>
> 非常感谢，使用的flink1.10.0 中流转成表是是否有字段的数目的限制 我把流转成表 我的流是一个封装的实体类
转换的时候没有这个字段数目的限制的，另外看你的字段也不是很多，一般业务上几百个字段都正常的，你检查下你字段的对应关系
祝好，
Leonard Xu
> tnv.registerDataStream("sqlStream",mysqlinst,'start_ip,'end_ip,'area_id,'unit_id,'device_id)
>
> tnv.registerDataStream("OMstream",value,'original_network_id,'asset_id,'types,'d_ip,'d_port,'s_ip,'s_port,'devip,'url,'common_des,'operation_des,'raw_log,'severity,'happen_time,'create_time,'s_ip_num,
>
> 'd_ip_num,'method,'asset_area_id,'device_id,'s_mac,'d_mac,'scope,'dcope,'s_asset_id,'d_asset_id,'asset_unit_id,'area_id,'unit_id,'enterprise_id)
> tnv.registerFunction("ip_to_num",IPtoNum)
>
> 在转成表时 如下错误
> log4j:WARN See http://logging.apache.org/log4j/1.2/faq.html#noconfig
> <http://logging.apache.org/log4j/1.2/faq.html#noconfig> for more info.
> Exception in thread "main" org.apache.flink.table.api.ValidationException:
> Too many fields referenced from an atomic type.
> at
> org.apache.flink.table.typeutils.FieldInfoUtils.extractFieldInfoFromAtomicType(FieldInfoUtils.java:388)
> at
> org.apache.flink.table.typeutils.FieldInfoUtils.extractFieldInformation(FieldInfoUtils.java:259)
> at
> org.apache.flink.table.typeutils.FieldInfoUtils.getFieldsInfo(FieldInfoUtils.java:227)
> at
> org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl$$anonfun$1.apply(StreamTableEnvironmentImpl.scala:237)
> at
> org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl$$anonfun$1.apply(StreamTableEnvironmentImpl.scala:236)
> at scala.Option.map(Option.scala:146)
> at
> org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl.asQueryOperation(StreamTableEnvironmentImpl.scala:236)
> at
> org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl.fromDataStream(StreamTableEnvironmentImpl.scala:81)
> at
> org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl.registerDataStream(StreamTableEnvironmentImpl.scala:94)
> at
> com.jwell56.networksyslog.jobs.jobsource.MysqlLogToES$.main(MysqlLogToES.scala:77)
> at
> com.jwell56.networksyslog.jobs.jobsource.MysqlLogToES.main(MysqlLogToES.scala)
>
>
>
>
>
> ------------------ 原始邮件 ------------------
> 发件人: "Leonard Xu"<xbjt...@gmail.com <mailto:xbjt...@gmail.com>>;
> 发送时间: 2020年6月10日(星期三) 中午1:16
> 收件人: "user-zh"<user-zh@flink.apache.org
> <mailto:user-zh@flink.apache.org>>;
>
> 主题: Re: 关于flinksql between问题
>
>
>
> Hi,
>
> 看你描述的想要的是自定义source(左表)， 需要同一张mysql
> 维表做join，如果是这样的话，你的sql看起来有点问题，目前的写法是regular join, 维表join的语法[1]：
>
> SELECT
> o.amout, o.currency, r.rate, o.amount * r.rate
> FROM
> Orders AS o
> JOIN LatestRates FOR SYSTEM_TIME AS OF o.proctime AS r
> ON r.currency = o.currency
> 另外JDBC connector是实现了LookupSource的，也就是支持做维表，维表的更新的 connector.lookup.cache.ttl
> 参数控制维表中cache的过期时间，不知道是否满足你的需求。
>
> Best,
> Leonard Xu
>
> [1]
> https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/sql/queries.html#joins
>
> <https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/sql/queries.html#joins><https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/sql/queries.html#joins>
>
> <https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/sql/queries.html#joins>>;
> [2]
> https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/connect.html#jdbc-connector
>
> <https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/connect.html#jdbc-connector>
>
