use of org.apache.kafka.streams.StreamsBuilder in project apache-kafka-on-k8s by banzaicloud.
the class KTableKTableInnerJoinTest method testSendingOldValues.
@Test
public void testSendingOldValues() {
final StreamsBuilder builder = new StreamsBuilder();
final int[] expectedKeys = new int[] { 0, 1, 2, 3 };
final KTable<Integer, String> table1;
final KTable<Integer, String> table2;
final KTable<Integer, String> joined;
final MockProcessorSupplier<Integer, String> proc;
table1 = builder.table(topic1, consumed);
table2 = builder.table(topic2, consumed);
joined = table1.join(table2, MockValueJoiner.TOSTRING_JOINER);
proc = new MockProcessorSupplier<>();
builder.build().addProcessor("proc", proc, ((KTableImpl<?, ?, ?>) joined).name);
doTestSendingOldValues(builder, expectedKeys, table1, table2, proc, joined, true);
}
use of org.apache.kafka.streams.StreamsBuilder in project apache-kafka-on-k8s by banzaicloud.
the class KTableKTableLeftJoinTest method testNotSendingOldValue.
@Test
public void testNotSendingOldValue() {
final StreamsBuilder builder = new StreamsBuilder();
final int[] expectedKeys = new int[] { 0, 1, 2, 3 };
final KTable<Integer, String> table1;
final KTable<Integer, String> table2;
final KTable<Integer, String> joined;
final MockProcessorSupplier<Integer, String> proc;
table1 = builder.table(topic1, consumed);
table2 = builder.table(topic2, consumed);
joined = table1.leftJoin(table2, MockValueJoiner.TOSTRING_JOINER);
proc = new MockProcessorSupplier<>();
builder.build().addProcessor("proc", proc, ((KTableImpl<?, ?, ?>) joined).name);
driver.setUp(builder, stateDir);
driver.setTime(0L);
assertTrue(((KTableImpl<?, ?, ?>) table1).sendingOldValueEnabled());
assertFalse(((KTableImpl<?, ?, ?>) table2).sendingOldValueEnabled());
assertFalse(((KTableImpl<?, ?, ?>) joined).sendingOldValueEnabled());
for (int i = 0; i < 2; i++) {
driver.process(topic1, expectedKeys[i], "X" + expectedKeys[i]);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+null<-null)", "1:(X1+null<-null)");
for (int i = 0; i < 2; i++) {
driver.process(topic2, expectedKeys[i], "Y" + expectedKeys[i]);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+Y0<-null)", "1:(X1+Y1<-null)");
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "X" + expectedKey);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+Y0<-null)", "1:(X1+Y1<-null)", "2:(X2+null<-null)", "3:(X3+null<-null)");
// push all items to the other stream. this should produce four items.
for (int expectedKey : expectedKeys) {
driver.process(topic2, expectedKey, "YY" + expectedKey);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+YY0<-null)", "1:(X1+YY1<-null)", "2:(X2+YY2<-null)", "3:(X3+YY3<-null)");
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "X" + expectedKey);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+YY0<-null)", "1:(X1+YY1<-null)", "2:(X2+YY2<-null)", "3:(X3+YY3<-null)");
for (int i = 0; i < 2; i++) {
driver.process(topic2, expectedKeys[i], null);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+null<-null)", "1:(X1+null<-null)");
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "XX" + expectedKey);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(XX0+null<-null)", "1:(XX1+null<-null)", "2:(XX2+YY2<-null)", "3:(XX3+YY3<-null)");
}
use of org.apache.kafka.streams.StreamsBuilder in project apache-kafka-on-k8s by banzaicloud.
the class KTableKTableLeftJoinTest method testJoin.
