echauchot commented on code in PR #3:
URL: 
https://github.com/apache/flink-connector-cassandra/pull/3#discussion_r1100252874


##########
flink-connector-cassandra/src/main/java/org/apache/flink/connector/cassandra/source/reader/CassandraSplitReader.java:
##########
@@ -0,0 +1,309 @@
+/*
+ * 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.flink.connector.cassandra.source.reader;
+
+import org.apache.flink.annotation.VisibleForTesting;
+import org.apache.flink.connector.base.source.reader.RecordsBySplits;
+import org.apache.flink.connector.base.source.reader.RecordsWithSplitIds;
+import org.apache.flink.connector.base.source.reader.splitreader.SplitReader;
+import org.apache.flink.connector.base.source.reader.splitreader.SplitsChange;
+import org.apache.flink.connector.cassandra.source.split.CassandraSplit;
+import org.apache.flink.connector.cassandra.source.split.CassandraSplitState;
+import org.apache.flink.connector.cassandra.source.split.RingRange;
+import org.apache.flink.streaming.connectors.cassandra.ClusterBuilder;
+
+import com.datastax.driver.core.Cluster;
+import com.datastax.driver.core.ColumnMetadata;
+import com.datastax.driver.core.Metadata;
+import com.datastax.driver.core.PreparedStatement;
+import com.datastax.driver.core.ResultSet;
+import com.datastax.driver.core.Session;
+import com.datastax.driver.core.Token;
+import org.slf4j.Logger;
+import org.slf4j.LoggerFactory;
+
+import javax.annotation.Nullable;
+
+import java.math.BigInteger;
+import java.util.ArrayList;
+import java.util.Collection;
+import java.util.HashMap;
+import java.util.HashSet;
+import java.util.Map;
+import java.util.Set;
+import java.util.concurrent.atomic.AtomicBoolean;
+import java.util.regex.Matcher;
+import java.util.regex.Pattern;
+import java.util.stream.Collectors;
+
+/**
+ * {@link SplitReader} for Cassandra source. This class is responsible for 
fetching the records as
+ * {@link CassandraRow}. For that, it executes a range query (query that 
outputs records belonging
+ * to a {@link RingRange}) based on the user specified query. This class 
manages the Cassandra
+ * cluster and session.
+ */
+public class CassandraSplitReader implements SplitReader<CassandraRow, 
CassandraSplit> {
+
+    private static final Logger LOG = 
LoggerFactory.getLogger(CassandraSplitReader.class);
+    public static final String SELECT_REGEXP = "(?i)select .+ from 
(\\w+)\\.(\\w+).*;$";
+
+    private final Cluster cluster;
+    private final Session session;
+    private final Set<CassandraSplitState> unprocessedSplits;
+    private final AtomicBoolean wakeup = new AtomicBoolean(false);
+    private final String query;
+
+    public CassandraSplitReader(ClusterBuilder clusterBuilder, String query) {
+        this.unprocessedSplits = new HashSet<>();
+        this.query = query;
+        cluster = clusterBuilder.getCluster();
+        session = cluster.connect();

Review Comment:
   Yes I thought about that but the problem I had was when to close the 
session/cluster. I you prefer this solution, I can override 
`SourceReaderBase#close()` and close them there + create a factory to 
initialize cluster, session and mapper at the creation of SourceReader before 
the super(...) calll. Also, I find elegant the design of passing a map function 
to the emitter from the source reader. I'll do so



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