CODEWITHSUNDEEP
rapache-sparksparklyr
Prince Modi
Prince Modi

Reputation: 495

Convert Double to Date using Spark in R

I have an R data frame as below

Date @AD.CC_CC @AD.CC_CC.1 @CL.CC_CC @CL.CC_CC.1
2018-02-05      -380        -380     -1580       -1580
2018-02-06        20          20      -280        -280
2018-02-07      -700        -700     -1730       -1730
2018-02-08      -460        -460     -1100       -1100
2018-02-09       260         260     -1780       -1780
2018-02-12       480         480       380         380

I use the copy_to function to copy the dataframe to Spark. After conversion it converts all the rows to double. 

# Source:   lazy query [?? x 5]
# Database: spark_connection
Date AD_CC_CC AD_CC_CC_1 CL_CC_CC CL_CC_CC_1
<dbl>    <dbl>      <dbl>    <dbl>      <dbl>
17567     -380       -380    -1580      -1580
17568       20         20     -280       -280
17569     -700       -700    -1730      -1730
17570     -460       -460    -1100      -1100
17571      260        260    -1780      -1780
17574      480        480      380        380

I am trying to convert it back to Date using the below command but throws an error. 

marketdata_spark %>% mutate(Date = as.Date(Date))
Error: org.apache.spark.sql.AnalysisException: cannot resolve 'CAST(marketdata.`Date` AS DATE)' due to data type mismatch: cannot cast double to date; line 1 pos 59;

Not sure what to do.

Upvotes: 1

Views: 1439

Answers (1)

zero323
zero323

Reputation: 330343

This looks like a sparklyr bug. The simplest workaround is to cast dates to character, before calling copy_to:

df <- tibble::tibble(Date=as.Date(c("2018-02-05", "2018-02-06")))
sdf <- df %>% mutate(Date = as.character(Date)) %>% copy_to(sc, .)

sdf

# Source:   table<sparklyr_11ae23aa677e> [?? x 1]
# Database: spark_connection
  Date      
  <chr>     
1 2018-02-05
2 2018-02-06

and casting it later:

sdf %>% mutate(Date = to_date(Date))

# Source:   lazy query [?? x 1]
# Database: spark_connection
  Date      
  <date>    
1 2018-02-05
2 2018-02-06

You can also try using the numeric value as an offset since beginning of the Unix epoch:

sdf <- df  %>% copy_to(sc, .)

sdf

# Source:   table<sparklyr_13ab19ec6f53> [?? x 1]
# Database: spark_connection
   Date
  <dbl>
1 17567
2 17568

sdf %>% mutate(Date = date_add(to_date("1970-01-01"), Date))

# Source:   lazy query [?? x 1]
# Database: spark_connection
  Date      
 <date>    
1 2018-02-05
2 2018-02-06

Alternatively, you can skip copy_to completely (it has very limited applications anyway, and is seldom useful in production) and use one of built-in input formats (spark_read_*).

Upvotes: 4

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