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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,149 +1,14 @@ | ||
| package io.github.yuxiqian.phaker | ||
| package source | ||
|
|
||
| import source.PhakerDatabase.{colCount, idCount} | ||
|
|
||
| import org.apache.flink.cdc.common.event._ | ||
| import org.apache.flink.cdc.common.schema.Column | ||
| import org.apache.flink.cdc.runtime.typeutils.BinaryRecordDataGenerator | ||
| import org.apache.flink.streaming.api.functions.source.SourceFunction | ||
|
|
||
| import java.util | ||
| import org.apache.flink.cdc.common.event.Event | ||
| import org.apache.flink.streaming.api.functions.source.datagen.{DataGenerator, DataGeneratorSource} | ||
|
|
||
| class PhakerSourceFunction( | ||
| tableId: TableId, | ||
| rejectedTypes: Set[String], | ||
| schemaEvolve: Boolean, | ||
| maxColumnCount: Int, | ||
| batchCount: Int, | ||
| sleepTime: Int | ||
| ) extends SourceFunction[Event] { | ||
|
|
||
| private type Context = SourceFunction.SourceContext[Event] | ||
|
|
||
| private var isRunning = true | ||
|
|
||
| override def run(ctx: Context): Unit = { | ||
|
|
||
| ctx.collect( | ||
| new CreateTableEvent( | ||
| tableId, | ||
| PhakerDatabase.genSchema | ||
| ) | ||
| ) | ||
|
|
||
| while (isRunning) { | ||
| PhakerDatabase.synchronized { | ||
| println("Emitting insert events...") | ||
| emitInsertEvents(ctx, batchCount) | ||
| emitSchemaEvolutionEvents(ctx) | ||
|
|
||
| println("Emitting update events...") | ||
| emitUpdateEvents(ctx, batchCount) | ||
| emitSchemaEvolutionEvents(ctx) | ||
|
|
||
| println("Emitting delete events...") | ||
| emitDeleteEvents(ctx, batchCount) | ||
| emitSchemaEvolutionEvents(ctx) | ||
| } | ||
| Thread.sleep(sleepTime) | ||
| } | ||
| } | ||
|
|
||
| private def emitInsertEvents(ctx: Context, count: Int): Unit = { | ||
| for (_ <- 0 until count) { | ||
| val insertedData = genRecord() | ||
| ctx.collect( | ||
| DataChangeEvent.insertEvent(tableId, insertedData) | ||
| ) | ||
| } | ||
| } | ||
|
|
||
| private def emitUpdateEvents(ctx: Context, count: Int): Unit = { | ||
| for (_ <- 0 until count) { | ||
| val updateBeforeData = genRecord() | ||
| ctx.collect( | ||
| DataChangeEvent.insertEvent(tableId, updateBeforeData) | ||
| ) | ||
|
|
||
| idCount.synchronized { | ||
| idCount -= 1 | ||
| } | ||
|
|
||
| val updateAfterData = genRecord() | ||
| ctx.collect( | ||
| DataChangeEvent.updateEvent(tableId, updateBeforeData, updateAfterData) | ||
| ) | ||
| } | ||
| } | ||
|
|
||
| private def emitDeleteEvents(ctx: Context, count: Int): Unit = { | ||
| for (_ <- 0 until count) { | ||
| val deleteBeforeData = genRecord() | ||
| ctx.collect( | ||
| DataChangeEvent.insertEvent(tableId, deleteBeforeData) | ||
| ) | ||
|
|
||
| idCount.synchronized { | ||
| idCount -= 1 | ||
| } | ||
|
|
||
| ctx.collect( | ||
| DataChangeEvent.deleteEvent(tableId, deleteBeforeData) | ||
| ) | ||
| } | ||
| } | ||
|
|
||
| private def genRecord() = { | ||
| val generator = new BinaryRecordDataGenerator( | ||
| PhakerDatabase.columnList.map(_._2) | ||
| ) | ||
| val rowData = PhakerDatabase.columnList | ||
| .map(col => PhakeDataGenerator.randomData(col._1, col._2)) | ||
|
|
||
| println(s"Generated data record: ${rowData.mkString("Array(", ", ", ")")}") | ||
| generator.generate( | ||
| rowData | ||
| ) | ||
| } | ||
|
|
||
| private def emitSchemaEvolutionEvents(ctx: Context): Unit = { | ||
|
|
||
| if (!schemaEvolve) { return } | ||
| if (colCount > maxColumnCount) { | ||
| return | ||
| } | ||
|
|
||
| println("Emitting schema change events...") | ||
|
|
||
| val addedColumnName = colCount.synchronized { | ||
| colCount += 1 | ||
| s"column$colCount" | ||
| } | ||
| val addedColumnType = PhakeDataGenerator.randomType(rejectedTypes) | ||
|
|
||
| PhakerDatabase.columnList.synchronized { | ||
|
|
||
| PhakerDatabase.columnList :+= (addedColumnName, addedColumnType) | ||
| ctx.collect( | ||
| new AddColumnEvent( | ||
| tableId, | ||
| util.Arrays.asList( | ||
| new AddColumnEvent.ColumnWithPosition( | ||
| Column.physicalColumn( | ||
| addedColumnName, | ||
