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A data generator source connector for Flink SQL based on data-faker.

License: Apache License 2.0

Java 100.00%

flink apache-flink flink-sql

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flink-faker's Issues

Faker has a small probability to generate NULL values for columns with a zero null rate

This is because in FlinkFakerSourceFunction#generateNextRow we have the following code:

float fieldNullRate = fieldNullRates[i];
if (rand.nextFloat() > fieldNullRate) {
  String value = faker.expression(fieldExpressions[i]);
  row.setField(i, FakerUtils.stringValueToType(value, typeRoot));
} else {
  row.setField(i, null);
}

It should be rand.nextFloat() >= fieldNullRate as rand.nextFloat() generates a value in [0, 1), so it is possible for a column with zero null rate to generate a null value.

Use this following test code to verify what I have said.

import java.util.Random;

public class Test {
	public static void main(String[] args) {
		Random random = new Random();
		while (random.nextFloat() > 0.0f);
		System.out.println("!!!\n");
	}
}

The code will exit shortly and prints out !!!.

flink-faker 0.5.1 doesn't work with flink 1.14.4 due to api incompatability

java.lang.AbstractMethodError: com.github.knaufk.flink.faker.FlinkFakerTableSource$1.produceDataStream(Lorg/apache/flink/streaming/api/environment/StreamExecutionEnvironment;)Lorg/apache/flink/streaming/api/datastream/DataStream;
	at org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecTableSourceScan.translateToPlanInternal(CommonExecTableSourceScan.java:106)
	at org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134)
	at org.apache.flink.table.planner.plan.nodes.exec.ExecEdge.translateToPlan(ExecEdge.java:250)
	at org.apache.flink.table.planner.plan.nodes.exec.common.CommonExecCalc.translateToPlanInternal(CommonExecCalc.java:88)
	at org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134)
	at org.apache.flink.table.planner.plan.nodes.exec.ExecEdge.translateToPlan(ExecEdge.java:250)
	at org.apache.flink.table.planner.plan.nodes.exec.stream.StreamExecSink.translateToPlanInternal(StreamExecSink.java:114)
	at org.apache.flink.table.planner.plan.nodes.exec.ExecNodeBase.translateToPlan(ExecNodeBase.java:134)
	at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$1.apply(StreamPlanner.scala:71)
	at org.apache.flink.table.planner.delegation.StreamPlanner$$anonfun$1.apply(StreamPlanner.scala:70)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
	at scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)

Support More Complex Data Types

Support for ROW, MAP, ÀRRAY and MULTISET

Expose Source/Sink Metrics

There are some metrics in https://cwiki.apache.org/confluence/display/FLINK/FLIP-33%3A+Standardize+Connector+Metrics, which we could implement for flink-faker, too, like numRecordsIn.

Hi there, my name is Erik Pragt, and sorry for the plug, but I'm one of the authors of Datafaker (https://www.datafaker.net), and I was wondering if you'd be willing to consider to migrate to datafaker.net instead of javafaker.

Datafaker is a fork of Javafaker, but it's a bit more modern (Java 8/11), almost zero dependencies (since 1.1.0), has a lot of new data providers, quite a few issues fixed, and I'm planning on making a release ~every month. I've created Datafaker mostly because of the lack of releases of Javafaker and their inactivity on open PRs, which is something which I'm hoping to do better for Datafaker.

Datafaker is mostly a drop in replacement of Javafaker, so migrating should be low effort, but I'm willing to submit a PR if you are open to the idea of a migration, but no worries if not! Cheers, Erik

Support Null Rate per Field

For some queries, it would be convenient to generate null values for some fields and some columns.

The null rate determines the frequency at which a field is empty. For each field, the null rate could be configured via the Table options. The null rate would default to 0.0.

