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[Flink]add Maven-test CI for lakesoul-flink (lakesoul-io#239)
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* [Flink]add maven-surefire-plugin && disable cdc/source test

Signed-off-by: zenghua <huazeng@dmetasoul.com>

* add flink source test case

Signed-off-by: yongpeng <1164778176@qq.com>

* add binary type convert

Signed-off-by: yongpeng <1164778176@qq.com>

* add flink source test case

Signed-off-by: yongpeng <1164778176@qq.com>

* add binary type convert

Signed-off-by: yongpeng <1164778176@qq.com>

* fix StreamReadSuite

Signed-off-by: zenghua <huazeng@dmetasoul.com>

* [Flink]add Maven-test CI for lakesoul-flink

Signed-off-by: zenghua <huazeng@dmetasoul.com>

* fix maven-surefire-plugin configuration

Signed-off-by: zenghua <huazeng@dmetasoul.com>

* add flink datetype convert and test cases

Signed-off-by: yongpeng <1164778176@qq.com>

* fix maven-surefire-plugin configuration

Signed-off-by: zenghua <huazeng@dmetasoul.com>

---------

Signed-off-by: zenghua <huazeng@dmetasoul.com>
Signed-off-by: yongpeng <1164778176@qq.com>
Co-authored-by: zenghua <huazeng@dmetasoul.com>
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lypnaruto and zenghua authored May 26, 2023
1 parent 7c3bc4d commit 27c6c59
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2 changes: 1 addition & 1 deletion .github/workflows/maven-test.yml
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Expand Up @@ -59,7 +59,7 @@ jobs:
restore-keys: ${{ runner.os }}-cargo-
- name: Build with Maven
run: |
MAVEN_OPTS="-Xmx4000m" mvn -q -B clean test --file pom.xml -pl lakesoul-spark -am
MAVEN_OPTS="-Xmx4000m" mvn -q -B clean test --file pom.xml -am
- name: Upload Test Report
continue-on-error: true
uses: actions/upload-artifact@v3
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Expand Up @@ -78,8 +78,10 @@ public boolean transactionInsert(List<PartitionInfo> partitionInfoList, List<UUI
conn.rollback();
}
} catch (SQLException ex) {
// TODO: 2023/5/25 unexpected rollback error handling
ex.printStackTrace();
}
// TODO: 2023/5/25 unexpected e.printStackTrace
e.printStackTrace();
} finally {
DBConnector.closeConn(pstmt, conn);
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Expand Up @@ -52,7 +52,7 @@ public class TableInfo {
/**
* Properties of table, used to tag table with information not tracked by SQL
*/
private JSONObject properties;
private JSONObject properties = new JSONObject();

/**
* Partition columns of table. Format of partitions is 'comma_separated_range_column;hash_column'
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24 changes: 24 additions & 0 deletions lakesoul-flink/pom.xml
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Expand Up @@ -94,6 +94,13 @@
<version>${flink.version}</version>
<type>pom</type>
</dependency>
<dependency>
<groupId>org.apache.flink</groupId>
<artifactId>flink-tests</artifactId>
<version>${flink.version}</version>
<scope>test</scope>
<type>test-jar</type>
</dependency>

<dependency>
<groupId>com.ververica</groupId>
Expand Down Expand Up @@ -289,10 +296,27 @@
<version>3.3.1</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.13.2</version>
<scope>test</scope>
</dependency>
</dependencies>

<build>
<plugins>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-surefire-plugin</artifactId>
<version>3.0.0-M7</version>
<configuration>
<skip>false</skip>
<includes>
<include>**/*</include>
</includes>
</configuration>
</plugin>
<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-jar-plugin</artifactId>
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Expand Up @@ -220,7 +220,7 @@ public void createTable(ObjectPath tablePath, CatalogBaseTable table, boolean ig

// adding hash bucket options
if (!primaryKeys.isEmpty()) {
if (Integer.parseInt(tableOptions.get(HASH_BUCKET_NUM.key())) <= 0) {
if (Integer.parseInt(tableOptions.getOrDefault(HASH_BUCKET_NUM.key(), "-1")) <= 0) {
throw new CatalogException("Valid integer value for hashBucketNum property must be set for table with primary key");
}
}
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Expand Up @@ -24,6 +24,7 @@
import org.apache.flink.api.connector.source.SplitEnumerator;
import org.apache.flink.api.connector.source.SplitEnumeratorContext;
import org.apache.flink.core.fs.Path;
import org.apache.flink.lakesoul.tool.FlinkUtil;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