| addedColumnType | ||
| ) | ||
| ) | ||
| ) | ||
| ) | ||
| ) | ||
| } | ||
|
|
||
| println(s"Done, new schema: ${PhakerDatabase.genSchema}") | ||
| } | ||
|
|
||
| override def cancel(): Unit = { | ||
| isRunning = false | ||
| } | ||
| } | ||
| generator: DataGenerator[Event], | ||
| rowsPerSecond: Long | ||
| ) extends DataGeneratorSource[Event]( | ||
| generator, | ||
| rowsPerSecond, | ||
| null | ||
| ) {} |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,141 @@ | ||
| package io.github.yuxiqian.phaker | ||
| package source | ||
|
|
||
| import source.PhakerDatabase.{colCount, idCount} | ||
|
|
||
| import org.apache.flink.cdc.common.event._ | ||
| import org.apache.flink.cdc.common.schema.Column | ||
| import org.apache.flink.cdc.runtime.typeutils.BinaryRecordDataGenerator | ||
| import org.apache.flink.streaming.api.functions.source.datagen.RandomGenerator | ||
|
|
||
| import java.util | ||
|
|
||
| class PhakerSourceGenerator( | ||
| tableId: TableId, | ||
| rejectedTypes: Set[String], | ||
| schemaEvolve: Boolean, | ||
| maxColumnCount: Int | ||
| ) extends RandomGenerator[Event] { | ||
|
|
||
| private val cachedEvents: util.List[Event] = { | ||
| val cache = new util.ArrayList[Event] | ||
| cache.add( | ||
| new CreateTableEvent( | ||
| tableId, | ||
| PhakerDatabase.genSchema | ||
| ) | ||
| ) | ||
| cache | ||
| } | ||
|
|
||
| override def next(): Event = { | ||
| cachedEvents.synchronized { | ||
| if (cachedEvents.isEmpty) { | ||
| pushEvents() | ||
| } | ||
| cachedEvents.remove(0) | ||
| } | ||
| } | ||
|
|
||
| private def pushEvents(): Unit = { | ||
| PhakerDatabase.synchronized { | ||
| println("Emitting insert events...") | ||
|
|
||
| { | ||
| val insertedData = genRecord() | ||
| cachedEvents.add( | ||
| DataChangeEvent.insertEvent(tableId, insertedData) | ||
| ) | ||
| } | ||
|
|
||
| { | ||
| val updateBeforeData = genRecord() | ||
| cachedEvents.add( | ||
| DataChangeEvent.insertEvent(tableId, updateBeforeData) | ||
| ) | ||
|
|
||
| idCount.synchronized { | ||
| idCount -= 1 | ||
| } | ||
|
|
||
| val updateAfterData = genRecord() | ||
| cachedEvents.add( | ||
| DataChangeEvent.updateEvent( | ||
| tableId, | ||
| updateBeforeData, | ||
| updateAfterData | ||
| ) | ||
| ) | ||
| } | ||
|
|
||
| { | ||
|
|
||
| val deleteBeforeData = genRecord() | ||
| cachedEvents.add( | ||
| DataChangeEvent.insertEvent(tableId, deleteBeforeData) | ||
| ) | ||
|
|
||
| idCount.synchronized { | ||
| idCount -= 1 | ||
| } | ||
|
|
||
| cachedEvents.add( | ||
| DataChangeEvent.deleteEvent(tableId, deleteBeforeData) | ||
| ) | ||
| } | ||
|
|
||
| { | ||
| emitSchemaEvolutionEvents().foreach( | ||
| cachedEvents.add | ||
| ) | ||
| } | ||
| } | ||
| } | ||
|
|
||
| private def genRecord() = { | ||
| val generator = new BinaryRecordDataGenerator( | ||
| PhakerDatabase.columnList.map(_._2) | ||
| ) | ||
| val rowData = PhakerDatabase.columnList | ||
| .map(col => PhakeDataGenerator.randomData(col._1, col._2)) | ||
|
|
||
| println(s"Generated data record: ${rowData.mkString("Array(", ", ", ")")}") | ||
| generator.generate( | ||
| rowData | ||
| ) | ||
| } | ||
|
|
||
| private def emitSchemaEvolutionEvents(): Option[Event] = { | ||
|
|
||
| if (!schemaEvolve) { return None } | ||
| if (colCount > maxColumnCount) { | ||
| return None | ||
| } | ||
|
|
||
| println("Emitting schema change events...") | ||
|
|
||
| val addedColumnName = colCount.synchronized { | ||
| colCount += 1 | ||
| s"column$colCount" | ||
| } | ||
| val addedColumnType = PhakeDataGenerator.randomType(rejectedTypes) | ||
|
|
||
| PhakerDatabase.columnList.synchronized { | ||
| PhakerDatabase.columnList :+= (addedColumnName, addedColumnType) | ||
| println(s"Done, new schema: ${PhakerDatabase.genSchema}") | ||
| Some( | ||
| new AddColumnEvent( | ||
| tableId, | ||
| util.Arrays.asList( | ||
| new AddColumnEvent.ColumnWithPosition( | ||
| Column.physicalColumn( | ||
| addedColumnName, | ||
| addedColumnType | ||
| ) | ||
| ) | ||
| ) | ||
| ) | ||
| ) | ||
| } | ||
| } | ||
| } |
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