General refactoring

README.md

@@ -207,7 +207,7 @@ Key:
 + MF = "multifield" baseline (Lucene analyzer)
 + U1 = uniCOIL (noexp)
 + S1 = SPLADE-distill CoCodenser-medium
-+ S2 = SPLADE++ (CoCondenser-EnsembleDistil)
++ S2 = SPLADE++ CoCondenser-EnsembleDistil
 
 | Corpus                  |                                      F1                                       |                                        F2                                        |                                         MF                                          |                                           U1                                           |                                                    S1                                                    |                                       S2                                              |
 |-------------------------|:-----------------------------------------------------------------------------:|:--------------------------------------------------------------------------------:|:-----------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------:|:--------------------------------------------------------------------------------------------------------:|:-------------------------------------------------------------------------------------:|

docs/regressions/regressions-dl19-passage-cos-dpr-distil-fw.md

@@ -76,7 +76,7 @@ target/appassembler/bin/SearchInvertedDenseVectors \
   -topics tools/topics-and-qrels/topics.dl19-passage.cos-dpr-distil.jsonl.gz \
   -topicReader JsonIntVector \
   -output runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil-fw-40.topics.dl19-passage.cos-dpr-distil.jsonl.txt \
-  -topicField vector -encoding fw -fw.q 40 -hits 1000 &
+  -topicField vector -threads 16 -encoding fw -fw.q 40 -hits 1000 &
 ```
 
 Evaluation can be performed using `trec_eval`:

docs/regressions/regressions-dl19-passage-cos-dpr-distil-lexlsh.md

@@ -76,7 +76,7 @@ target/appassembler/bin/SearchInvertedDenseVectors \
   -topics tools/topics-and-qrels/topics.dl19-passage.cos-dpr-distil.jsonl.gz \
   -topicReader JsonIntVector \
   -output runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil-lexlsh-600.topics.dl19-passage.cos-dpr-distil.jsonl.txt \
-  -topicField vector -encoding lexlsh -lexlsh.b 600 -hits 1000 &
+  -topicField vector -threads 16 -encoding lexlsh -lexlsh.b 600 -hits 1000 &
 ```
 
 Evaluation can be performed using `trec_eval`:

docs/regressions/regressions-dl20-passage-cos-dpr-distil-fw.md

@@ -76,7 +76,7 @@ target/appassembler/bin/SearchInvertedDenseVectors \
   -topics tools/topics-and-qrels/topics.dl20.cos-dpr-distil.jsonl.gz \
   -topicReader JsonIntVector \
   -output runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil-fw-40.topics.dl20.cos-dpr-distil.jsonl.txt \
-  -topicField vector -encoding fw -fw.q 40 -hits 1000 &
+  -topicField vector -threads 16 -encoding fw -fw.q 40 -hits 1000 &
 ```
 
 Evaluation can be performed using `trec_eval`:

docs/regressions/regressions-dl20-passage-cos-dpr-distil-lexlsh.md

@@ -76,7 +76,7 @@ target/appassembler/bin/SearchInvertedDenseVectors \
   -topics tools/topics-and-qrels/topics.dl20.cos-dpr-distil.jsonl.gz \
   -topicReader JsonIntVector \
   -output runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil-lexlsh-600.topics.dl20.cos-dpr-distil.jsonl.txt \
-  -topicField vector -encoding lexlsh -lexlsh.b 600 -hits 1000 &
+  -topicField vector -threads 16 -encoding lexlsh -lexlsh.b 600 -hits 1000 &
 ```
 
 Evaluation can be performed using `trec_eval`:

docs/regressions/regressions-msmarco-doc-docTTTTTquery.md

@@ -138,7 +138,7 @@ For default parameters (`k1=0.9`, `b=0.4`):
 $ sh target/appassembler/bin/SearchCollection \
     -index indexes/lucene-index.msmarco-doc-docTTTTTquery/ \
     -topics tools/topics-and-qrels/topics.msmarco-doc.dev.txt \
-    -topicReader TsvInt \
+    -topicreader TsvInt \
     -output runs/run.msmarco-doc-docTTTTTquery.bm25-default.txt \
     -format msmarco \
     -bm25 -hits 100
@@ -159,7 +159,7 @@ For tuned parameters (`k1=4.68`, `b=0.87`):
 $ sh target/appassembler/bin/SearchCollection \
     -index indexes/lucene-index.msmarco-doc-docTTTTTquery/ \
     -topics tools/topics-and-qrels/topics.msmarco-doc.dev.txt \
-    -topicReader TsvInt \
+    -topicreader TsvInt \
     -output runs/run.msmarco-doc-docTTTTTquery.bm25-tuned.txt \
     -format msmarco \
     -bm25 -bm25.k1 4.68 -bm25.b 0.87 -hits 100