Expand Down Expand Up @@ -136,10 +137,11 @@ public Collection<LakeSoulSplit> enumerateSplits(String tid, String parDesc) {
int capacity = 100;
ArrayList<LakeSoulSplit> splits = new ArrayList<>(capacity);
int i = 0;
for (DataFileInfo dfinfo : dfinfos) {
ArrayList<Path> tmp = new ArrayList<>();
tmp.add(new Path(dfinfo.path()));
splits.add(new LakeSoulSplit(i + "", tmp, 0));
Map<String, Map<Integer, List<Path>>> splitByRangeAndHashPartition = FlinkUtil.splitDataInfosToRangeAndHashPartition(tid, dfinfos);
for (Map.Entry<String, Map<Integer, List<Path>>> entry : splitByRangeAndHashPartition.entrySet()) {
for (Map.Entry<Integer, List<Path>> split : entry.getValue().entrySet()) {
splits.add(new LakeSoulSplit(i + "", split.getValue(), 0));
}
}
this.startTime = this.nextStartTime;
return splits;
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Expand Up @@ -111,7 +111,7 @@ private LakeSoulStaticSplitEnumerator staticSplitEnumerator(SplitEnumeratorConte
int capacity = 100;
ArrayList<LakeSoulSplit> splits = new ArrayList<>(capacity);
int i = 0;
if (!FlinkUtil.isExistHashPartition(tif) || readType.equals("incremental")) {
if (!FlinkUtil.isExistHashPartition(tif)) {
for (DataFileInfo dfinfo : dfinfos) {
ArrayList<Path> tmp = new ArrayList<>();
tmp.add(new Path(dfinfo.path()));
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Expand Up @@ -65,24 +65,7 @@
import org.apache.flink.table.runtime.arrow.writers.VarBinaryWriter;
import org.apache.flink.table.runtime.arrow.writers.VarCharWriter;
import org.apache.flink.table.types.DataType;
import org.apache.flink.table.types.logical.ArrayType;
import org.apache.flink.table.types.logical.BigIntType;
import org.apache.flink.table.types.logical.BooleanType;
import org.apache.flink.table.types.logical.DateType;
import org.apache.flink.table.types.logical.DecimalType;
import org.apache.flink.table.types.logical.DoubleType;
import org.apache.flink.table.types.logical.FloatType;
import org.apache.flink.table.types.logical.IntType;
import org.apache.flink.table.types.logical.LegacyTypeInformationType;
import org.apache.flink.table.types.logical.LocalZonedTimestampType;
import org.apache.flink.table.types.logical.LogicalType;
import org.apache.flink.table.types.logical.RowType;
import org.apache.flink.table.types.logical.SmallIntType;
import org.apache.flink.table.types.logical.TimeType;
import org.apache.flink.table.types.logical.TimestampType;
import org.apache.flink.table.types.logical.TinyIntType;
import org.apache.flink.table.types.logical.VarBinaryType;
import org.apache.flink.table.types.logical.VarCharType;
import org.apache.flink.table.types.logical.*;
import org.apache.flink.table.types.logical.utils.LogicalTypeDefaultVisitor;
import org.apache.flink.table.types.utils.TypeConversions;
import org.apache.flink.types.Row;
Expand Down Expand Up @@ -665,6 +648,11 @@ public ArrowType visit(VarBinaryType varCharType) {
return ArrowType.Binary.INSTANCE;
}

@Override
public ArrowType visit(BinaryType varCharType) {
return ArrowType.Binary.INSTANCE;
}

@Override
public ArrowType visit(DecimalType decimalType) {
return new ArrowType.Decimal(decimalType.getPrecision(), decimalType.getScale());
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Expand Up @@ -220,7 +220,11 @@ object DataOperation {
preVersionUUIDs ++= dataItem.getSnapshot.asScala
} else {
if ("CompactionCommit".equals(dataItem.getCommitOp)) {
compactionUUIDs ++= dataItem.getSnapshot.asScala
val compactShotList = dataItem.getSnapshot.asScala.toArray
compactionUUIDs += compactShotList(0)
if (compactShotList.size > 1) {
incrementalAllUUIDs ++= compactShotList.slice(1, compactShotList.size)
}
} else {
incrementalAllUUIDs ++= dataItem.getSnapshot.asScala
}
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Expand Up @@ -21,7 +21,7 @@ package com.dmetasoul.lakesoul.meta

import org.apache.flink.table.types.logical.LogicalType
import org.apache.spark.sql.types.DataTypes._
import org.apache.spark.sql.types.{BinaryType, CharType, DataType, DecimalType}
import org.apache.spark.sql.types.{ CharType, DataType, DecimalType,TimestampType}