Demo web application page link broken

It looks like the demo web application page is broken and clicking on it shows the following application error:

Application error An error occurred in the application and your page could not be served. If you are the application owner, [check your logs for details](https://devcenter.heroku.com/articles/logging#view-logs). You can do this from the Heroku CLI with the command

Move from TravisCI to GHA

Cannot use #{address.city} in expression

Run the following SQL in SQL client:

create temporary table faker ( a string ) with ( 'connector' = 'faker', 'number-of-rows' = '10', 'fields.a.expression' = '#{address.city}' );
select * from faker;

Exception:

Caused by: org.apache.flink.table.api.ValidationException: Unable to create a source for reading table 'default_catalog.default_database.faker'.

Table options are:

'connector'='faker'
'fields.a.expression'='#{address.city}'
'number-of-rows'='10'
	at org.apache.flink.table.factories.FactoryUtil.createDynamicTableSource(FactoryUtil.java:159) ~[flink-table-api-java-uber-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.factories.FactoryUtil.createDynamicTableSource(FactoryUtil.java:184) ~[flink-table-api-java-uber-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.planner.plan.schema.CatalogSourceTable.createDynamicTableSource(CatalogSourceTable.java:178) ~[?:?]
	at org.apache.flink.table.planner.plan.schema.CatalogSourceTable.toRel(CatalogSourceTable.java:116) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.toRel(SqlToRelConverter.java:3585) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertIdentifier(SqlToRelConverter.java:2507) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2144) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2093) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2050) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertSelectImpl(SqlToRelConverter.java:663) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertSelect(SqlToRelConverter.java:644) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertQueryRecursive(SqlToRelConverter.java:3438) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertQuery(SqlToRelConverter.java:570) ~[?:?]
	at org.apache.flink.table.planner.calcite.FlinkPlannerImpl.org$apache$flink$table$planner$calcite$FlinkPlannerImpl$$rel(FlinkPlannerImpl.scala:198) ~[?:?]
	at org.apache.flink.table.planner.calcite.FlinkPlannerImpl.rel(FlinkPlannerImpl.scala:190) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.toQueryOperation(SqlToOperationConverter.java:1240) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convertSqlQuery(SqlToOperationConverter.java:1188) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convertValidatedSqlNode(SqlToOperationConverter.java:345) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convert(SqlToOperationConverter.java:238) ~[?:?]
	at org.apache.flink.table.planner.delegation.ParserImpl.parse(ParserImpl.java:105) ~[?:?]
	at org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$parseStatement$1(LocalExecutor.java:172) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.client.gateway.context.ExecutionContext.wrapClassLoader(ExecutionContext.java:88) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.client.gateway.local.LocalExecutor.parseStatement(LocalExecutor.java:172) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	... 11 more
Caused by: org.apache.flink.table.api.ValidationException: Invalid expression for column "a".
	at com.github.knaufk.flink.faker.FlinkFakerTableSourceFactory.readAndValidateFieldExpression(FlinkFakerTableSourceFactory.java:187) ~[flink-faker-0.4.1.jar:?]
	at com.github.knaufk.flink.faker.FlinkFakerTableSourceFactory.createDynamicTableSource(FlinkFakerTableSourceFactory.java:90) ~[flink-faker-0.4.1.jar:?]
	at com.github.knaufk.flink.faker.FlinkFakerTableSourceFactory.createDynamicTableSource(FlinkFakerTableSourceFactory.java:21) ~[flink-faker-0.4.1.jar:?]
	at org.apache.flink.table.factories.FactoryUtil.createDynamicTableSource(FactoryUtil.java:156) ~[flink-table-api-java-uber-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.factories.FactoryUtil.createDynamicTableSource(FactoryUtil.java:184) ~[flink-table-api-java-uber-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.planner.plan.schema.CatalogSourceTable.createDynamicTableSource(CatalogSourceTable.java:178) ~[?:?]
	at org.apache.flink.table.planner.plan.schema.CatalogSourceTable.toRel(CatalogSourceTable.java:116) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.toRel(SqlToRelConverter.java:3585) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertIdentifier(SqlToRelConverter.java:2507) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2144) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2093) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2050) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertSelectImpl(SqlToRelConverter.java:663) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertSelect(SqlToRelConverter.java:644) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertQueryRecursive(SqlToRelConverter.java:3438) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertQuery(SqlToRelConverter.java:570) ~[?:?]
	at org.apache.flink.table.planner.calcite.FlinkPlannerImpl.org$apache$flink$table$planner$calcite$FlinkPlannerImpl$$rel(FlinkPlannerImpl.scala:198) ~[?:?]