docs/regressions/regressions-msmarco-doc-segmented-docTTTTTquery.md

@@ -109,7 +109,7 @@ The MaxP passage retrieval functionality is available in `SearchCollection`.
 To generate an MS MARCO submission with the BM25 default parameters, corresponding to "BM25 (default)" above:
 
 ```bash
-$ sh target/appassembler/bin/SearchCollection -topicReader TsvString \
+$ sh target/appassembler/bin/SearchCollection -topicreader TsvString \
     -topics tools/topics-and-qrels/topics.msmarco-doc.dev.txt \
     -index indexes/lucene-index.msmarco-doc-segmented-docTTTTTquery/ \
     -output runs/run.msmarco-doc-segmented-docTTTTTquery.bm25-default.txt -format msmarco \
@@ -131,7 +131,7 @@ Note that the above command uses `-format msmarco` to directly generate a run in
 To generate an MS MARCO submission with the BM25 tuned parameters, corresponding to "BM25 (tuned)" above:
 
 ```bash
-$ sh target/appassembler/bin/SearchCollection -topicReader TsvString \
+$ sh target/appassembler/bin/SearchCollection -topicreader TsvString \
     -topics tools/topics-and-qrels/topics.msmarco-doc.dev.txt \
     -index indexes/lucene-index.msmarco-doc-segmented-docTTTTTquery/ \
     -output runs/run.msmarco-doc-segmented-docTTTTTquery.bm25-tuned.txt -format msmarco \

docs/regressions/regressions-msmarco-doc-segmented-unicoil.md

@@ -117,7 +117,7 @@ The following command generates a comparable run:
 target/appassembler/bin/SearchCollection \
   -index indexes/lucene-index.msmarco-doc-segmented-unicoil/ \
   -topics tools/topics-and-qrels/topics.msmarco-doc.dev.unicoil.tsv.gz \
-  -topicReader TsvInt \
+  -topicreader TsvInt \
   -output runs/run.msmarco-doc-segmented-unicoil.msmarco-doc.dev.txt \
   -format msmarco \
   -impact -pretokenized -hits 10000 -selectMaxPassage -selectMaxPassage.delimiter "#" -selectMaxPassage.hits 100

docs/regressions/regressions-msmarco-doc-segmented.md

@@ -109,7 +109,7 @@ The MaxP passage retrieval functionality is available in `SearchCollection`.
 To generate an MS MARCO submission with the BM25 default parameters, corresponding to "BM25 (default)" above:
 
 ```bash
-$ target/appassembler/bin/SearchCollection -topicReader TsvString \
+$ target/appassembler/bin/SearchCollection -topicreader TsvString \
    -topics tools/topics-and-qrels/topics.msmarco-doc.dev.txt \
    -index indexes/lucene-index.msmarco-doc-segmented/ \
    -output runs/run.msmarco-doc-segmented.bm25-default.txt -format msmarco \
@@ -132,7 +132,7 @@ Note that the above command uses `-format msmarco` to directly generate a run in
 To generate an MS MARCO submission with the BM25 tuned parameters, corresponding to "BM25 (tuned)" above:
 
 ```bash
-$ target/appassembler/bin/SearchCollection -topicReader TsvString \
+$ target/appassembler/bin/SearchCollection -topicreader TsvString \
    -topics tools/topics-and-qrels/topics.msmarco-doc.dev.txt \
    -index indexes/lucene-index.msmarco-doc-segmented/ \
    -output runs/run.msmarco-doc-segmented.bm25-tuned.txt -format msmarco \