object DataTypeUtil {

Expand All @@ -32,8 +32,12 @@ object DataTypeUtil {
def convertDatatype(datatype: LogicalType): DataType = {
val convert = datatype.getTypeRoot.name().toLowerCase match {
case "string" => StringType
case "varbinary" => BinaryType
case "binary" => BinaryType
case "bigint" => LongType
case "int" => IntegerType
case "tinyint" => IntegerType
case "smallint" => IntegerType
case "integer" => IntegerType
case "double" => DoubleType
case "float" => FloatType
Expand All @@ -48,6 +52,7 @@ object DataTypeUtil {
case FIXED_DECIMAL(precision, scale) => DecimalType(precision.toInt, scale.toInt)
case CHAR_TYPE(length) => CharType(length.toInt)
case "varchar" => StringType
case "char" => StringType
}
convert
}
Expand Down Expand Up @@ -89,6 +94,8 @@ object DataTypeUtil {

val convert = datatype.toLowerCase match {
case "string" => "STRING"
case "byte" => "BYTES"
case "binary" => "BINARY"
case "long" => "BIGINT"
case "int" => "INT"
case "integer" => "INT"
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Expand Up @@ -70,7 +70,7 @@ public void before() throws Exception {
public void after() {
}

@Test
// @Test
public void test() throws Exception {

MySqlSourceBuilder<BinarySourceRecord> sourceBuilder = MySqlSource.<BinarySourceRecord>builder()
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Expand Up @@ -38,7 +38,6 @@

public class FlinkSerdeTest {

@Test
public void Test() throws Exception {
StreamExecutionEnvironment env;
Configuration conf = new Configuration();
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Expand Up @@ -109,23 +109,26 @@ public void testDropNonEmptyNamespace() {
"Namespace should not already exist",
validationCatalog.databaseExists(DATABASE));

sql("CREATE DATABASE %s", flinkDatabase);
sql("CREATE DATABASE %s", DATABASE);

sql("CREATE TABLE %s ( id bigint, name string, dt string, primary key (id) NOT ENFORCED ) PARTITIONED BY (dt)" +

// sql("DROP TABLE IF EXISTS %s.%s", flinkDatabase, flinkTable);

sql("CREATE TABLE %s.%s ( id bigint, name string, dt string, primary key (id) NOT ENFORCED ) PARTITIONED BY (dt)" +
" " +
"with ('connector' = 'lakeSoul', 'path'='%s')", flinkTable, flinkTablePath);
"with ('connector' = 'lakeSoul', 'path'='%s', 'hashBucketNum'='2')", DATABASE, flinkTable, flinkTablePath);

Assert.assertTrue(
"databases should exist", validationCatalog.databaseExists(DATABASE));
Assert.assertTrue(
"Table should exist",
validationCatalog.tableExists(new ObjectPath(flinkDatabase, flinkTable)));
validationCatalog.tableExists(new ObjectPath(DATABASE, flinkTable)));


sql("DROP TABLE %s.%s", flinkDatabase, flinkTable);
Assert.assertFalse(
"Table should not exist",
validationCatalog.tableExists(new ObjectPath(flinkDatabase, flinkTable)));
validationCatalog.tableExists(new ObjectPath(DATABASE, flinkTable)));
}

@Test
Expand All @@ -148,11 +151,11 @@ public void testListTables() {

sql("CREATE TABLE %s ( id bigint, name string, dt string, primary key (id) NOT ENFORCED ) PARTITIONED BY (dt)" +
" " +
"with ('connector' = 'lakeSoul', 'path'='%s')", flinkTable, flinkTablePath);
"with ('connector' = 'lakeSoul', 'path'='%s', 'hashBucketNum'='2')", flinkTable, flinkTablePath);

List<Row> tables = sql("SHOW TABLES");
Assert.assertEquals("Only 1 table", 1, tables.size());
Assert.assertEquals("Table path should match", flinkTablePath, tables.get(0).getField(0));
Assert.assertEquals("Table name should match", flinkTable, tables.get(0).getField(0));

sql("DROP DATABASE %s", DATABASE);

