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我不能夠正確地加入,並得到結果列,需要加入星火內部聯接,並得到MIN()
SELECT
t.ad,
t.DId,
t.BY,
t.BM,
t.cid,
MIN(p.PS) AS PS
FROM
Tempity t inner join ples p
on t.cid = p.cid
and p.PType = t.TeO
AND p.pto = 'cccc'
AND p.cid = 2
GROUP BY t.aid
,t.DId
,t.BYear
,t.BM
,t.cid;
I am converting above sql query as
val RS = Tempity.join(DF_LES,Tempity("cid") <=> DF_PLES("cid")&& DF_PLES("clientid") <=> 2 && Tempity("TO") <=> DF_LES("PType") && DF_LES("pto") <=> "cccc" ,"inner").select("aid","DId","BM","BY","TO","cid").groupBy(aid","DId","BM","BY")select("aid","DId","BM","BY","TO","cid").show
不能找到出去之後獲得列的MIN(),我做錯了 錯誤
org.apache.spark.sql.AnalysisException: Reference 'cid' is ambiguous, could be: cid#4058, cid#13063L.;
':49:錯誤:價值選擇是不是org.apache.spark.sql.RelationalGroupedDataset' –
Anji
成員哪一個拋出的錯誤? 。請檢查多行字符串中刪除的額外報價。 – mrsrinivas
誤差是被拋出'VAL RS = Tempity.join(DF_LES, Tempity( 「CID」)<=> DF_PLES( 「CID」)&& DF_PLES( 「客戶端ID」)<=> 2 && Tempity( 「TO」)<=> DF_PLES (「ptype」)&& DF_PLES(「pto」)<=>「cccc」, 「inner」 ) .groupBy(「a id」,「DId」,「BM」,「BY」,Tempity(「cid 「)) .agg(min(DF_PLES(」PS「))) '我想在DF上執行操作而不是使用sql(」「) – Anji