还是不行,
SLF4J: Class path contains multiple SLF4J bindings.
SLF4J: Found binding in 
[jar:file:/Users/Zach/.m2/repository/org/apache/logging/log4j/log4j-slf4j-impl/2.4.1/log4j-slf4j-impl-2.4.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: Found binding in 
[jar:file:/Users/Zach/.m2/repository/org/slf4j/slf4j-log4j12/1.7.7/slf4j-log4j12-1.7.7.jar!/org/slf4j/impl/StaticLoggerBinder.class]
SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an explanation.
SLF4J: Actual binding is of type [org.apache.logging.slf4j.Log4jLoggerFactory]
ERROR StatusLogger No log4j2 configuration file found. Using default 
configuration: logging only errors to the console.
Exception in thread "main" org.apache.flink.table.api.SqlParserException: SQL 
parse failed. Encountered "time FROM" at line 1, column 44.
Was expecting one of:
    "CURSOR" ...
    "EXISTS" ...
    "NOT" ...
    "ROW" ...
    "(" ...
    "+" ...
    "-" ...
    <UNSIGNED_INTEGER_LITERAL> ...
    <DECIMAL_NUMERIC_LITERAL> ...
    <APPROX_NUMERIC_LITERAL> ...
    <BINARY_STRING_LITERAL> ...
    <PREFIXED_STRING_LITERAL> ...
    <QUOTED_STRING> ...
    <UNICODE_STRING_LITERAL> ...
    "TRUE" ...
    "FALSE" ...
    "UNKNOWN" ...
    "NULL" ...
    <LBRACE_D> ...
    <LBRACE_T> ...
    <LBRACE_TS> ...
    "DATE" ...
    "TIME" <QUOTED_STRING> ...
    "TIMESTAMP" ...
    "INTERVAL" ...
    "?" ...
    "CAST" ...
    "EXTRACT" ...
    "POSITION" ...
    "CONVERT" ...
    "TRANSLATE" ...
    "OVERLAY" ...
    "FLOOR" ...
    "CEIL" ...
    "CEILING" ...
    "SUBSTRING" ...
    "TRIM" ...
    "CLASSIFIER" ...
    "MATCH_NUMBER" ...
    "RUNNING" ...
    "PREV" ...
    "NEXT" ...
    "JSON_EXISTS" ...
    "JSON_VALUE" ...
    "JSON_QUERY" ...
    "JSON_OBJECT" ...
    "JSON_OBJECTAGG" ...
    "JSON_ARRAY" ...
    "JSON_ARRAYAGG" ...
    <LBRACE_FN> ...
    "MULTISET" ...
    "ARRAY" ...
    "MAP" ...
    "PERIOD" ...
    "SPECIFIC" ...
    <IDENTIFIER> ...
    <QUOTED_IDENTIFIER> ...
    <BACK_QUOTED_IDENTIFIER> ...
    <BRACKET_QUOTED_IDENTIFIER> ...
    <UNICODE_QUOTED_IDENTIFIER> ...
    "ABS" ...
    "AVG" ...
    "CARDINALITY" ...
    "CHAR_LENGTH" ...
    "CHARACTER_LENGTH" ...
    "COALESCE" ...
    "COLLECT" ...
    "COVAR_POP" ...
    "COVAR_SAMP" ...
    "CUME_DIST" ...
    "COUNT" ...
    "CURRENT_DATE" ...
    "CURRENT_TIME" ...
    "CURRENT_TIMESTAMP" ...
    "DENSE_RANK" ...
    "ELEMENT" ...
    "EXP" ...
    "FIRST_VALUE" ...
    "FUSION" ...
    "GROUPING" ...
    "HOUR" ...
    "LAG" ...
    "LEAD" ...
    "LEFT" ...
    "LAST_VALUE" ...
    "LN" ...
    "LOCALTIME" ...
    "LOCALTIMESTAMP" ...
    "LOWER" ...
    "MAX" ...
    "MIN" ...
    "MINUTE" ...