> <https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/connect.html#jdbc-connector>
>
> <https://ci.apache.org/projects/flink/flink-docs-release-1.10/zh/dev/table/connect.html#jdbc-connector>>;
>
> > 在 2020年6月10日，10:43，小屁孩 <932460...@qq.com <mailto:932460...@qq.com>>
> 写道：
> >
> > hi,感谢指导 已经可以实现，可以再问一下 如果我join的是一个mysql维表
> 我是自定义的source定时更新mysql表这样跟流表关联是可以的吗？
> >
> >
> >
> >
> > ------------------&nbsp;原始邮件&nbsp;------------------
> > 发件人:&nbsp;"wangweigu...@stevegame.cn
> <mailto:wangweigu...@stevegame.cn>"<wangweigu...@stevegame.cn
> <mailto:wangweigu...@stevegame.cn>&gt;;
> > 发送时间:&nbsp;2020年6月9日(星期二) 晚上6:35
> > 收件人:&nbsp;"user-zh"<user-zh@flink.apache.org
> <mailto:user-zh@flink.apache.org>&gt;;
> >
> > 主题:&nbsp;回复: 回复： 关于flinksql between问题
> >
> >
> >
> >
> > &nbsp; 我在1.10中用 useBlinkPlanner是可以的，用useOldPlanner是不可以的！
> > &nbsp;
> > 会报你下面的错误：
> > &nbsp; Exception in thread "main"
> org.apache.flink.table.api.TableException: Cannot generate a valid execution
> plan for the given query:
> >
> > LogicalProject(num=[$0])
> > &nbsp; LogicalJoin(condition=[AND(&gt;($0, $1), <($0, $2))],
> joinType=[inner])
> > &nbsp;&nbsp;&nbsp; FlinkLogicalDataStreamScan(id=[1],
> fields=[num])
> > &nbsp;&nbsp;&nbsp; FlinkLogicalDataStreamScan(id=[2],
> fields=[startNum, endNum])
> >
> > This exception indicates that the query uses an unsupported SQL feature.
> >
> >
> >
> >
> > &nbsp;
> > 发件人： 小屁孩
> > 发送时间： 2020-06-09 17:41
> > 收件人： user-zh
> > 主题： 回复： 关于flinksql between问题
> > hi，我使用的是&amp;nbsp;
> > 1 flink1.9.0
> > 2 oldplanner
> > <dependency&amp;gt;
> > <groupId&amp;gt;org.apache.flink</groupId&amp;gt;
> > <artifactId&amp;gt;flink-table-api-scala_2.11</artifactId&amp;gt;
> > <version&amp;gt;1.9.0</version&amp;gt;
> > </dependency&amp;gt;
> > &nbsp;
> > &nbsp;
> > <dependency&amp;gt;
> > <groupId&amp;gt;org.apache.flink</groupId&amp;gt;
> > <artifactId&amp;gt;flink-table-planner_2.11</artifactId&amp;gt;
> > <version&amp;gt;1.9.0</version&amp;gt;
> > </dependency&amp;gt;
> > &nbsp;
> > 3 streaming mode
> > 4. 代码类似如下
> > &amp;nbsp; &amp;nbsp; val sqlStream = env.createInput(jdbcInput)
> > &amp;nbsp; &amp;nbsp;
> tnv.registerDataStream("sqlStream",sqlStream,'netstruct_id,'start_ip,'end_ip)
> > &amp;nbsp; &amp;nbsp;
> tnv.registerDataStream("OMstream",value,'ip)
> > //&amp;nbsp; &amp;nbsp; val table = tnv.sqlQuery("select *
> from&amp;nbsp; OMstream as&amp;nbsp; a left join sqlStream
> as&amp;nbsp; b on a.ip &amp;gt;b.start_ip and a.ip<b.end_ip")
> > &amp;nbsp; &amp;nbsp; val table = tnv.sqlQuery("select
> b.netstruct_id from&amp;nbsp; OMstream as&amp;nbsp; a left join
> sqlStream as b on a.ip &amp;gt; b.start_ip and a.ip <b.end_ip ")
> > &amp;nbsp; &amp;nbsp; val resRow = table.toRetractStream[Row]
> > &nbsp;
> > 5 报错信息如下
> > Exception in thread "main" org.apache.flink.table.api.TableException:
> Cannot generate a valid execution plan for the given query:&amp;nbsp;
> > &nbsp;
> > &nbsp;
> > LogicalProject(netstruct_id=[$1])
> > &amp;nbsp; LogicalJoin(condition=[AND(&amp;gt;($0, $2), <($0,
> $3))], joinType=[left])
> > &amp;nbsp; &amp;nbsp; FlinkLogicalDataStreamScan(id=[1],
> fields=[ip])
> > &amp;nbsp; &amp;nbsp; FlinkLogicalDataStreamScan(id=[2],
> fields=[netstruct_id, start_ip, end_ip])
> > &nbsp;
> > &nbsp;
> > This exception indicates that the query uses an unsupported SQL feature.
