Created partitioned table with below schema CREATE TABLE Landing.TargetTable ( Id INT, Name STRING, SourceSystem INT, SourceId INT, ETLId INT ) USING DELTA PARTITIONED BY (SourceId); Two source tables are there from where data are…
範例(非 Delta Lake 數據表)SQL 複製 -- create a partitioned table from existing data /tmp/namesAndAges.parquet > CREATE TABLE t1 (name STRING, age INT) USING parquet PARTITIONED BY (age) LOCATION "/tmp/namesAndAges.parquet"; -- SELECT * FROM t1 does not return results > SELECT * ...
用户可以使用标准的CREATE TABLE命令来创建存储在delta lake中的表,除了标准的创建delta table的命令之外,还可以使用以下的语法来创建delta表: CREATE[OR REPLACE]TABLEtable_identifier[(col_name1 col_type1 [NOT NULL], ...)] USING DELTA[LOCATION <path-to-delta-files>] table_identifier 有两种格式: [dat...
Delta Lake 會自動產生數據分割篩選,如此一來,即使未指定數據分割篩選,上述查詢仍只會讀取數據分割中的數據date=2020-10-01。 另一個範例,如下表所示: SQL複製 CREATETABLEevents( eventIdBIGINT,dataSTRING, eventTypeSTRING, eventTimeTIMESTAMP,yearINTGENERATEDALWAYSAS(YEAR(eventTime)),monthINTGENERATEDALWAYSAS(...
CREATE TABLE [ IF NOT EXISTS ] [db_name].table_name [ ( col_name1 col_type1, ... ) ] USING data_source [ OPTIONS ( key1=val1, key2=val2, ... ) ] [ PARTITIONED BY ( col_name1, col_name2, ... ) ] [ CLUSTERED BY ( col_name3, col_name4, ... ) ...
-- create a partitioned table and insert a few rows.>USEsalesdb; >CREATETABLEcustomer(idINT,nameSTRING) PARTITIONEDBY(stateSTRING, citySTRING); >INSERTINTOcustomerPARTITION(state ='CA', city ='Fremont')VALUES(100,'John'); >INSERTINTOcustomerPARTITION(state ='CA', city ='San Jose')VALUES...
%sql CREATE TABLE apache_logs( ipaddr STRING,identity STRING,username STRING,accesstime STRING,request STRING,status STRING,size STRING,referrer STRING,agent STRING,year string,month string,day string ) using delta PARTITIONED BY(year,month,day ) ...
from delta.tables import * deltaTable = DeltaTable.forPath(spark,pathToTable) fullHistoryDF = deltaTable.history() # get the full history of the table lastOperationDF = deltaTable.history(1) # get the last operation Scala %spark import io.delta.tables._ ...
create a table 代码语言:javascript 复制 df.write.format("delta").save("/delta/events") Partition data 代码语言:javascript 复制 df.write.format("delta").partitionBy("date").save("/delta/events") Read a table 代码语言:javascript 复制
%sql CREATE TABLE events ( date DATE,eventId STRING,eventType STRING,data STRING) USING delta PARTITIONED BY (date) 修改表格 Delta Lake支持一组丰富的操作来修改表。 对流写入表 您可以使用结构化流式处理将数据写入Delta表。即使有其他流或批查询同时运行表,Delta Lake事务日志也可以保证一次性处理。默认...