    "MOD" ...
    "MONTH" ...
    "NTH_VALUE" ...
    "NTILE" ...
    "NULLIF" ...
    "OCTET_LENGTH" ...
    "PERCENT_RANK" ...
    "POWER" ...
    "RANK" ...
    "REGR_COUNT" ...
    "REGR_SXX" ...
    "REGR_SYY" ...
    "RIGHT" ...
    "ROW_NUMBER" ...
    "SECOND" ...
    "SQRT" ...
    "STDDEV_POP" ...
    "STDDEV_SAMP" ...
    "SUM" ...
    "UPPER" ...
    "TRUNCATE" ...
    "USER" ...
    "VAR_POP" ...
    "VAR_SAMP" ...
    "YEAR" ...
    "CURRENT_CATALOG" ...
    "CURRENT_DEFAULT_TRANSFORM_GROUP" ...
    "CURRENT_PATH" ...
    "CURRENT_ROLE" ...
    "CURRENT_SCHEMA" ...
    "CURRENT_USER" ...
    "SESSION_USER" ...
    "SYSTEM_USER" ...
    "NEW" ...
    "CASE" ...
    "CURRENT" ...
    
at 
org.apache.flink.table.planner.calcite.CalciteParser.parse(CalciteParser.java:50)
at 
org.apache.flink.table.planner.calcite.SqlExprToRexConverterImpl.convertToRexNodes(SqlExprToRexConverterImpl.java:79)
at 
org.apache.flink.table.planner.plan.schema.CatalogSourceTable.toRel(CatalogSourceTable.scala:111)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.toRel(SqlToRelConverter.java:3328)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.convertIdentifier(SqlToRelConverter.java:2357)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2051)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2005)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.convertFrom(SqlToRelConverter.java:2083)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.convertSelectImpl(SqlToRelConverter.java:646)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.convertSelect(SqlToRelConverter.java:627)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.convertQueryRecursive(SqlToRelConverter.java:3181)
at 
org.apache.calcite.sql2rel.SqlToRelConverter.convertQuery(SqlToRelConverter.java:563)
at 
org.apache.flink.table.planner.calcite.FlinkPlannerImpl.org$apache$flink$table$planner$calcite$FlinkPlannerImpl$$rel(FlinkPlannerImpl.scala:148)
at 
org.apache.flink.table.planner.calcite.FlinkPlannerImpl.rel(FlinkPlannerImpl.scala:135)
at 
org.apache.flink.table.planner.operations.SqlToOperationConverter.toQueryOperation(SqlToOperationConverter.java:522)
at 
org.apache.flink.table.planner.operations.SqlToOperationConverter.convertSqlQuery(SqlToOperationConverter.java:436)
at 
org.apache.flink.table.planner.operations.SqlToOperationConverter.convert(SqlToOperationConverter.java:154)
at 
org.apache.flink.table.planner.operations.SqlToOperationConverter.convertSqlInsert(SqlToOperationConverter.java:342)
at 
org.apache.flink.table.planner.operations.SqlToOperationConverter.convert(SqlToOperationConverter.java:142)
at 
org.apache.flink.table.planner.delegation.ParserImpl.parse(ParserImpl.java:66)
at 
org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:484)
at 
org.rabbit.sql.FromKafkaSinkMysqlForReal$.main(FromKafkaSinkMysqlForReal.scala:63)
at 
org.rabbit.sql.FromKafkaSinkMysqlForReal.main(FromKafkaSinkMysqlForReal.scala)


query:


streamTableEnv.sqlUpdate(
"""
    |
    |CREATE TABLE user_behavior (
    |    uid VARCHAR,
    |    phoneType VARCHAR,
    |    clickCount INT,
    |    proctime AS PROCTIME(),
    |    `time` TIMESTAMP(3)
    |) WITH (
    |    'connector.type' = 'kafka',
    |    'connector.version' = 'universal',
    |    'connector.topic' = 'user_behavior',
    |    'connector.startup-mode' = 'earliest-offset',
    |    'connector.properties.0.key' = 'zookeeper.connect',