	at org.apache.flink.table.planner.calcite.FlinkPlannerImpl.rel(FlinkPlannerImpl.scala:190) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.toQueryOperation(SqlToOperationConverter.java:1240) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convertSqlQuery(SqlToOperationConverter.java:1188) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convertValidatedSqlNode(SqlToOperationConverter.java:345) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convert(SqlToOperationConverter.java:238) ~[?:?]
	at org.apache.flink.table.planner.delegation.ParserImpl.parse(ParserImpl.java:105) ~[?:?]
	at org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$parseStatement$1(LocalExecutor.java:172) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.client.gateway.context.ExecutionContext.wrapClassLoader(ExecutionContext.java:88) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.client.gateway.local.LocalExecutor.parseStatement(LocalExecutor.java:172) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	... 11 more
Caused by: java.lang.RuntimeException: Unable to resolve #{city_suffix} directive.
	at net.datafaker.service.FakeValuesService.resolveExpression(FakeValuesService.java:446) ~[flink-faker-0.4.1.jar:?]
	at net.datafaker.service.FakeValuesService.lambda$resolveExpression$1(FakeValuesService.java:450) ~[flink-faker-0.4.1.jar:?]
	at java.util.stream.ReferencePipeline$3$1.accept(ReferencePipeline.java:193) ~[?:1.8.0_252]
	at java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1382) ~[?:1.8.0_252]
	at java.util.stream.AbstractPipeline.copyInto(AbstractPipeline.java:482) ~[?:1.8.0_252]
	at java.util.stream.AbstractPipeline.wrapAndCopyInto(AbstractPipeline.java:472) ~[?:1.8.0_252]
	at java.util.stream.ReduceOps$ReduceOp.evaluateSequential(ReduceOps.java:708) ~[?:1.8.0_252]
	at java.util.stream.AbstractPipeline.evaluate(AbstractPipeline.java:234) ~[?:1.8.0_252]
	at java.util.stream.ReferencePipeline.collect(ReferencePipeline.java:566) ~[?:1.8.0_252]
	at net.datafaker.service.FakeValuesService.resolveExpression(FakeValuesService.java:457) ~[flink-faker-0.4.1.jar:?]
	at net.datafaker.service.FakeValuesService.expression(FakeValuesService.java:407) ~[flink-faker-0.4.1.jar:?]
	at net.datafaker.Faker.expression(Faker.java:713) ~[flink-faker-0.4.1.jar:?]
	at com.github.knaufk.flink.faker.FlinkFakerTableSourceFactory.readAndValidateFieldExpression(FlinkFakerTableSourceFactory.java:185) ~[flink-faker-0.4.1.jar:?]
	at com.github.knaufk.flink.faker.FlinkFakerTableSourceFactory.createDynamicTableSource(FlinkFakerTableSourceFactory.java:90) ~[flink-faker-0.4.1.jar:?]
	at com.github.knaufk.flink.faker.FlinkFakerTableSourceFactory.createDynamicTableSource(FlinkFakerTableSourceFactory.java:21) ~[flink-faker-0.4.1.jar:?]
	at org.apache.flink.table.factories.FactoryUtil.createDynamicTableSource(FactoryUtil.java:156) ~[flink-table-api-java-uber-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.factories.FactoryUtil.createDynamicTableSource(FactoryUtil.java:184) ~[flink-table-api-java-uber-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.planner.plan.schema.CatalogSourceTable.createDynamicTableSource(CatalogSourceTable.java:178) ~[?:?]
	at org.apache.flink.table.planner.plan.schema.CatalogSourceTable.toRel(CatalogSourceTable.java:116) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.toRel(SqlToRelConverter.java:3585) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertIdentifier(SqlToRelConverter.java:2507) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2144) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2093) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2050) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertSelectImpl(SqlToRelConverter.java:663) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertSelect(SqlToRelConverter.java:644) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertQueryRecursive(SqlToRelConverter.java:3438) ~[?:?]
	at org.apache.calcite.sql2rel.SqlToRelConverter.convertQuery(SqlToRelConverter.java:570) ~[?:?]
	at org.apache.flink.table.planner.calcite.FlinkPlannerImpl.org$apache$flink$table$planner$calcite$FlinkPlannerImpl$$rel(FlinkPlannerImpl.scala:198) ~[?:?]
	at org.apache.flink.table.planner.calcite.FlinkPlannerImpl.rel(FlinkPlannerImpl.scala:190) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.toQueryOperation(SqlToOperationConverter.java:1240) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convertSqlQuery(SqlToOperationConverter.java:1188) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convertValidatedSqlNode(SqlToOperationConverter.java:345) ~[?:?]
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convert(SqlToOperationConverter.java:238) ~[?:?]
	at org.apache.flink.table.planner.delegation.ParserImpl.parse(ParserImpl.java:105) ~[?:?]
	at org.apache.flink.table.client.gateway.local.LocalExecutor.lambda$parseStatement$1(LocalExecutor.java:172) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.client.gateway.context.ExecutionContext.wrapClassLoader(ExecutionContext.java:88) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	at org.apache.flink.table.client.gateway.local.LocalExecutor.parseStatement(LocalExecutor.java:172) ~[flink-sql-client-1.15-SNAPSHOT.jar:1.15-SNAPSHOT]
	... 11 more

