Nothing
Code
glimpse(tab)
Output
Table
10 rows x 7 columns
$ int <int32> 1, 2, 3, NA, 5, 6, 7, 8, 9, 10
$ dbl <double> 1.1, 2.1, 3.1, 4.1, 5.1, 6.1, 7.1, 8.1, NA, 10.1
$ dbl2 <double> 5, 5, 5, 5, 5, 5, 5, 5, 5, 5
$ lgl <bool> TRUE, NA, TRUE, FALSE, TRUE, NA, NA, FALSE, FALSE, NA
$ false <bool> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, ~
$ chr <string> "a", "b", "c", "d", "e", NA, "g", "h", "i", "j"
$ fct <dictionary<...>> a, b, c, d, NA, NA, g, h, i, j
Call `print()` for full schema details
Code
glimpse(tab$chr)
Output
<string> [ [ "a", "b", "c", "d", "e", null, "g", "h", "i", "j" ] ]
Code
glimpse(batch)
Output
RecordBatch
10 rows x 7 columns
$ int <int32> 1, 2, 3, NA, 5, 6, 7, 8, 9, 10
$ dbl <double> 1.1, 2.1, 3.1, 4.1, 5.1, 6.1, 7.1, 8.1, NA, 10.1
$ dbl2 <double> 5, 5, 5, 5, 5, 5, 5, 5, 5, 5
$ lgl <bool> TRUE, NA, TRUE, FALSE, TRUE, NA, NA, FALSE, FALSE, NA
$ false <bool> FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, FALSE, ~
$ chr <string> "a", "b", "c", "d", "e", NA, "g", "h", "i", "j"
$ fct <dictionary<...>> a, b, c, d, NA, NA, g, h, i, j
Call `print()` for full schema details
Code
glimpse(batch$int)
Output
<int32> [ 1, 2, 3, null, 5, 6, 7, 8, 9, 10 ]
Code
glimpse(haven)
Output
Table
2 rows x 3 columns
$ num <double> 5.1, 4.9
$ cat_int <ext<hvn_lbll>> 3, 1
$ cat_chr <ext<hvn_lbll>> Can't convert `x` <haven_labelled> to <character>.
Call `print()` for full schema details
Code
glimpse(haven[[3]])
Output
<<haven_labelled[0]>> [ [ "B", "B" ] ]
Code
glimpse(dictionary_but_no_metadata)
Output
Table
5 rows x 2 columns
$ a <int32> 1, 2, 3, 4, 5
$ b <dictionary<...>> 1, 2, 3, 4, 5
Call `print()` for full schema details
Code
glimpse(Table$create(a = 1))
Output
Table
1 rows x 1 columns
$ a <double> 1
Code
example_data %>% as_record_batch_reader() %>% glimpse()
Message
Cannot glimpse() data from a RecordBatchReader because it can only be read one time; call `as_arrow_table()` to consume it first.
Output
RecordBatchReader
int: int32
dbl: double
dbl2: double
lgl: bool
false: bool
chr: string
fct: dictionary<values=string, indices=int8>
Code
example_data %>% as_record_batch_reader() %>% select(int) %>% glimpse()
Message
Cannot glimpse() data from a RecordBatchReader because it can only be read one time. Call `compute()` to evaluate the query first.
Output
RecordBatchReader (query)
int: int32
See $.data for the source Arrow object
Code
glimpse(ds)
Output
FileSystemDataset with 2 Parquet files
20 rows x 7 columns
$ int <int32> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 101, 102, 103, 104, ~
$ dbl <double> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 51, 52, 53, 54, 55, ~
$ lgl <bool> TRUE, FALSE, NA, TRUE, FALSE, TRUE, FALSE, NA, TRUE~
$ chr <string> "a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "~
$ fct <dictionary<...>> A, B, C, D, E, F, G, H, I, J, J, I, H, G, F, E, D, ~
$ ts <timestamp[us, tz=UTC]> 2015-04-30 03:12:39, 2015-05-01 03:12:39, 2015-05-0~
$ group <int32> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, ~
Call `print()` for full schema details
Code
ds %>% summarize(max(int)) %>% glimpse()
Message
This query requires a full table scan, so glimpse() may be expensive. Call `compute()` to evaluate the query first.
Output
FileSystemDataset (query)
max(int): int32
See $.data for the source Arrow object
Code
example_data %>% arrow_table() %>% summarize(sum(int, na.rm = TRUE)) %>%
glimpse()
Output
Table (query)
?? rows x 1 columns
$ `sum(int, na.rm = TRUE)` <int64> 51
Call `print()` for query details
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