Hello, Using Flink version 1.15.0, I recieve these warnings when trying a small example (code below): WARNING: An illegal reflective access operation has occurred WARNING: Illegal reflective access by org.apache.flink.api.java.ClosureCleaner (file:/Users/cjensen/data/tools/apache-maven-3.3.9/m2/org/apache/flink/flink-core/1.15.0/flink-core-1.15.0.jar) to field java.lang.String.value WARNING: Please consider reporting this to the maintainers of org.apache.flink.api.java.ClosureCleaner WARNING: Use --illegal-access=warn to enable warnings of further illegal reflective access operations WARNING: All illegal access operations will be denied in a future release
I am undoubtedly doing something incorrectly, but felt that it may be useful to take the advice "Please consider reporting this to the maintainers of org.apache.flink.api.java.ClosureCleaner". Also, any corrections to my example would be appreciated. Thanks, Curtis AvgAmount.java import org.apache.flink.api.common.RuntimeExecutionMode; import org.apache.flink.api.common.state.ValueState; import org.apache.flink.api.common.state.ValueStateDescriptor; import org.apache.flink.configuration.Configuration; import org.apache.flink.streaming.api.datastream.DataStream; import org.apache.flink.streaming.api.datastream.KeyedStream; import org.apache.flink.streaming.api.environment.StreamExecutionEnvironment; import org.apache.flink.streaming.api.functions.KeyedProcessFunction; import org.apache.flink.util.Collector; public class AvgAmount { public static void main(String[] args) { StreamExecutionEnvironment env = StreamExecutionEnvironment.getExecutionEnvironment(); env.setRuntimeMode(RuntimeExecutionMode.BATCH); DataStream<ExampleData.PurchaseEvent> purchaseStream = env.fromElements(ExampleData.PURCHASE_EVENTS); KeyedStream keyedPurchaseStream = purchaseStream.keyBy(event -> event.account_id); keyedPurchaseStream.process(new PurchaseEventProcessor()) .map(stats -> stats.toString()) .print(); } public static class PurchaseStats { public String accountId; public long amountSum; public long amountCount; public PurchaseStats(String accountId) { this.accountId = accountId; } public void addAmount(long amount) { amountSum += amount; amountCount += 1; } @Override public String toString() { return String.format("{\"account_id\":\"%s\",\"avg_amount\":%f}", accountId, (double)amountSum/(double)amountCount); } } public static class PurchaseEventProcessor extends KeyedProcessFunction<String, ExampleData.PurchaseEvent, PurchaseStats> { ValueState<PurchaseStats> seen; @Override public void open(Configuration parameters) { seen = getRuntimeContext().getState(new ValueStateDescriptor<>("seen", PurchaseStats.class)); } @Override public void processElement(ExampleData.PurchaseEvent purchaseEvent, KeyedProcessFunction<String, ExampleData.PurchaseEvent, PurchaseStats>.Context context, Collector<PurchaseStats> out) throws Exception { PurchaseStats currentStats = seen.value(); if (currentStats == null) { currentStats = new PurchaseStats(purchaseEvent.account_id); } currentStats.addAmount(purchaseEvent.amount); seen.update(currentStats); out.collect(currentStats); } } } ExampleData.java import org.apache.flink.types.Row; import org.apache.flink.types.RowKind; import java.time.Instant; public class ExampleData { public static final PurchaseEvent[] PURCHASE_EVENTS = new PurchaseEvent[] { new PurchaseEvent("1337Gamer", "192.168.0.1", 1000), new PurchaseEvent("1337", "127.0.0.1", 1000), new PurchaseEvent("1337", "127.0.0.2", 100), new PurchaseEvent("1337", "127.0.0.1", 9900) }; public static class PurchaseEvent { public long timestamp; public String account_id; public String ip; public long amount; public PurchaseEvent() { } public PurchaseEvent(String accountId, String ip, long amount) { this(Instant.now().getEpochSecond(), accountId, ip, amount); } public PurchaseEvent(long timestamp, String accountId, String ip, long amount) { this.timestamp = timestamp; this.account_id = accountId; this.ip = ip; this.amount = amount; } } }