docs/regressions/regressions-msmarco-doc.md

@@ -173,7 +173,7 @@ For default parameters (`k1=0.9`, `b=0.4`):
 $ sh target/appassembler/bin/SearchCollection \
     -index indexes/lucene-index.msmarco-doc/ \
     -topics tools/topics-and-qrels/topics.msmarco-doc.dev.txt \
-    -topicReader TsvInt \
+    -topicreader TsvInt \
     -output runs/run.msmarco-doc.bm25-default.txt \
     -format msmarco \
     -bm25 -hits 100
@@ -194,7 +194,7 @@ For tuned parameters (`k1=4.46`, `b=0.82`):
 $ sh target/appassembler/bin/SearchCollection \
     -index indexes/lucene-index.msmarco-doc/ \
     -topics tools/topics-and-qrels/topics.msmarco-doc.dev.txt \
-    -topicReader TsvInt \
+    -topicreader TsvInt \
     -output runs/run.msmarco-doc.bm25-tuned.txt \
     -format msmarco \
     -bm25 -bm25.k1 4.46 -bm25.b 0.82 -hits 100

docs/regressions/regressions-msmarco-passage-cos-dpr-distil-fw.md

@@ -72,7 +72,7 @@ target/appassembler/bin/SearchInvertedDenseVectors \
   -topics tools/topics-and-qrels/topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.gz \
   -topicReader JsonIntVector \
   -output runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil-fw-40.topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.txt \
-  -topicField vector -encoding fw -fw.q 40 -hits 1000 &
+  -topicField vector -threads 16 -encoding fw -fw.q 40 -hits 1000 &
 ```
 
 Evaluation can be performed using `trec_eval`:

docs/regressions/regressions-msmarco-passage-cos-dpr-distil-lexlsh.md

@@ -72,7 +72,7 @@ target/appassembler/bin/SearchInvertedDenseVectors \
   -topics tools/topics-and-qrels/topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.gz \
   -topicReader JsonIntVector \
   -output runs/run.msmarco-passage-cos-dpr-distil.cos-dpr-distil-lexlsh-600.topics.msmarco-passage.dev-subset.cos-dpr-distil.jsonl.txt \
-  -topicField vector -encoding lexlsh -lexlsh.b 600 -hits 1000 &
+  -topicField vector -threads 16 -encoding lexlsh -lexlsh.b 600 -hits 1000 &
 ```
 
 Evaluation can be performed using `trec_eval`:

docs/regressions/regressions-msmarco-passage-docTTTTTquery.md

@@ -165,7 +165,7 @@ For parameters `k1=0.82`, `b=0.68`:
 $ sh target/appassembler/bin/SearchCollection \
     -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
     -topics tools/topics-and-qrels/topics.msmarco-passage.dev-subset.txt \
-    -topicReader TsvInt \
+    -topicreader TsvInt \
     -output runs/run.msmarco-passage-docTTTTTquery.1 \
     -format msmarco \
     -bm25 -bm25.k1 0.82 -bm25.b 0.68
@@ -185,7 +185,7 @@ For parameters `k1=2.18`, `b=0.86`:
 $ sh target/appassembler/bin/SearchCollection \
     -index indexes/lucene-index.msmarco-passage-docTTTTTquery/ \
     -topics tools/topics-and-qrels/topics.msmarco-passage.dev-subset.txt \
-    -topicReader TsvInt \
+    -topicreader TsvInt \
     -output runs/run.msmarco-passage-docTTTTTquery.2 \
     -format msmarco \
     -bm25 -bm25.k1 2.18 -bm25.b 0.86

docs/regressions/regressions-msmarco-passage.md

@@ -142,7 +142,7 @@ For default parameters (`k1=0.9`, `b=0.4`):
 $ sh target/appassembler/bin/SearchCollection \
     -index indexes/lucene-index.msmarco-passage/ \
     -topics tools/topics-and-qrels/topics.msmarco-passage.dev-subset.txt \
-    -topicReader TsvInt \
+    -topicreader TsvInt \
     -output runs/run.msmarco-passage.bm25.default.tsv \
     -format msmarco \
     -bm25
@@ -162,7 +162,7 @@ For tuned parameters (`k1=0.82`, `b=0.68`):
 $ sh target/appassembler/bin/SearchCollection \
     -index indexes/lucene-index.msmarco-passage/ \
     -topics tools/topics-and-qrels/topics.msmarco-passage.dev-subset.txt \
-    -topicReader TsvInt \
+    -topicreader TsvInt \
     -output runs/run.msmarco-passage.bm25.tuned.tsv \
     -format msmarco \
     -bm25 -bm25.k1 0.82 -bm25.b 0.68