> > Please check the documentation for the set of currently supported SQL
> features.
> > at
> org.apache.flink.table.plan.Optimizer.runVolcanoPlanner(Optimizer.scala:245)
> > at
> org.apache.flink.table.plan.Optimizer.optimizeLogicalPlan(Optimizer.scala:160)
> > at
> org.apache.flink.table.plan.StreamOptimizer.optimize(StreamOptimizer.scala:66)
> > at
> org.apache.flink.table.planner.StreamPlanner.translateToType(StreamPlanner.scala:410)
> > at
> org.apache.flink.table.planner.StreamPlanner.org$apache$flink$table$planner$StreamPlanner$$translate(StreamPlanner.scala:182)
> > at
> org.apache.flink.table.planner.StreamPlanner$$anonfun$translate$1.apply(StreamPlanner.scala:127)
> > at
> org.apache.flink.table.planner.StreamPlanner$$anonfun$translate$1.apply(StreamPlanner.scala:127)
> > at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> > at
> scala.collection.TraversableLike$$anonfun$map$1.apply(TraversableLike.scala:234)
> > at scala.collection.Iterator$class.foreach(Iterator.scala:891)
> > at scala.collection.AbstractIterator.foreach(Iterator.scala:1334)
> > at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
> > at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
> > at scala.collection.TraversableLike$class.map(TraversableLike.scala:234)
> > at scala.collection.AbstractTraversable.map(Traversable.scala:104)
> > at
> org.apache.flink.table.planner.StreamPlanner.translate(StreamPlanner.scala:127)
> > at
> org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl.toDataStream(StreamTableEnvironmentImpl.scala:201)
> > at
> org.apache.flink.table.api.scala.internal.StreamTableEnvironmentImpl.toRetractStream(StreamTableEnvironmentImpl.scala:124)
> > at
> org.apache.flink.table.api.scala.TableConversions.toRetractStream(TableConversions.scala:146)
> > at com.jwell56.linkstarck.LInkStream$.main(LInkStream.scala:37)
> > at com.jwell56.linkstarck.LInkStream.main(LInkStream.scala)
> > &nbsp;
> > &nbsp;
> > &nbsp;
> > &nbsp;
> > &nbsp;
> > 6 我也尝试使用了&amp;nbsp;
> > select b.netstruct_id from&amp;nbsp; OMstream as&amp;nbsp; a
> left join sqlStream as b on a.ip &amp;gt; b.start_ip
> > 同样是单个大小比较也是不可以的&amp;nbsp;
> > &nbsp;
> > &nbsp;
> > 谢谢！
> > &nbsp;
> > &nbsp;
> > &nbsp;
> > &nbsp;
> > ------------------&amp;nbsp;原始邮件&amp;nbsp;------------------
> > 发件人:&amp;nbsp;"Benchao Li"<libenc...@apache.org
> <mailto:libenc...@apache.org>&amp;gt;;
> > 发送时间:&amp;nbsp;2020年6月9日(星期二) 下午4:37
> > 收件人:&amp;nbsp;"user-zh"<user-zh@flink.apache.org
> <mailto:user-zh@flink.apache.org>&amp;gt;;
> > &nbsp;
> > 主题:&amp;nbsp;Re: 关于flinksql between问题
> > &nbsp;
> > &nbsp;
> > &nbsp;
> > 方便补充一下以下信息么？
> > 1. 你使用的Flink的版本？
> > 2. 使用的planner，是blink planner还是old planner？
> > 3. 用的是streaming mode还是batch mode？
> > 4. 具体的报错信息是什么？
> > &nbsp;
> > 小屁孩 <932460...@qq.com&amp;gt; 于2020年6月9日周二 下午4:26写道：
> > &nbsp;
> > &amp;gt; hi，我在flinksql中使用 select * from a join b on a.ip <b.startip
> and a.ip
> > &amp;gt; &amp;amp;gt;b.endip 报了一个错误 不支持此功能
> 类似这种有没有类似between的函数可以使用
