Snow-1936378 add support for vector type for loader

src/main/java/net/snowflake/client/loader/ProcessQueue.java

@@ -265,7 +265,9 @@ public void run() {
                         + "("
                         + _loader.getColumnsAsString()
                         + ")"
-                        + " SELECT * FROM \""
+                        + " SELECT "
+                        + _loader.getStageColumnsAsString()
+                        + " FROM \""
                         + stage.getId()
                         + "\"";
                 break;

src/main/java/net/snowflake/client/loader/StreamLoader.java

@@ -5,12 +5,14 @@
 import java.io.IOException;
 import java.sql.Connection;
 import java.sql.DatabaseMetaData;
+import java.sql.ResultSet;
 import java.sql.SQLException;
 import java.text.DateFormat;
 import java.text.SimpleDateFormat;
 import java.util.ArrayList;
 import java.util.Calendar;
 import java.util.GregorianCalendar;
+import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
 import java.util.Properties;
@@ -83,6 +85,11 @@ public class StreamLoader implements Loader, Runnable {
 
   private List<String> _columns;
 
+  private Map<String, Integer> _vectorColumnsNameAndSize = new HashMap<String, Integer>();
+
+  // Set vector type to float by default.
+  private String _vectorType = "float";
+
   private List<String> _keys;
 
   private long _batchRowSize = DEFAULT_BATCH_ROW_SIZE;
@@ -178,6 +185,7 @@ public void setProperty(LoaderProperty property, Object value) {
             typeCheckedColumns.add((String) e);
           }
           _columns = typeCheckedColumns;
+          setVectorColumns();
         }
         break;
       case keys:
@@ -598,6 +606,34 @@ private void truncateTargetTable() {
     }
   }
 
+  public void setVectorColumnType(String vectorType) {
+    this._vectorType = vectorType;
+  }
+
+  public void setVectorColumns() {
+    try {
+      DatabaseMetaData dbmd = _processConn.getMetaData();
+      for (String col : _columns) {
+        try (ResultSet rs = dbmd.getColumns(_database, _schema, _table, col)) {
+          rs.next();
+          if (isColumnTypeVector(rs.getString(6))) {
+            _vectorColumnsNameAndSize.put(col, rs.getInt(7));
+          }
+        }
+      }
+    } catch (SQLException e) {
+      logger.error(e.getMessage(), e);
+      abort(new Loader.ConnectionError(Utils.getCause(e)));
+    }
+  }
+
+  private boolean isColumnTypeVector(String col) {
+    if (col != null && col.equalsIgnoreCase("vector")) {
+      return true;
+    }
+    return false;
+  }
+
   @Override
   public void run() {
     try {
@@ -750,6 +786,10 @@ List<String> getColumns() {
     return this._columns;
   }
 
+  Map<String, Integer> getVectorColumns() {
+    return this._vectorColumnsNameAndSize;
+  }
+
   String getColumnsAsString() {
     // comma separate list of column names
     StringBuilder sb = new StringBuilder("\"");
@@ -904,4 +944,34 @@ public int getSubmittedRowCount() {
   void setTestMode(boolean mode) {
     this._testMode = mode;
   }
+
+  public String getStageColumnsAsString() {
+    // if there are no vector columns in the target table just select * is needed from the staging
+    // table.
+    if (_vectorColumnsNameAndSize.isEmpty()) {
+      return "*";
+    }
+
+    StringBuilder sb = new StringBuilder();
+    for (int i = 0; i < _columns.size(); i++) {
+      String colName = _columns.get(i);
+      if (_vectorColumnsNameAndSize.containsKey(colName)) {
+        sb.append(
+            colName
+                + "::VECTOR("
+                + _vectorType
+                + ", "
+                + _vectorColumnsNameAndSize.get(colName)
+                + ")");
+      } else {
+        sb.append("\"");
+        sb.append(colName);
+        sb.append("\"");
+      }
+      if (i != _columns.size() - 1) {
+        sb.append(", ");
+      }
+    }
+    return sb.toString();
+  }
 }

