DTStack / DTStack/flinkStreamSQL
FlinkStreamSQL的insert时不支持union all函数
- 主要語言
- Java
- 星號
- 2k
- 分支
- 913
- PR 合併指標
- 30 天內沒有已合併 PR
描述
insert into MyResult
select
r1.actionNum as actionNum,
r1.IMEI as IMEI,
r1.IMEIList as IMEIList,
r1.IMEIStatus as IMEIStatus,
r1.belongWarehouseId as belongWarehouseId,
r1.belongCustomerId as belongCustomerId,
r1.brand as brand,
r1.product as product,
r1.marketing_name as marketing_name,
r1.belongCustomer as belongCustomer,
r1.belongWarehouse as belongWarehouse
from
(
(
select
'0' as actionNum,
wcs.imei as IMEI,
wcs.imei_list as IMEIList,
'Available' as IMEIStatus,
wcs.warehouse_id as belongWarehouseId,
cw.enterprise_id as belongCustomerId,
sm.brand as brand,
concat(trim(sm.marketing_name), ' ', trim(sm.rom_ram), ' ', trim(sm.color)) as product,
sm.marketing_name as marketName,
'' as belongCustomer,
'' as belongWarehouse
from
t_channel_warehouse_current_stock as wcs
left join t_channel_warehouse as cw on wcs.warehouse_id=cw.id
left join t_enter_sap_mat as sm on wcs.material_id =sm.matnr
where
wcs.source_type in ('6')
and wcs.type in ('INSERT')
)
union all
(
select
'1' as actionNum,
wcs.imei as IMEI,
wcs.imei_list as IMEIList,
'Available' as IMEIStatus,
wcs.warehouse_id as belongWarehouseId,
cw.enterprise_id as belongCustomerId,
sm.brand as brand,
concat(trim(sm.marketing_name), ' ', trim(sm.rom_ram), ' ', trim(sm.color)) as product,
sm.marketing_name as marketName,
sm.rom_ram as rom_ram,
sm.color as color,
'' as belongCustomer,
'' as belongWarehouse
from
t_channel_warehouse_current_stock as wcs
left join t_channel_warehouse as cw on wcs.warehouse_id=cw.id
left join t_enter_sap_mat as sm on wcs.material_id =sm.matnr
where
wcs.source_type in ('6')
and wcs.status in ('1')
and wcs.type in ('UPDATE')
)
) r1
报错:
Exception in thread "main" org.apache.flink.table.api.ValidationException: Temporary table `default_catalog`.`default_database`.`t_channel_warehouse_current_stock_t_channel_warehouse_0` already exists
at org.apache.flink.table.catalog.CatalogManager.lambda$createTemporaryTable$10(CatalogManager.java:472)
at java.util.HashMap.compute(HashMap.java:1197)
at org.apache.flink.table.catalog.CatalogManager.createTemporaryTable(CatalogManager.java:470)
at org.apache.flink.table.api.internal.TableEnvironmentImpl.createTemporaryView(TableEnvironmentImpl.java:282)
at org.apache.flink.table.api.internal.TableEnvironmentImpl.createTemporaryView(TableEnvironmentImpl.java:269)
at com.dtstack.flink.sql.side.SideSqlExec.joinFun(SideSqlExec.java:554)
at com.dtstack.flink.sql.side.SideSqlExec.exec(SideSqlExec.java:175)
at com.dtstack.flink.sql.exec.ExecuteProcessHelper.sqlTranslation(ExecuteProcessHelper.java:232)
at com.dtstack.flink.sql.exec.ExecuteProcessHelper.getStreamExecution(ExecuteProcessHelper.java:170)
at com.dtstack.flink.sql.Main.main(Main.java:41)
at com.dtstack.flink.sql.launcher.LauncherMain.main(LauncherMain.java:140)
貢獻指南
這個儲存庫沒有索引到貢獻指南
研究方向
從 SideSqlExec.java 開始,尤其關注 joinFun,然後跟進堆疊追蹤中顯示的、來自 ExecuteProcessHelper.java 的呼叫。使用其 UNION ALL 重現所提供的 INSERT 查詢,並檢查臨時檢視名稱為何會被建立多次;當查詢不再因重複臨時表驗證錯誤而失敗時,即表示完成。
由索引模型根據 Issue 內容生成。
評估
- 技術堆疊
- java, sql
- 領域
- data-engineering, stream-processing
- Issue 類型
- 缺陷
- 難度
- 4/5
- 預估耗時
- 3-5 天
- 活躍度
- 停滯
- 描述清晰度
- 基本清楚
- 新手友好度
- 25/100