Upload documents from Amazon s3 to CloudSearch using AWS Java SDK -

-

how upload document amazon s3 cloud search using aws java sdk , make indexable well?

i not found direct way within sdk index document s3 cloud search. use this.

enter image description here


Comments

Post a Comment

Popular posts from this blog

Prolog - Listing -

-
i have problem trying work out code here. let's have these codes: university('university of cambridge', 1, 'united kingdom', 90.3, 92.8, 89.4), university('university of oxford', 2, 'united kingdom', 88.9, 94.8, 88.0). how list out names of universities only? tried doing listing. , listing(university). list out or rules. trying names like: university of cambridge university of oxford this gives 1 name: ?: university(x,_,_,_,_). you can query more ; or space to print of them, use fail driven loop: ?: university(x,_,_,_,_), write(x), nl, fail; true.
Read more

python - More Issues with overlapping labels in Tkinter -

-
i having problem tkinter. issue follows. i retrieve information database. wish print out based off few user selections. want print out columns a, b, c want print out columns, a, b, c, d want print out columns a, b, d, e also, when query, not know ahead of time how many results have. queries give 1. give 200. print them, this... while x < results.num_rows() : result = results.fetch_row() author = result[0][0] title = result[0][1] conference = result[0][2] year = result[0][3] location = result[0][4] label(root, text=title).grid(row=startrow,column=0,columnspan=5,sticky=w) label(root,text=author).grid(row=startrow,column=6,columnspan=1,sticky=w) label(root,text=year).grid(row=startrow,column=7,columnspan=1,sticky=w) label(root,text=conference).grid(row=startrow,column=8,columnspan=1,sticky=w) ...
Read more

linear regression - Trying to get confidence/prediction intervals with `predict.lm` in R, but I keep getting an error regarding my dichotomous variable -

-
i have dataset looks this: time size type 1 22 151 0 2 31 92 0 3 26 175 0 4 35 31 0 5 27 104 0 6 5 277 0 7 17 210 0 8 24 120 0 9 9 290 0 10 21 238 0 11 33 164 1 12 20 272 1 13 16 295 1 14 43 68 1 15 36 85 1 16 26 224 1 17 25 166 1 18 18 305 1 19 35 124 1 20 19 246 1 my aim simple: run regression , confidence/prediction intervals. i run regression so: fit.lm1<-lm(time~size+type,data=project3) i want 95% confidence intervals , 95% prediction intervals mean time when size equal 200. want cis/pis type = 0 , type = 1. code is: new_val <- data.frame(size= c(200,200),type=c(1,0)) ci<-predict(fit.lm1,newdata=new_val,interval="confidence") pi<-predict(fit.lm1,newdata=new_val,interval="prediction") i following errors: error: variable 'type' fitted type "factor" type "numeric"...
Read more