Description Usage Arguments See Also Examples
Loop a query for a set of one or more values in a table across all the existing fields or optionally, a subset of the fields. Both the values and the table fields are ensured compatibility by 1. Converting each value in the values
argument to the character class and 2. Casting each table field as varchar in the query.
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conn |
Connection object |
schema |
The target schema for the operation. |
table |
Target table for the operation. |
... |
(Optional) Character strings of 1 or more fields in the table to search in. |
values |
Vector of length 1 or greater to search for. |
case_insensitive |
If TRUE, both sides of the query are converted to lowercase. |
verbose |
If TRUE, details on the activity are returned in the console, such as when the querying starting and was completed. |
render_sql |
If TRUE, the SQL statement for the operation is returned in the console. |
Other table functions:
appendTable()
,
append_table()
,
create_table_from_df()
,
create_table()
,
drop_all_staging_tables()
,
drop_table_batch()
,
drop_table()
,
read_table()
,
searchTable()
,
write_staging_table()
,
write_table()
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | library(pg13)
create_test_schema <-
function(conn) {
if (!schema_exists(conn = conn,
schema = "test_schema")) {
create_schema(conn = conn,
schema = "test_schema")
}
}
conn <- local_connect(dbname = "pg13_test")
create_test_schema(conn = conn)
# Write a table without dropping
write_table(conn = conn,
schema = "test_schema",
table_name = "test_table2",
drop_existing = FALSE,
data = data.frame(A = 1:3, B = letters[1:3]))
# Write a table with dropping
write_table(conn = conn,
schema = "test_schema",
table_name = "test_table",
drop_existing = TRUE,
data = data.frame(A = 1:3, B = letters[1:3]))
# Include the name of the dataframe object in the messages
test_data <-
data.frame(A = 1:3, B = letters[1:3])
write_table(conn = conn,
schema = "test_schema",
table_name = "test_table3",
drop_existing = TRUE,
data = test_data)
# Append a table
append_table(conn = conn,
schema = "test_schema",
table = "test_table",
data = data.frame(A = 1:3, B = letters[1:3]))
# Warning is returned if NAs are in the input data
append_table(conn = conn,
schema = "test_schema",
table = "test_table",
data = data.frame(A = 1:3, B = rep(NA_character_, 3)))
# Alert is returned if the input data contains 0 rows
test_data2 <-
data.frame(A = 1,
B = 2)
test_data2 <- test_data2[-1,]
append_table(conn = conn,
schema = "test_schema",
table = "test_table",
data = test_data2)
# Message is returned if incoming data contains more than 0 rows
test_data <- read_table(conn = conn,
schema = "test_schema",
table = "test_table")
test_data
# Alert is returned if incoming data contains 0 rows
write_table(conn = conn,
schema = "test_schema",
table_name = "test_table4",
drop_existing = TRUE,
data = test_data2)
test_data <- read_table(conn = conn,
schema = "test_schema",
table = "test_table4")
test_data
search_table(conn = conn,
schema = "test_schema",
table = "test_table",
values = 1:3)
search_table(conn = conn,
schema = "test_schema",
table = "test_table",
values = "a")
search_table(conn = conn,
schema = "test_schema",
table = "test_table",
values = c("A", "b", "C"),
case_insensitive = FALSE)
drop_table(conn = conn,
schema = "test_schema",
table = "test_table",
if_exists = FALSE)
drop_table(conn = conn,
schema = "test_schema",
table = "test_table2",
if_exists = FALSE)
drop_schema(conn = conn,
schema = "test_schema",
cascade = TRUE)
dc(conn = conn)
|
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