src/main/java/io/anserini/search/SearchHnswDenseVectors.java

@@ -47,6 +47,9 @@
 import java.nio.file.Files;
 import java.nio.file.Path;
 import java.nio.file.Paths;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.List;
 import java.util.Map;
 import java.util.SortedMap;
 import java.util.TreeMap;
@@ -113,6 +116,9 @@ public static class Args {
     @Option(name ="-encoder", metaVar = "[encoder]", usage = "Dense encoder to use.")
     public String encoder = null;
 
+    @Option(name = "-options", usage = "Print information about options.")
+    public Boolean options = false;
+
     // ---------------------------------------------
     // Simple built-in support for passage retrieval
     // ---------------------------------------------
@@ -146,32 +152,36 @@ public static class Args {
   private final IndexSearcher searcher;
   private final VectorQueryGenerator generator;
   private final DenseEncoder queryEncoder;
+  private final SortedMap<K, String> queries = new TreeMap<>();
   private final ConcurrentSkipListMap<K, String> results = new ConcurrentSkipListMap<>();
 
   public SearchHnswDenseVectors(Args args) throws IOException {
     this.args = args;
-    Path indexPath = Paths.get(args.index);
-
-    if (!Files.exists(indexPath) || !Files.isDirectory(indexPath) || !Files.isReadable(indexPath)) {
-      throw new IllegalArgumentException(String.format("Index path '%s' does not exist or is not a directory.", args.index));
-    }
 
     LOG.info("============ Initializing HNSW Searcher ============");
-    LOG.info("Index: " + indexPath);
+    LOG.info("Index: " + args.index);
+    LOG.info("Topics: " + Arrays.toString(args.topics));
     LOG.info("Query generator: " + args.queryGenerator);
     LOG.info("Encoder: " + args.encoder);
     LOG.info("Threads: " + args.threads);
 
-    this.reader = DirectoryReader.open(FSDirectory.open(indexPath));
+    // We might not be able to successfully create a reader for a variety of reasons, anything from path doesn't exist
+    // to corrupt index. Gather all possible exceptions together as an unchecked exception to make initialization and
+    // error reporting clearer.
+    try {
+      this.reader = DirectoryReader.open(FSDirectory.open(Paths.get(args.index)));
+    } catch (IOException e) {
+      throw new IllegalArgumentException(String.format("\"%s\" does not appear to be a valid index.", args.index));
+    }
+
     this.searcher = new IndexSearcher(this.reader);
 
     try {
       this.generator = (VectorQueryGenerator) Class
           .forName(String.format("io.anserini.search.query.%s", args.queryGenerator))
           .getConstructor().newInstance();
     } catch (Exception e) {
-      e.printStackTrace();
-      throw new IllegalArgumentException("Unable to load QueryGenerator: " + args.queryGenerator);
+      throw new IllegalArgumentException(String.format("Unable to load QueryGenerator \"%s\".", args.queryGenerator));
     }
 
     if (args.encoder != null) {
@@ -180,51 +190,65 @@ public SearchHnswDenseVectors(Args args) throws IOException {
             .forName(String.format("io.anserini.encoder.dense.%sEncoder", args.encoder))
             .getConstructor().newInstance();
       } catch (Exception e) {
-        e.printStackTrace();
-        throw new IllegalArgumentException("Unable to load encoder: " + args.encoder);
+        throw new IllegalArgumentException(String.format("Unable to load Encoder \"%s\".", args.encoder));
       }
     } else {
       queryEncoder = null;
     }
 