src/test/java/net/snowflake/client/loader/LoaderLatestIT.java

@@ -201,4 +201,97 @@ public void testKeyClusteringTable() throws Exception {
       }
     }
   }
+
+  @Test
+  private void testVectorColumnInTable() throws Exception {
+    String tableName = "VECTOR_TABLE";
+    try {
+      testConnection
+          .createStatement()
+          .execute(
+              String.format("CREATE OR REPLACE TABLE %s (vector_col VECTOR(FLOAT, 3))", tableName));
+
+      TestDataConfigBuilder tdcb = new TestDataConfigBuilder(testConnection, putConnection);
+      tdcb.setOperation(Operation.INSERT)
+          .setStartTransaction(true)
+          .setTruncateTable(true)
+          .setTableName(tableName)
+          .setColumns(Arrays.asList("vector_col"));
+      StreamLoader loader = tdcb.getStreamLoader();
+      TestDataConfigBuilder.ResultListener listener = tdcb.getListener();
+      loader.start();
+
+      loader.submitRow(new Object[] {"[12, 14.0, 100]"});
+      loader.setVectorColumnType("float");
+      loader.finish();
+      int submitted = listener.getSubmittedRowCount();
+      assertThat("submitted rows", submitted, equalTo(1));
+
+    } finally {
+      testConnection.createStatement().execute(String.format("DROP TABLE IF EXISTS %s", tableName));
+    }
+  }
+
+  @Test
+  private void testMultipleVectorColumnsInTable() throws Exception {
+    String tableName = "VECTOR_TABLE";
+    try {
+      testConnection
+          .createStatement()
+          .execute(
+              String.format(
+                  "CREATE OR REPLACE TABLE %s (vec1 VECTOR(FLOAT, 3), vec2 VECTOR(FLOAT, 3))",
+                  tableName));
+
+      TestDataConfigBuilder tdcb = new TestDataConfigBuilder(testConnection, putConnection);
+      tdcb.setOperation(Operation.INSERT)
+          .setStartTransaction(true)
+          .setTruncateTable(true)
+          .setTableName(tableName)
+          .setColumns(Arrays.asList("vector_col"));
+      StreamLoader loader = tdcb.getStreamLoader();
+      TestDataConfigBuilder.ResultListener listener = tdcb.getListener();
+      loader.start();
+
+      loader.submitRow(new Object[] {"[12, 14.0, 100]", "[12, 14.0, 100]"});
+      loader.finish();
+      int submitted = listener.getSubmittedRowCount();
+      assertThat("submitted rows", submitted, equalTo(1));
+
+    } finally {
+      testConnection.createStatement().execute(String.format("DROP TABLE IF EXISTS %s", tableName));
+    }
+  }
+
+  @Test
+  private void testMultipleTypesWithVectorColumnsInTable() throws Exception {
+    String tableName = "VECTOR_TABLE";
+    try {
+      testConnection
+          .createStatement()
+          .execute(
+              String.format(
+                  "CREATE OR REPLACE TABLE %s (vec1 VECTOR(FLOAT, 3), vec2 VECTOR(FLOAT, 3), ID int, colA varchar(255), colB date)",
+                  tableName));
+
+      TestDataConfigBuilder tdcb = new TestDataConfigBuilder(testConnection, putConnection);
+      tdcb.setOperation(Operation.INSERT)
+          .setStartTransaction(true)
+          .setTruncateTable(true)
+          .setTableName(tableName)
+          .setColumns(Arrays.asList("vector_col"));
+      StreamLoader loader = tdcb.getStreamLoader();
+      TestDataConfigBuilder.ResultListener listener = tdcb.getListener();
+      loader.start();
+
+      loader.setVectorColumnType("float");
+      loader.submitRow(new Object[] {"[12, 14.0, 100]", "[12, 14.0, 100]", 10, "abc", new Date()});
+      loader.finish();
+      int submitted = listener.getSubmittedRowCount();
+      assertThat("submitted rows", submitted, equalTo(1));
+
+    } finally {
+      testConnection.createStatement().execute(String.format("DROP TABLE IF EXISTS %s", tableName));
+    }
+  }
 }