    |    'connector.properties.0.value' = 'cdh1:2181,cdh2:2181,cdh3:2181',
    |    'connector.properties.1.key' = 'bootstrap.servers',
    |    'connector.properties.1.value' = 'cdh1:9092,cdh2:9092,cdh3:9092',
    |    'update-mode' = 'append',
    |    'format.type' = 'json',
    |    'format.derive-schema' = 'true'
    |)
    |""".stripMargin)
streamTableEnv.sqlUpdate(
"""
    |
    |insert into  user_cnt
    |SELECT
    |  cast(b.`time` as string), u.age
    |FROM
    |  user_behavior AS b
    |  JOIN users FOR SYSTEM_TIME AS OF b.`proctime` AS u
    |  ON b.uid = u.uid
    |
    |""".stripMargin)






不过,PROCTIME() AS proctime 放在select 后面可以执行成功,proctime AS PROCTIME() 放在select 
后面也不行。








在 2020-06-12 15:29:49,"Benchao Li" <libenc...@apache.org> 写道:
>你写反了,是proctime AS PROCTIME()。
>计算列跟普通query里面的AS是反着的。
>
>Zhou Zach <wander...@163.com> 于2020年6月12日周五 下午2:24写道:
>
>> flink 1.10.0:
>> 在create table中,加PROCTIME() AS proctime字段报错
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>>
>> 在 2020-06-12 14:08:11,"Benchao Li" <libenc...@apache.org> 写道:
>> >Hi,
>> >
>> >Temporal Table join的时候需要是处理时间,你现在这个b.`time`是一个普通的时间戳,而不是事件时间。
>> >可以参考下[1]
>> >
>> >[1]
>> >
>> https://ci.apache.org/projects/flink/flink-docs-master/dev/table/streaming/time_attributes.html
>> >
>> >Zhou Zach <wander...@163.com> 于2020年6月12日周五 下午1:33写道:
>> >
>> >> SLF4J: Class path contains multiple SLF4J bindings.
>> >>
>> >> SLF4J: Found binding in
>> >>
>> [jar:file:/Users/Zach/.m2/repository/org/apache/logging/log4j/log4j-slf4j-impl/2.4.1/log4j-slf4j-impl-2.4.1.jar!/org/slf4j/impl/StaticLoggerBinder.class]
>> >>
>> >> SLF4J: Found binding in
>> >>
>> [jar:file:/Users/Zach/.m2/repository/org/slf4j/slf4j-log4j12/1.7.7/slf4j-log4j12-1.7.7.jar!/org/slf4j/impl/StaticLoggerBinder.class]
>> >>
>> >> SLF4J: See http://www.slf4j.org/codes.html#multiple_bindings for an
>> >> explanation.
>> >>
>> >> SLF4J: Actual binding is of type
>> >> [org.apache.logging.slf4j.Log4jLoggerFactory]
>> >>
>> >> ERROR StatusLogger No log4j2 configuration file found. Using default
>> >> configuration: logging only errors to the console.
>> >>
>> >> Exception in thread "main" org.apache.flink.table.api.TableException:
>> >> Cannot generate a valid execution plan for the given query:
>> >>
>> >>
>> >>
>> >>
>> >> FlinkLogicalSink(name=[`default_catalog`.`default_database`.`user_cnt`],
>> >> fields=[time, sum_age])
>> >>
>> >> +- FlinkLogicalCalc(select=[CAST(time) AS EXPR$0, age])
>> >>
>> >>    +- FlinkLogicalJoin(condition=[=($0, $2)], joinType=[inner])
>> >>
>> >>       :- FlinkLogicalCalc(select=[uid, time])
>> >>
>> >>       :  +- FlinkLogicalTableSourceScan(table=[[default_catalog,
>> >> default_database, user_behavior, source: [KafkaTableSource(uid,
>> phoneType,
>> >> clickCount, time)]]], fields=[uid, phoneType, clickCount, time])
>> >>
>> >>       +- FlinkLogicalSnapshot(period=[$cor0.time])
>> >>
>> >>          +- FlinkLogicalCalc(select=[uid, age])
>> >>
>> >>             +- FlinkLogicalTableSourceScan(table=[[default_catalog,
>> >> default_database, users, source: [MysqlAsyncLookupTableSource(uid, sex,
>> >> age, created_time)]]], fields=[uid, sex, age, created_time])
>> >>
>> >>
>> >>
>> >>
>> >> Temporal table join currently only supports 'FOR SYSTEM_TIME AS OF' left
>> >> table's proctime field, doesn't support 'PROCTIME()'
>> >>
>> >> Please check the documentation for the set of currently supported SQL
>> >> features.