-  }
-
-  @Override
-  public void close() throws IOException {
-    reader.close();
-  }
-
-  @SuppressWarnings("unchecked")
-  @Override
-  public void run() {
+    // Same as above: we might not be able to successfully read topics for a variety of reasons. Gather all possible
+    // exceptions together as an unchecked exception to make initialization and error reporting clearer.
     SortedMap<K, Map<String, String>> topics = new TreeMap<>();
-    for (String file : args.topics) {
-      Path topicsFilePath = Paths.get(file);
+    for (String singleTopicsFile : args.topics) {
+      Path topicsFilePath = Paths.get(singleTopicsFile);
       if (!Files.exists(topicsFilePath) || !Files.isRegularFile(topicsFilePath) || !Files.isReadable(topicsFilePath)) {
-        throw new IllegalArgumentException("Topics file : " + topicsFilePath + " does not exist or is not a (readable) file.");
+        throw new IllegalArgumentException(String.format("\"%s\" does not appear to be a valid topics file.", topicsFilePath));
       }
       try {
+        @SuppressWarnings("unchecked")
         TopicReader<K> tr = (TopicReader<K>) Class
             .forName(String.format("io.anserini.search.topicreader.%sTopicReader", args.topicReader))
             .getConstructor(Path.class).newInstance(topicsFilePath);
+
         topics.putAll(tr.read());
       } catch (Exception e) {
-        e.printStackTrace();
-        throw new IllegalArgumentException("Unable to load topic reader: " + args.topicReader);
+        throw new IllegalArgumentException(String.format("Unable to load topic reader \"%s\".", args.topicReader));
       }
     }
 
+    // Now iterate through all the topics to pick out the right field with proper exception handling.
+    try {
+      for (Map.Entry<K, Map<String, String>> entry : topics.entrySet()) {
+        K qid = entry.getKey();
+        String query = entry.getValue().get(args.topicField);
+        assert query != null;
+
+        this.queries.put(qid, query);
+      }
+    } catch (AssertionError|Exception e) {
+      throw new IllegalArgumentException(String.format("Unable to read topic field \"%s\".", args.topicField));
+    }
+  }
+
+  @Override
+  public void close() throws IOException {
+    reader.close();
+  }
+
+  @SuppressWarnings("unchecked")
+  @Override
+  public void run() {
     LOG.info("============ Launching Search Threads ============");
     final ThreadPoolExecutor executor = (ThreadPoolExecutor) Executors.newFixedThreadPool(args.threads);
     final AtomicInteger cnt = new AtomicInteger();
 
     final long start = System.nanoTime();
-    for (Map.Entry<K, Map<String, String>> entry : topics.entrySet()) {
+    for (Map.Entry<K, String> entry : queries.entrySet()) {
       K qid = entry.getKey();
 
       // This is the per-query execution, in parallel.
       executor.execute(() -> {
-        String queryString = entry.getValue().get(args.topicField);
+        String queryString = entry.getValue();
         ScoredDocuments docs;
 
         try {
@@ -259,9 +283,9 @@ public void run() {
     }
     final long durationMillis = TimeUnit.MILLISECONDS.convert(System.nanoTime() - start, TimeUnit.NANOSECONDS);
 
-    LOG.info(topics.size() + " queries processed in " +
+    LOG.info(queries.size() + " queries processed in " +
         DurationFormatUtils.formatDuration(durationMillis, "HH:mm:ss") +
-        String.format(" = ~%.2f q/s", topics.size()/(durationMillis/1000.0)));
+        String.format(" = ~%.2f q/s", queries.size()/(durationMillis/1000.0)));
 
     // Now we write the results to a run file.
     try {
@@ -300,9 +324,22 @@ public static void main(String[] args) throws Exception {
     try {
       parser.parseArgument(args);
     } catch (CmdLineException e) {
-      System.err.println(e.getMessage());
-      parser.printUsage(System.err);
-      System.err.println("Example: SearchHnswDenseVectors" + parser.printExample(OptionHandlerFilter.REQUIRED));
+      if (searchArgs.options) {
+        System.err.printf("Options for %s:\n\n", SearchHnswDenseVectors.class.getSimpleName());
+        parser.printUsage(System.err);
+
+        List<String> required = new ArrayList<>();
+        parser.getOptions().forEach((option) -> {
+          if (option.option.required()) {
+            required.add(option.option.toString());
+          }
+        });
+
+        System.err.printf("\nRequired options are %s\n", required);
+      } else {
+        System.err.printf("Error: %s. For help, use \"-options\" to print out information about options.\n", e.getMessage());
+      }
+
       return;
     }
 
@@ -315,7 +352,7 @@ public static void main(String[] args) throws Exception {
       searcher.run();
       searcher.close();
     } catch (IllegalArgumentException e) {
-      System.err.println(e.getMessage());
+      System.err.printf("Error: %s\n", e.getMessage());
       return;
     }