doColumn("createdBy");
        }

        public void columnCreatedTime() {
            doColumn("createdTime");
        }

        public void columnDepth() {
            doColumn("depth");
        }

        public void columnDescription() {
            doColumn("description");
        }

        public void columnExcludedDocUrls() {
            doColumn("excludedDocUrls");
        }

```java
// Set maximum number of URLs to crawl
crawler.crawlerContext.setMaxAccessCount(1000);

// Set number of crawler threads
crawler.crawlerContext.setNumOfThread(10);

// Set maximum crawl depth
crawler.crawlerContext.setMaxDepth(3);

// Set request interval (politeness)
crawler.crawlerContext.setDefaultIntervalTime(1000); // 1 second
```

### URL Filtering

```java
// Include patterns

            }

            @Override
            public Integer getDepth() {
                return null;
            }

            @Override
            public void setDepth(Integer depth) {
            }

            @Override
            public Long getLastModified() {
                return null;
            }

            @Override

| Collection | WebConfig or FileConfig |
| Start URLs | URLs field in crawl config |
| Good URL Pattern | Included URLs (regex) |
| Bad URL Pattern | Excluded URLs (regex) |
| Follow/Index Pattern | Config Depth and Filter settings |

**Implementation Details**

See the GSA parser implementation: [GsaConfigParser.java](/src/main/java/org/codelibs/fess/util/GsaConfigParser.java)

#### API Compatibility Mode

 *
 * <ul>
 *   <li>for an unnested {@code lock()} and {@code unlock()}, a cycle detecting lock takes 38ns as
 *       opposed to the 24ns taken by a plain lock.
 *   <li>for nested locking, the cost increases with the depth of the nesting:
 *       <ul>
 *         <li>2 levels: average of 64ns per lock()/unlock()
 *         <li>3 levels: average of 77ns per lock()/unlock()
 *         <li>4 levels: average of 99ns per lock()/unlock()

            result.setCreatedBy(DfTypeUtil.toString(source.get("createdBy")));
            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setDepth(DfTypeUtil.toInteger(source.get("depth")));
            result.setDescription(DfTypeUtil.toString(source.get("description")));
            result.setExcludedDocUrls(DfTypeUtil.toString(source.get("excludedDocUrls")));

  }

  /**
   * Returns a dispatcher that dispatches events to subscribers immediately as they're posted
   * without using an intermediate queue to change the dispatch order. This is effectively a
   * depth-first dispatch order, vs. breadth-first when using a queue.
   */
  static Dispatcher immediate() {
    return ImmediateDispatcher.INSTANCE;
  }

labels.authRealm=Realm
labels.available=Status
labels.createdBy=Created By
labels.createdTime=Created Time
labels.depth=Depth
labels.excludedPaths=Excluded Paths for Crawling
labels.excludedUrls=Excluded URLs for Crawling
labels.excludedDocPaths=Excluded Paths for Searching
labels.excludedDocUrls=Excluded URLs for Searching
labels.hostname=Hostname
labels.id=ID
labels.includedPaths=Included Paths for Crawling

            result.setCreatedBy(DfTypeUtil.toString(source.get("createdBy")));
            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setDepth(DfTypeUtil.toInteger(source.get("depth")));
            result.setDescription(DfTypeUtil.toString(source.get("description")));
            result.setExcludedDocPaths(DfTypeUtil.toString(source.get("excludedDocPaths")));

 *
 * <ul>
 *   <li>for an unnested {@code lock()} and {@code unlock()}, a cycle detecting lock takes 38ns as
 *       opposed to the 24ns taken by a plain lock.
 *   <li>for nested locking, the cost increases with the depth of the nesting:
 *       <ul>
 *         <li>2 levels: average of 64ns per lock()/unlock()
 *         <li>3 levels: average of 77ns per lock()/unlock()
 *         <li>4 levels: average of 99ns per lock()/unlock()