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.optimize.program.FlinkVolcanoProgram.optimize(FlinkVolcanoProgram.scala:78)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:62)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram$$anonfun$optimize$1.apply(FlinkChainedProgram.scala:58)
>> >>
>> >> at
>> >>
>> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
>> >>
>> >> at
>> >>
>> scala.collection.TraversableOnce$$anonfun$foldLeft$1.apply(TraversableOnce.scala:157)
>> >>
>> >> at scala.collection.Iterator$class.foreach(Iterator.scala:891)
>> >>
>> >> at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
>> >>
>> >> at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
>> >>
>> >> at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
>> >>
>> >> at
>> >>
>> scala.collection.TraversableOnce$class.foldLeft(TraversableOnce.scala:157)
>> >>
>> >> at scala.collection.AbstractTraversable.foldLeft(Traversable.scala:104)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.optimize.program.FlinkChainedProgram.optimize(FlinkChainedProgram.scala:57)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.optimizeTree(StreamCommonSubGraphBasedOptimizer.scala:170)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.optimize.StreamCommonSubGraphBasedOptimizer.doOptimize(StreamCommonSubGraphBasedOptimizer.scala:90)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.optimize.CommonSubGraphBasedOptimizer.optimize(CommonSubGraphBasedOptimizer.scala:77)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.delegation.PlannerBase.optimize(PlannerBase.scala:248)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.delegation.PlannerBase.translate(PlannerBase.scala:151)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.api.internal.TableEnvironmentImpl.translate(TableEnvironmentImpl.java:682)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.api.internal.TableEnvironmentImpl.sqlUpdate(TableEnvironmentImpl.java:495)
>> >>
>> >> at
>> >>
>> org.rabbit.sql.FromKafkaSinkMysqlForReal$.main(FromKafkaSinkMysqlForReal.scala:90)
>> >>
>> >> at
>> >>
>> org.rabbit.sql.FromKafkaSinkMysqlForReal.main(FromKafkaSinkMysqlForReal.scala)
>> >>
>> >> Caused by: org.apache.flink.table.api.TableException: Temporal table
>> join
>> >> currently only supports 'FOR SYSTEM_TIME AS OF' left table's proctime
>> >> field, doesn't support 'PROCTIME()'
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.rules.physical.common.CommonLookupJoinRule$class.matches(CommonLookupJoinRule.scala:67)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.rules.physical.common.BaseSnapshotOnCalcTableScanRule.matches(CommonLookupJoinRule.scala:147)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.rules.physical.common.BaseSnapshotOnCalcTableScanRule.matches(CommonLookupJoinRule.scala:161)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:263)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:370)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:370)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:370)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoRuleCall.matchRecurse(VolcanoRuleCall.java:370)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoRuleCall.match(VolcanoRuleCall.java:247)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.fireRules(VolcanoPlanner.java:1534)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1807)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:846)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:868)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:90)