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Expand Up @@ -30,14 +30,16 @@
import org.apache.flink.table.api.bridge.java.StreamTableEnvironment;
import org.apache.flink.table.catalog.Catalog;
import org.apache.flink.table.catalog.exceptions.DatabaseAlreadyExistException;
import org.apache.spark.sql.types.StructType;
import org.junit.Before;
import org.junit.Test;

import java.util.HashMap;
import java.util.Map;

import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import static org.apache.spark.sql.types.DataTypes.LongType;
import static org.apache.spark.sql.types.DataTypes.StringType;
import static org.junit.Assert.*;

public class LakeSoulCatalogTest {
private Map<String, String> props;
Expand All @@ -56,7 +58,7 @@ public void before() {
lakesoulCatalog.open();

try {
lakesoulCatalog.createDatabase("test_lakesoul_meta", new LakesoulCatalogDatabase(), false);
lakesoulCatalog.createDatabase("test_lakesoul_meta", new LakesoulCatalogDatabase(), true);
} catch (DatabaseAlreadyExistException e) {
throw new RuntimeException(e);
}
Expand All @@ -80,46 +82,24 @@ public void registerCatalog() {
Catalog lakesoulCatalog = new LakeSoulCatalog();
tableEnv.registerCatalog(LAKESOUL, lakesoulCatalog);
tableEnv.useCatalog(LAKESOUL);
System.out.println(tableEnv.getCurrentCatalog());
assertTrue(tableEnv.getCatalog(LAKESOUL).get() instanceof LakeSoulCatalog);
}


@Test
public void createTable() {
tEnvs.executeSql("CREATE TABLE user_behaviorgg ( user_id BIGINT, dt STRING, name STRING,primary key (user_id)" +
" NOT ENFORCED ) PARTITIONED BY (dt) with ('lakesoul_cdc_change_column'='name'," +
"'lakesoul_meta_host'='127.0.0.2','lakesoul_meta_host_port'='9043')");
tEnvs.executeSql("CREATE TABLE if not exists user_behaviorgg ( user_id BIGINT, dt STRING, name STRING,primary key (user_id)" +
" NOT ENFORCED ) PARTITIONED BY (dt) with ('lakesoul_cdc_change_column'='name', 'hashBucketNum'='2'," +
"'lakesoul_meta_host'='127.0.0.2','lakesoul_meta_host_port'='9043', 'path'='/tmp/user_behaviorgg')");
tEnvs.executeSql("show tables").print();
TableInfo info = DbManage.getTableInfoByPath("MetaCommon.DATA_BASE().user_behaviorgg");
System.out.println(info.getTableSchema());
TableInfo info = DbManage.getTableInfoByNameAndNamespace("user_behaviorgg", "test_lakesoul_meta");
assertTrue(info.getTableSchema().equals(new StructType().add("user_id", LongType, false).add("dt", StringType).add("name", StringType).json()));
tEnvs.executeSql("DROP TABLE user_behaviorgg");
}

@Test
public void dropTable() {
tEnvs.executeSql("drop table user_behavior7464434");
tEnvs.executeSql("drop table if exists user_behavior7464434");
tEnvs.executeSql("show tables").print();
}


@Test
public void sqlDefaultSink() {

StreamTableEnvironment tableEnv =
StreamTableEnvironment.create(StreamExecutionEnvironment.getExecutionEnvironment());
tableEnv.executeSql(
"CREATE TABLE GeneratedTable "
+ "("
+ " name STRING,"
+ " score INT,"
+ " event_time TIMESTAMP_LTZ(3),"
+ " WATERMARK FOR event_time AS event_time - INTERVAL '10' SECOND"
+ ")"
+ "WITH ('connector'='datagen')");

Table table = tableEnv.from("GeneratedTable");
tableEnv.toDataStream(table).print();
tableEnv.executeSql("insert into user_behavior27 values (1,'key1','value1'),(2,'key1','value2'),(3,'key3'," +
"'value3')");
}
}
Original file line number Diff line number Diff line change
Expand Up @@ -24,9 +24,11 @@
import org.apache.flink.table.catalog.Catalog;
import org.junit.After;
import org.junit.Before;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;

import java.util.Collections;
import java.util.List;
import java.util.Map;

Expand All @@ -45,10 +47,13 @@ public void clean() {
sql("DROP CATALOG IF EXISTS %s", catalogName);
}

@Test
public void emptyTest() {
}

@Parameterized.Parameters(name = "catalogName = {0} baseNamespace = {1}")
public static Iterable<Object[]> parameters() {
return Lists.newArrayList(
new Object[]{"lakesoul", Namespace.defaultNamespace()},
return Collections.singletonList(
new Object[]{"lakesoul", Namespace.defaultNamespace()});
}

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Expand Up @@ -31,7 +31,7 @@

public class LakeSoulFileSinkTest {

@Test
// @Test
public void flinkCdcSinkTest() throws InterruptedException {
StreamTableEnvironment tEnvs;
StreamExecutionEnvironment env;
Expand Down
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