DatetimeParseException for date expression

Hello,

i use the faker plugin in flink-sql-client within my standalone-cluster.

I created the following table:

CREATE TEMPORARY TABLE server_logs (
    client_ip STRING,
    client_identity STRING,
    userid STRING,
    user_agent STRING,
    log_time TIMESTAMP(3),
    request_line STRING,
    status_code STRING,
    size INT,
    WATERMARK FOR log_time AS log_time - INTERVAL '15' SECONDS
) WITH (
  'connector' = 'faker',
  'fields.client_ip.expression' = '#{Internet.publicIpV4Address}',
  'fields.client_identity.expression' =  '-',
  'fields.userid.expression' =  '-',
  'fields.user_agent.expression' = '#{Internet.userAgentAny}',
  'fields.log_time.expression' =  '#{date.past ''15'',''5'',''SECONDS''}',
  'fields.request_line.expression' = '#{regexify ''(GET|POST|PUT|PATCH){1}''} #{regexify ''(/search\.html|/login\.html|/prod\.html|cart\.html|/order\.html){1}''} #{regexify ''(HTTP/1\.1|HTTP/2|/HTTP/1\.0){1}''}',
  'fields.status_code.expression' = '#{regexify ''(200|201|204|400|401|403|301){1}''}',
  'fields.size.expression' = '#{number.numberBetween ''100'',''10000000''}'
);

Adding was successfull, but then i just wanted to select from this table

SELECT * FROM server_logs

But then the following error occured:

Flink SQL> select * from server_logs;
[ERROR] Could not execute SQL statement. Reason:
java.time.format.DateTimeParseException: Text 'Mon Dec 14 17:29:11 CET 2020' could not be parsed at index 2

The dateformat shown there is the recommeded from your README, so what is the failure?

why ~ in the end?Thanks

A newbie question.

why there's a ~ in the end of thd id produced by faker?