>> >>
>> >> at
>> >>
>> org.apache.calcite.rel.AbstractRelNode.onRegister(AbstractRelNode.java:329)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1668)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:846)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:868)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:90)
>> >>
>> >> at
>> >>
>> org.apache.calcite.rel.AbstractRelNode.onRegister(AbstractRelNode.java:329)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.registerImpl(VolcanoPlanner.java:1668)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.register(VolcanoPlanner.java:846)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.ensureRegistered(VolcanoPlanner.java:868)
>> >>
>> >> at
>> >>
>> org.apache.calcite.plan.volcano.VolcanoPlanner.changeTraits(VolcanoPlanner.java:529)
>> >>
>> >> at
>> org.apache.calcite.tools.Programs$RuleSetProgram.run(Programs.java:324)
>> >>
>> >> at
>> >>
>> org.apache.flink.table.planner.plan.optimize.program.FlinkVolcanoProgram.optimize(FlinkVolcanoProgram.scala:64)
>> >>
>> >> ... 20 more
>> >>
>> >>
>> >>
>> >>
>> >> query:
>> >>
>> >>
>> >> val streamExecutionEnv =
>> StreamExecutionEnvironment.getExecutionEnvironment
>> >> val blinkEnvSettings =
>> >>
>> EnvironmentSettings.newInstance().useBlinkPlanner().inStreamingMode().build()
>> >> val streamTableEnv =
>> >> StreamTableEnvironment.create(streamExecutionEnv,blinkEnvSettings)
>> >>
>> >> streamTableEnv.sqlUpdate(
>> >> """
>> >>     |
>> >>     |CREATE TABLE user_behavior (
>> >>     |    uid VARCHAR,
>> >>     |    phoneType VARCHAR,
>> >>     |    clickCount INT,
>> >>     |    `time` TIMESTAMP(3)
>> >>     |) WITH (
>> >>     |    'connector.type' = 'kafka',
>> >>     |    'connector.version' = 'universal',
>> >>     |    'connector.topic' = 'user_behavior',
>> >>     |    'connector.startup-mode' = 'earliest-offset',
>> >>     |    'connector.properties.0.key' = 'zookeeper.connect',
>> >>     |    'connector.properties.0.value' =
>> 'cdh1:2181,cdh2:2181,cdh3:2181',
>> >>     |    'connector.properties.1.key' = 'bootstrap.servers',
>> >>     |    'connector.properties.1.value' =
>> 'cdh1:9092,cdh2:9092,cdh3:9092',
>> >>     |    'update-mode' = 'append',
>> >>     |    'format.type' = 'json',
>> >>     |    'format.derive-schema' = 'true'
>> >>     |)
>> >>     |""".stripMargin)
>> >> streamTableEnv.sqlUpdate(
>> >> """
>> >>     |
>> >>     |CREATE TABLE user_cnt (
>> >>     |    `time` VARCHAR,
>> >>     |    sum_age INT
>> >>     |) WITH (
>> >>     |    'connector.type' = 'jdbc',
>> >>     |    'connector.url' = 'jdbc:mysql://localhost:3306/dashboard',
>> >>     |    'connector.table' = 'user_cnt',
>> >>     |    'connector.username' = 'root',
>> >>     |    'connector.password' = '123456',
>> >>     |    'connector.write.flush.max-rows' = '1'
>> >>     |)
>> >>     |""".stripMargin)
>> >> val userTableSource = new MysqlAsyncLookupTableSource(
>> >> Array("uid", "sex", "age", "created_time"),
>> >> Array(),
>> >> Array(Types.STRING, Types.STRING, Types.INT, Types.STRING))
>> >> streamTableEnv.registerTableSource("users", userTableSource)
>> >> streamTableEnv.sqlUpdate(
>> >> """
>> >>     |
>> >>     |insert into  user_cnt
>> >>     |SELECT
>> >>     |  cast(b.`time` as string), u.age
>> >>     |FROM
>> >>     |  user_behavior AS b
>> >>     |  JOIN users FOR SYSTEM_TIME AS OF b.`time` AS u
>> >>     |  ON b.uid = u.uid
>> >>     |
>> >>     |""".stripMargin)
>> >> streamTableEnv.execute("Temporal table join")
>>

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