@Test
public void testJoin() {
final StreamsBuilder builder = new StreamsBuilder();
final int[] expectedKeys = new int[] { 0, 1, 2, 3 };
KTable<Integer, String> table1 = builder.table(topic1, consumed);
KTable<Integer, String> table2 = builder.table(topic2, consumed);
KTable<Integer, String> joined = table1.leftJoin(table2, MockValueJoiner.TOSTRING_JOINER);
MockProcessorSupplier<Integer, String> processor;
processor = new MockProcessorSupplier<>();
joined.toStream().process(processor);
Collection<Set<String>> copartitionGroups = StreamsBuilderTest.getCopartitionedGroups(builder);
assertEquals(1, copartitionGroups.size());
assertEquals(new HashSet<>(Arrays.asList(topic1, topic2)), copartitionGroups.iterator().next());
KTableValueGetterSupplier<Integer, String> getterSupplier = ((KTableImpl<Integer, String, String>) joined).valueGetterSupplier();
driver.setUp(builder, stateDir);
driver.setTime(0L);
KTableValueGetter<Integer, String> getter = getterSupplier.get();
getter.init(driver.context());
for (int i = 0; i < 2; i++) {
driver.process(topic1, expectedKeys[i], "X" + expectedKeys[i]);
}
// pass tuple with null key, it will be discarded in join process
driver.process(topic1, null, "SomeVal");
driver.flushState();
processor.checkAndClearProcessResult("0:X0+null", "1:X1+null");
checkJoinedValues(getter, kv(0, "X0+null"), kv(1, "X1+null"), kv(2, null), kv(3, null));
for (int i = 0; i < 2; i++) {
driver.process(topic2, expectedKeys[i], "Y" + expectedKeys[i]);
}
// pass tuple with null key, it will be discarded in join process
driver.process(topic2, null, "AnotherVal");
driver.flushState();
processor.checkAndClearProcessResult("0:X0+Y0", "1:X1+Y1");
checkJoinedValues(getter, kv(0, "X0+Y0"), kv(1, "X1+Y1"), kv(2, null), kv(3, null));
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "X" + expectedKey);
}
driver.flushState();
processor.checkAndClearProcessResult("0:X0+Y0", "1:X1+Y1", "2:X2+null", "3:X3+null");
checkJoinedValues(getter, kv(0, "X0+Y0"), kv(1, "X1+Y1"), kv(2, "X2+null"), kv(3, "X3+null"));
// push all items to the other stream. this should produce four items.
for (int expectedKey : expectedKeys) {
driver.process(topic2, expectedKey, "YY" + expectedKey);
}
driver.flushState();
processor.checkAndClearProcessResult("0:X0+YY0", "1:X1+YY1", "2:X2+YY2", "3:X3+YY3");
checkJoinedValues(getter, kv(0, "X0+YY0"), kv(1, "X1+YY1"), kv(2, "X2+YY2"), kv(3, "X3+YY3"));
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "X" + expectedKey);
}
driver.flushState();
processor.checkAndClearProcessResult("0:X0+YY0", "1:X1+YY1", "2:X2+YY2", "3:X3+YY3");
checkJoinedValues(getter, kv(0, "X0+YY0"), kv(1, "X1+YY1"), kv(2, "X2+YY2"), kv(3, "X3+YY3"));
for (int i = 0; i < 2; i++) {
driver.process(topic2, expectedKeys[i], null);
}
driver.flushState();
processor.checkAndClearProcessResult("0:X0+null", "1:X1+null");
checkJoinedValues(getter, kv(0, "X0+null"), kv(1, "X1+null"), kv(2, "X2+YY2"), kv(3, "X3+YY3"));
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "XX" + expectedKey);
}
driver.flushState();
processor.checkAndClearProcessResult("0:XX0+null", "1:XX1+null", "2:XX2+YY2", "3:XX3+YY3");
checkJoinedValues(getter, kv(0, "XX0+null"), kv(1, "XX1+null"), kv(2, "XX2+YY2"), kv(3, "XX3+YY3"));
}
use of org.apache.kafka.streams.StreamsBuilder in project apache-kafka-on-k8s by banzaicloud.
the class KTableKTableOuterJoinTest method testSendingOldValue.
