ajantha-bhat commented on code in PR #10288:
URL: https://github.com/apache/iceberg/pull/10288#discussion_r1593501067


##########
spark/v3.5/spark/src/main/java/org/apache/iceberg/spark/actions/AnalyzeTableSparkAction.java:
##########
@@ -0,0 +1,150 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.iceberg.spark.actions;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Set;
+import java.util.stream.Collectors;
+import org.apache.iceberg.StatisticsFile;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.actions.AnalyzeTable;
+import org.apache.iceberg.actions.ImmutableAnalyzeTable;
+import org.apache.iceberg.exceptions.ValidationException;
+import org.apache.iceberg.puffin.StandardBlobTypes;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.iceberg.relocated.com.google.common.collect.Sets;
+import org.apache.iceberg.spark.JobGroupInfo;
+import org.apache.iceberg.types.Type;
+import org.apache.iceberg.types.Types;
+import org.apache.spark.sql.SparkSession;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+/** Computes the statistic of the given columns and stores it as Puffin files. 
*/
+public class AnalyzeTableSparkAction extends 
BaseSparkAction<AnalyzeTableSparkAction>
+    implements AnalyzeTable {
+
+  private static final Logger LOG = 
LoggerFactory.getLogger(AnalyzeTableSparkAction.class);
+  private final Table table;
+  private Set<String> columnsToBeAnalyzed;
+  private Set<String> statsToBecollected =
+      Sets.newHashSet(StandardBlobTypes.APACHE_DATASKETCHES_THETA_V1);
+
+  AnalyzeTableSparkAction(SparkSession spark, Table table) {
+    super(spark);
+    this.table = table;
+  }
+
+  @Override
+  protected AnalyzeTableSparkAction self() {
+    return this;
+  }
+
+  @Override
+  public Result execute() {
+    String desc = String.format("Analyzing table %s", table.name());
+    JobGroupInfo info = newJobGroupInfo("ANALYZE-TABLE", desc);
+    return withJobGroupInfo(info, this::doExecute);
+  }
+
+  private Result doExecute() {
+    LOG.info("Starting the analysis of {}", table.name());
+    validateColumns();
+    List<AnalysisResult> analysisResults =
+        statsToBecollected.stream()
+            .map(
+                statsName -> {
+                  switch (statsName) {
+                    case StandardBlobTypes.APACHE_DATASKETCHES_THETA_V1:
+                      return generateNDVAndCommit();
+                    default:
+                      return ImmutableAnalyzeTable.AnalysisResult.builder()
+                          .statsName(statsName)
+                          .statsCollected(false)
+                          .addAllErrors(Lists.newArrayList("Stats type not 
supported"))
+                          .build();
+                  }
+                })
+            .collect(Collectors.toList());
+    return 
ImmutableAnalyzeTable.Result.builder().analysisResults(analysisResults).build();
+  }
+
+  private void validateColumns() {
+    validateEmptyColumns();
+    validateTypes();
+  }
+
+  private void validateEmptyColumns() {
+    if (columnsToBeAnalyzed == null || columnsToBeAnalyzed.isEmpty()) {
+      throw new ValidationException("No columns to analyze for the table", 
table.name());
+    }
+  }
+
+  private void validateTypes() {
+    columnsToBeAnalyzed.forEach(
+        columnName -> {
+          Types.NestedField field = table.schema().findField(columnName);
+          if (field == null) {
+            throw new ValidationException("No column with %s name in the 
table", columnName);
+          }
+          Type type = field.type();
+          if (type.isListType() || type.isMapType() || type.isNestedType() || 
type.isStructType()) {
+            throw new ValidationException(
+                "Analysis not supported on column %s of type %s", columnName, 
type.typeId());
+          }
+        });
+  }
+
+  private AnalysisResult generateNDVAndCommit() {
+    try {
+      StatisticsFile statisticsFile =
+          NDVSketchGenerator.generateNDV(
+              spark(), table, columnsToBeAnalyzed.toArray(new String[0]));
+      table
+          .updateStatistics()
+          .setStatistics(table.currentSnapshot().snapshotId(), statisticsFile)

Review Comment:
   what if table's current snapshot has modified concurrently by another client 
between like 117 to line 120? 



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