("maxSize", "maxSize", null, null, Integer.class, "maxSize", null, false, false, false,
            "Integer", 0, 0, null, null, false, null, null, null, null, null, false);