我已经在列表中提取了twitter数据,并将其转换为data.frame,并安装了必要的基本软件包。
我使用以下代码从Twitter中提取数据:
library(twitteR)
setup_twitter_oauth("consumer-key", "consumer-secret",
"access-token", "access-secret")
search.string <- "#Karnataka"
no.of.tweets <- 10
tweets <- searchTwitter(search.string, n=no.of.tweets, lang="en")
tweet_df <- twListToDF(tweets)
我想将data.frame tweet_df
加载到我的架构中的HANA数据库中的表。有人可以帮我这个吗?
答案 0 :(得分:0)
这是实现此目的的一种方法
CAST
写入csv文件并导入HANA
CEIL
答案 1 :(得分:0)
通常,我建议将数据保存在SAP HANA中并从那里对其进行操作,但您当然也可以&#34;保存&#34; R数据帧。
这是一个简单的例子:
# load the ODBC driver
library("RODBC")
# open a ODBC "channel" - since I use the SAP HANA secure storage all I have to
# specify here is the name of the DSN entry.
ch<-odbcConnect("S12"
# this is just the string for the name of the table the data will be inserted into
table.for.save <- 'AIRQUALITY'
# get the data frame for the AIRQUALITY sample data
aqdata <- airquality
# that's a data frame
str(aqdata)
# now "save" the data frame to SAP HANA via sqlSave
sqlSave(ch,dat = aqdata, tablename = table.for.save, verbose = TRUE, rownames = FALSE)
> sqlSave(ch,dat = aqdata, tablename = table.for.save, verbose = TRUE, rownames = FALSE)
Query: CREATE TABLE "AIRQUALITY" ("Ozone" INTEGER, "SolarR" INTEGER, "Wind" DOUBLE, "Temp" INTEGER, "Month" INTEGER, "Day" INTEGER)
Query: INSERT INTO "AIRQUALITY" ( "Ozone", "SolarR", "Wind", "Temp", "Month", "Day" ) VALUES ( ?,?,?,?,?,? )
Binding: 'Ozone' DataType 4, ColSize 10
Binding: 'SolarR' DataType 4, ColSize 10
Binding: 'Wind' DataType 8, ColSize 15
Binding: 'Temp' DataType 4, ColSize 10
Binding: 'Month' DataType 4, ColSize 10
Binding: 'Day' DataType 4, ColSize 10
Parameters:
no: 1: Ozone 41/***/no: 2: SolarR 190/***/no: 3: Wind 7.4/***/no: 4: Temp 67/***/no: 5: Month 5/***/no: 6: Day 1/***/
no: 1: Ozone 36/***/no: 2: SolarR 118/***/no: 3: Wind 8/***/no: 4: Temp 72/***/no: 5: Month 5/***/no: 6: Day 2/***/
no: 1: Ozone 12/***/no: 2: SolarR 149/***/no: 3: Wind 12.6/***/no: 4: Temp 74/***/no: 5: Month 5/***/no: 6: Day 3/***/
...
在SAP HANA中,您现在可以从表中SELECT
:
select top 10 * from "DEVDUDE"."AIRQUALITY";
Ozone SolarR Wind Temp Month Day
41 190 7.4 67 5 1
36 118 8.0 72 5 2
12 149 12.6 74 5 3
18 313 11.5 62 5 4
? ? 14.3 56 5 5
28 ? 14.9 66 5 6
23 299 8.6 65 5 7
19 99 13.8 59 5 8
8 19 20.1 61 5 9
? 194 8.6 69 5 10
由于这是标准的R
和ODBC
,并非特定于SAP HANA,因此我建议您阅读这些技术。