Cannot apply ‘TO_TIMESTAMP‘ to arguments of type ‘TO_TIMESTAMP(＜BIGINT＞)‘. Supported form(s)

笔墨新城

已于 2024-12-30 17:02:15 修改

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分类专栏： flink 文章标签： watermark 设置 flink table api

于 2021-10-19 19:16:03 首次发布

本文链接：https://blog.youkuaiyun.com/weixin_43975771/article/details/120852482

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前言

我是使用flink table api 出现的错误，我使用的版本是 1.13.1.
这个错出现真的很奇怪，阿里云官网是支持的，blink 的时间函数已经说明
TO_TIMESTAMP 这个支持时间戳（毫秒），或者字符串。
但实际中却不可以用。真的很。。。

在这里插入图片描述

阿里云官网

我的sql 写法：

data_time 是 13位时间戳，但是不可以。

public static final String SOURCE_KAFKA_SNAPSHOT = "CREATE TABLE  tableName (\n" +
            "`date_time` BIGINT ,\n" +
            "`hs_security_id` VARCHAR ,\n" +
            "`security_id` VARCHAR ,\n" +
            "`num_trades` DECIMAL,\n" +
            "`volume` BIGINT,\n" +
            "`amount` DECIMAL,\n" +
            "`phase_code` BIGINT,\n" +
            "bid_price VARCHAR,\n" +
            "bid_qty VARCHAR,\n" +
            "ts AS TO_TIMESTAMP(date_time)," +
            " WATERMARK FOR ts AS ts - INTERVAL '10' SECOND \n" +
            ")WITH (\n" +
            "  'connector' = 'kafka', \n" +
            "  'topic'='xxx',\n" +
            "  'properties.bootstrap.servers' = 'xxx.xxx.xx.xx:9092', \n" +
            "  'format' = 'json',\n" +
            "  'scan.startup.mode' = 'earliest-offset',\n" +
            "'json.fail-on-missing-field' = 'false',\n" +
            " 'json.ignore-parse-errors' = 'true'" +
            ")";

报错信息如下：

Exception in thread "main" org.apache.calcite.runtime.CalciteContextException: From line 18, column 7 to line 18, column 29: Cannot apply 'TO_TIMESTAMP' to arguments of type 'TO_TIMESTAMP(<BIGINT>)'. Supported form(s): 'TO_TIMESTAMP(<CHARACTER>)'
'TO_TIMESTAMP(<CHARACTER>, <CHARACTER>)'
	at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
	at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
	at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
	at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
	at org.apache.calcite.runtime.Resources$ExInstWithCause.ex(Resources.java:467)
	at org.apache.calcite.sql.SqlUtil.newContextException(SqlUtil.java:883)
	at org.apache.calcite.sql.SqlUtil.newContextException(SqlUtil.java:868)
	at org.apache.calcite.sql.validate.SqlValidatorImpl.newValidationError(SqlValidatorImpl.java:4861)
	at org.apache.calcite.sql.SqlCallBinding.newValidationSignatureError(SqlCallBinding.java:389)
	at org.apache.calcite.sql.type.FamilyOperandTypeChecker.checkSingleOperandType(FamilyOperandTypeChecker.java:106)
	at org.apache.calcite.sql.type.FamilyOperandTypeChecker.checkOperandTypes(FamilyOperandTypeChecker.java:140)
	at org.apache.calcite.sql.type.CompositeOperandTypeChecker.checkOperandTypes(CompositeOperandTypeChecker.java:256)
	at org.apache.calcite.sql.SqlOperator.checkOperandTypes(SqlOperator.java:679)
	at org.apache.calcite.sql.SqlOperator.validateOperands(SqlOperator.java:444)
	at org.apache.calcite.sql.SqlFunction.deriveType(SqlFunction.java:330)
	at org.apache.calcite.sql.SqlFunction.deriveType(SqlFunction.java:226)
	at org.apache.calcite.sql.validate.SqlValidatorImpl$DeriveTypeVisitor.visit(SqlValidatorImpl.java:5710)
	at org.apache.calcite.sql.validate.SqlValidatorImpl$DeriveTypeVisitor.visit(SqlValidatorImpl.java:5697)
	at org.apache.calcite.sql.SqlCall.accept(SqlCall.java:139)
	at org.apache.calcite.sql.validate.SqlValidatorImpl.deriveTypeImpl(SqlValidatorImpl.java:1736)
	at org.apache.calcite.sql.validate.SqlValidatorImpl.deriveType(SqlValidatorImpl.java:1727)
	at org.apache.calcite.sql.validate.SqlValidatorImpl.validateScopedExpression(SqlValidatorImpl.java:956)
	at org.apache.calcite.sql.validate.SqlValidatorImpl.validateParameterizedExpression(SqlValidatorImpl.java:941)
	at org.apache.flink.table.planner.operations.MergeTableLikeUtil$SchemaBuilder.appendDerivedColumns(MergeTableLikeUtil.java:434)
	at org.apache.flink.table.planner.operations.MergeTableLikeUtil$SchemaBuilder.access$000(MergeTableLikeUtil.java:209)
	at org.apache.flink.table.planner.operations.MergeTableLikeUtil.mergeTables(MergeTableLikeUtil.java:150)
	at org.apache.flink.table.planner.operations.SqlCreateTableConverter.createCatalogTable(SqlCreateTableConverter.java:117)
	at org.apache.flink.table.planner.operations.SqlCreateTableConverter.convertCreateTable(SqlCreateTableConverter.java:70)
	at org.apache.flink.table.planner.operations.SqlToOperationConverter.convert(SqlToOperationConverter.java:238)
	at org.apache.flink.table.planner.delegation.ParserImpl.parse(ParserImpl.java:101)
	at org.apache.flink.table.api.internal.TableEnvironmentImpl.executeSql(TableEnvironmentImpl.java:724)

解决办法

对与 13位时间戳要这样

SELECT TO_TIMESTAMP(FROM_UNIXTIME(1513135677000 / 1000, 'yyyy-MM-dd HH:mm:ss'))
SQL Query Result (Table)   2017-12-13T11:27:57

我又测试字符串时间发现 TO_TIMESTAMP可以支持CHARACTER类型表示的datetime数据例如2017-12-13 11:27:57。

SELECT TO_TIMESTAMP('2017-12-13 11:27:57', 'yyyy-MM-dd HH:mm:ss'))
SQL Query Result (Table)   2017-12-13T11:27:57