@Test
public void testSendingOldValue() {
final StreamsBuilder builder = new StreamsBuilder();
final int[] expectedKeys = new int[] { 0, 1, 2, 3 };
KTable<Integer, String> table1;
KTable<Integer, String> table2;
KTable<Integer, String> joined;
MockProcessorSupplier<Integer, String> proc;
table1 = builder.table(topic1, consumed);
table2 = builder.table(topic2, consumed);
joined = table1.outerJoin(table2, MockValueJoiner.TOSTRING_JOINER);
((KTableImpl<?, ?, ?>) joined).enableSendingOldValues();
proc = new MockProcessorSupplier<>();
builder.build().addProcessor("proc", proc, ((KTableImpl<?, ?, ?>) joined).name);
driver.setUp(builder, stateDir);
assertTrue(((KTableImpl<?, ?, ?>) table1).sendingOldValueEnabled());
assertTrue(((KTableImpl<?, ?, ?>) table2).sendingOldValueEnabled());
assertTrue(((KTableImpl<?, ?, ?>) joined).sendingOldValueEnabled());
for (int i = 0; i < 2; i++) {
driver.process(topic1, expectedKeys[i], "X" + expectedKeys[i]);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+null<-null)", "1:(X1+null<-null)");
for (int i = 0; i < 2; i++) {
driver.process(topic2, expectedKeys[i], "Y" + expectedKeys[i]);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+Y0<-X0+null)", "1:(X1+Y1<-X1+null)");
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "X" + expectedKey);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+Y0<-X0+Y0)", "1:(X1+Y1<-X1+Y1)", "2:(X2+null<-null)", "3:(X3+null<-null)");
// push all items to the other stream. this should produce four items.
for (int expectedKey : expectedKeys) {
driver.process(topic2, expectedKey, "YY" + expectedKey);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+YY0<-X0+Y0)", "1:(X1+YY1<-X1+Y1)", "2:(X2+YY2<-X2+null)", "3:(X3+YY3<-X3+null)");
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "X" + expectedKey);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+YY0<-X0+YY0)", "1:(X1+YY1<-X1+YY1)", "2:(X2+YY2<-X2+YY2)", "3:(X3+YY3<-X3+YY3)");
for (int i = 0; i < 2; i++) {
driver.process(topic2, expectedKeys[i], null);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(X0+null<-X0+YY0)", "1:(X1+null<-X1+YY1)");
for (int expectedKey : expectedKeys) {
driver.process(topic1, expectedKey, "XX" + expectedKey);
}
driver.flushState();
proc.checkAndClearProcessResult("0:(XX0+null<-X0+null)", "1:(XX1+null<-X1+null)", "2:(XX2+YY2<-X2+YY2)", "3:(XX3+YY3<-X3+YY3)");
for (int i = 1; i < 3; i++) {
driver.process(topic1, expectedKeys[i], null);
}
driver.flushState();
proc.checkAndClearProcessResult("1:(null<-XX1+null)", "2:(null+YY2<-XX2+YY2)");
}
use of org.apache.kafka.streams.StreamsBuilder in project apache-kafka-on-k8s by banzaicloud.
the class KTableMapValuesTest method testQueryableValueGetter.
@Test
public void testQueryableValueGetter() {
StreamsBuilder builder = new StreamsBuilder();
String topic1 = "topic1";
String topic2 = "topic2";
String storeName2 = "storeName2";
KTableImpl<String, String, String> table1 = (KTableImpl<String, String, String>) builder.table(topic1, consumed);
KTableImpl<String, String, Integer> table2 = (KTableImpl<String, String, Integer>) table1.mapValues(new ValueMapper<String, Integer>() {
@Override
public Integer apply(String value) {
return new Integer(value);
}
}, Materialized.<String, Integer, KeyValueStore<Bytes, byte[]>>as("anyMapName").withValueSerde(Serdes.Integer()));
KTableImpl<String, Integer, Integer> table3 = (KTableImpl<String, Integer, Integer>) table2.filter(new Predicate<String, Integer>() {
@Override
public boolean test(String key, Integer value) {
return (value % 2) == 0;
}
}, Materialized.<String, Integer, KeyValueStore<Bytes, byte[]>>as("anyFilterName").withValueSerde(Serdes.Integer()));
KTableImpl<String, String, String> table4 = (KTableImpl<String, String, String>) table1.through(stringSerde, stringSerde, topic2, storeName2);
doTestValueGetter(builder, topic1, table1, table2, table3, table4);
}
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