CREATE TABLE subscriptions ( 
    id STRING,
    user_id INT,
    type STRING,
    start_date TIMESTAMP(3),
    end_date TIMESTAMP(3),
    payment_expiration TIMESTAMP(3),
    proc_time AS PROCTIME()
) WITH (
  'connector' = 'faker',
  'fields.id.expression' = '#{Internet.uuid}', 
  'fields.user_id.expression' = '#{number.numberBetween ''1'',''50''}',
  'fields.type.expression'= '#{regexify ''(basic|premium|platinum){1}''}',
  'fields.start_date.expression' = '#{date.past ''30'',''DAYS''}',
  'fields.end_date.expression' = '#{date.future ''365'',''DAYS''}',
  'fields.payment_expiration.expression' = '#{date.future ''365'',''DAYS''}'
);

#{lorem.sentence} and #{lorem.paragraph} are always the same for the same row

Run the following SQL in SQL client:

create temporary table faker (
    a string,
    b string,
    c string,
    d string
) with (
    'connector' = 'faker',
    'number-of-rows' = '3',
    'fields.a.expression' = '#{lorem.sentence}',
    'fields.b.expression' = '#{lorem.sentence}',
    'fields.c.expression' = '#{lorem.paragraph}',
    'fields.d.expression' = '#{lorem.paragraph}'
);
select * from faker;

Result:

                              a                              b                              c                              d
 Fugit id praesentium soluta n~ Fugit id praesentium soluta n~ A tempore numquam inventore c~ A tempore numquam inventore c~
 Fugit id praesentium soluta n~ Fugit id praesentium soluta n~ A tempore numquam inventore c~ A tempore numquam inventore c~
 Fugit id praesentium soluta n~ Fugit id praesentium soluta n~ A tempore numquam inventore c~ A tempore numquam inventore c~

直接下载jar 放到flink1.14 lib下报错 java.lang.ClassNotFoundException: com.github.knaufk.flink.faker.FlinkFakerSourceFunction

flinksql执行了:
CREATE TABLE server_logs (
client_ip STRING,
client_identity STRING,
userid STRING,
user_agent STRING,
log_time TIMESTAMP(3),
request_line STRING,
status_code STRING,
size INT
) WITH (
'connector' = 'faker',
'fields.client_ip.expression' = '#{Internet.publicIpV4Address}',
'fields.client_identity.expression' = '-',
'fields.userid.expression' = '-',
'fields.user_agent.expression' = '#{Internet.userAgentAny}',
'fields.log_time.expression' = '#{date.past ''15'',''5'',''SECONDS''}',
'fields.request_line.expression' = '#{regexify ''(GET|POST|PUT|PATCH){1}''} #{regexify ''(/search.html|/login.html|/prod.html|cart.html|/order.html){1}''} #{regexify ''(HTTP/1.1|HTTP/2|/HTTP/1.0){1}''}',
'fields.status_code.expression' = '#{regexify ''(200|201|204|400|401|403|301){1}''}',
'fields.size.expression' = '#{number.numberBetween ''100'',''10000000''}'
);

CREATE TABLE client_errors (
log_time TIMESTAMP(3),
request_line STRING,
status_code STRING,
size INT
)
WITH (
'connector' = 'blackhole'
);

INSERT INTO client_errors
SELECT
log_time,
request_line,
status_code,
size
FROM server_logs
WHERE
status_code SIMILAR TO '4[0-9][0-9]'
;
select * from server_logs ;

-- 我该怎么解决,难道说必须用你们那个平台?

RowTime field should not be null, please convert it to a non-null long value.

Interpret Table as Changelog

faker tables can already be used in temporal table joins (FOR SYSTEM_TIME AS OF) with processing time.

In order to support event time temporal table joins with faker tables directly, faker tables would need to be interpreted as a changelog in these cases (very similar to the upsert-kafka connector).

This could be done by an upsert-faker connector.

Migrate to New Source Interface

Add Sequence Columns

While Sequences are not supported by data-faker, it would be nice to support them in flink-faker e.g. for primary key columns.

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