[GitHub] [inlong] gong commented on a diff in pull request #7253: [INLONG-7249][Sort] JDBC accurate dirty data archive and metric calculation

[GitBox <gi...@apache.org>]

gong commented on code in PR #7253:
URL: https://github.com/apache/inlong/pull/7253#discussion_r1071781406


##########
inlong-sort/sort-connectors/jdbc/src/main/java/org/apache/inlong/sort/jdbc/internal/TableMetricStatementExecutor.java:
##########
@@ -0,0 +1,172 @@
+/*
+ * 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.inlong.sort.jdbc.internal;
+
+import org.apache.flink.connector.jdbc.internal.converter.JdbcRowConverter;
+import org.apache.flink.connector.jdbc.internal.executor.JdbcBatchStatementExecutor;
+import org.apache.flink.connector.jdbc.statement.FieldNamedPreparedStatement;
+import org.apache.flink.connector.jdbc.statement.StatementFactory;
+import org.apache.flink.table.data.RowData;
+import org.apache.inlong.sort.base.dirty.DirtySinkHelper;
+import org.apache.inlong.sort.base.dirty.DirtyType;
+import org.apache.inlong.sort.base.metric.SinkMetricData;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import java.nio.charset.StandardCharsets;
+import java.sql.Connection;
+import java.sql.SQLException;
+import java.util.ArrayList;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicInteger;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+
+import static org.apache.flink.util.Preconditions.checkNotNull;
+
+/**
+ * A {@link JdbcBatchStatementExecutor} that simply adds the records into batches of {@link
+ * java.sql.PreparedStatement} and doesn't buffer records in memory. Only used in Table/SQL API.
+ */
+public final class TableMetricStatementExecutor implements JdbcBatchStatementExecutor<RowData> {
+
+    private static final Logger LOG = LoggerFactory.getLogger(TableMetricStatementExecutor.class);
+    private final StatementFactory stmtFactory;
+    private final JdbcRowConverter converter;
+    private final List<RowData> batch;
+    private final DirtySinkHelper<Object> dirtySinkHelper;
+    private final SinkMetricData sinkMetricData;
+    private final AtomicInteger counter = new AtomicInteger();
+    private transient FieldNamedPreparedStatement st;
+
+    /**
+     * Keep in mind object reuse: if it's on then key extractor may be required to return new
+     * object.
+     */
+    public TableMetricStatementExecutor(StatementFactory stmtFactory, JdbcRowConverter converter,
+            DirtySinkHelper<Object> dirtySinkHelper, SinkMetricData sinkMetricData) {
+        this.stmtFactory = checkNotNull(stmtFactory);
+        this.converter = checkNotNull(converter);
+        this.batch = new ArrayList<>();
+        this.dirtySinkHelper = dirtySinkHelper;
+        this.sinkMetricData = sinkMetricData;
+    }
+
+    /**
+     * parses an SQL exception message, and returns dirty records
+     *
+     * @param e the exception
+     * @return a string that can be compared with the return value of other parseRecord calls
+     */
+    public static void parseRecord(Exception e, List<Integer> answer) {
+        final Pattern pattern = Pattern.compile("Batch entry (\\d+) ");
+        Matcher matcher = pattern.matcher(e.getMessage());
+        if (matcher.find()) {
+            answer.add(Integer.parseInt(matcher.group(1)));
+        }
+        // if e is sql exciption, identify all dirty data, else identify only one dirty data.
+        if (e instanceof SQLException) {
+            SQLException next = ((SQLException) e).getNextException();
+            if (next != null) {
+                parseRecord(next, answer);
+            }
+        }
+    }
+
+    @Override
+    public void prepareStatements(Connection connection) throws SQLException {
+        st = stmtFactory.createStatement(connection);
+    }
+
+    @Override
+    public void addToBatch(RowData record) throws SQLException {
+        batch.add(record);
+        converter.toExternal(record, st);
+        st.addBatch();
+    }
+
+    @Override
+    public void executeBatch() throws SQLException {
+        try {
+            st.executeBatch();
+            addMetrics();
+        } catch (SQLException e) {
+            if (counter.incrementAndGet() == 3) {
+                // parse record from error and handle
+                List<Integer> dirtyRecords = new ArrayList<>();
+                parseRecord(e, dirtyRecords);
+                handleDirty(dirtyRecords);
+                counter.set(0);
+            } else {
+                throw new SQLException(e);
+            }
+        }
+    }
+
+    private void addMetrics() {
+        Set<RowData> set = new HashSet<>();
+        int rowCount = 0;
+        long rowSize = 0;
+        for (RowData record : batch) {
+            if (!set.contains(record)) {
+                set.add(record);
+                rowCount++;
+                rowSize += record.toString().getBytes(StandardCharsets.UTF_8).length;
+            }
+        }
+        sinkMetricData.invoke(rowCount, rowSize * 8);

Review Comment:
   `*8` why?



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