Value matching under sparklyr
1
I tried value matching under sparklyr using:
spark_parquet %>% filter(customer_id %in% spark_unique_customer_ids)
However, I received the following error:
Error in UseMethod("escape") : no applicable method for 'escape' applied to an object of class "c('tbl_spark', 'tbl_sql', 'tbl_lazy', 'tbl')"
Any suggestions how to tackle this?
r apache-spark dplyr matching sparklyr
edited Nov 14 '18 at 18:41
user6910411
34.1k1079101
asked Nov 14 '18 at 14:33
quantmarketingquantmarketing
124
add a comment |
1
I tried value matching under sparklyr using:
spark_parquet %>% filter(customer_id %in% spark_unique_customer_ids)
However, I received the following error:
Error in UseMethod("escape") : no applicable method for 'escape' applied to an object of class "c('tbl_spark', 'tbl_sql', 'tbl_lazy', 'tbl')"
Any suggestions how to tackle this?
r apache-spark dplyr matching sparklyr
edited Nov 14 '18 at 18:41
user6910411
34.1k1079101
asked Nov 14 '18 at 14:33
quantmarketingquantmarketing
124
add a comment |
1
1
1
I tried value matching under sparklyr using:
spark_parquet %>% filter(customer_id %in% spark_unique_customer_ids)
However, I received the following error:
Error in UseMethod("escape") : no applicable method for 'escape' applied to an object of class "c('tbl_spark', 'tbl_sql', 'tbl_lazy', 'tbl')"
Any suggestions how to tackle this?
r apache-spark dplyr matching sparklyr
edited Nov 14 '18 at 18:41
user6910411
34.1k1079101
asked Nov 14 '18 at 14:33
quantmarketingquantmarketing
124
I tried value matching under sparklyr using:
spark_parquet %>% filter(customer_id %in% spark_unique_customer_ids)
However, I received the following error:
Error in UseMethod("escape") : no applicable method for 'escape' applied to an object of class "c('tbl_spark', 'tbl_sql', 'tbl_lazy', 'tbl')"
Any suggestions how to tackle this?
r apache-spark dplyr matching sparklyr
r apache-spark dplyr matching sparklyr
edited Nov 14 '18 at 18:41
user6910411
34.1k1079101
asked Nov 14 '18 at 14:33
quantmarketingquantmarketing
124
edited Nov 14 '18 at 18:41
user6910411
34.1k1079101
asked Nov 14 '18 at 14:33
quantmarketingquantmarketing
124
edited Nov 14 '18 at 18:41
user6910411
34.1k1079101
edited Nov 14 '18 at 18:41
user6910411
34.1k1079101
edited Nov 14 '18 at 18:41
user6910411
34.1k1079101
34.1k1079101
asked Nov 14 '18 at 14:33
quantmarketingquantmarketing
124
asked Nov 14 '18 at 14:33
quantmarketingquantmarketing
124
asked Nov 14 '18 at 14:33
quantmarketingquantmarketing
124
124
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
1
It is best to use semi_join:
spark_parquet <- copy_to(
sc,
tibble(customer_id = c(1, 2, 3), value = c(-1, 0, 1))
)
spark_unique_customer_ids <- copy_to(sc, tibble(customer_id = c(1, 3)))
spark_parquet %>% semi_join(spark_unique_customer_ids, by = "customer_id")
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
although SQL API should work as well:
spark_parquet %>% sdf_register("spark_parquet")
spark_unique_customer_ids %>% sdf_register("spark_unique_customer_ids")
sc %>% spark_session() %>%
invoke(
"sql",
"SELECT * FROM spark_parquet
WHERE customer_id IN (
SELECT customer_id FROM spark_unique_customer_ids)") %>%
sdf_register()
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
answered Nov 14 '18 at 18:36
user6910411user6910411
34.1k1079101
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
1
It is best to use semi_join:
spark_parquet <- copy_to(
sc,
tibble(customer_id = c(1, 2, 3), value = c(-1, 0, 1))
)
spark_unique_customer_ids <- copy_to(sc, tibble(customer_id = c(1, 3)))
spark_parquet %>% semi_join(spark_unique_customer_ids, by = "customer_id")
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
although SQL API should work as well:
spark_parquet %>% sdf_register("spark_parquet")
spark_unique_customer_ids %>% sdf_register("spark_unique_customer_ids")
sc %>% spark_session() %>%
invoke(
"sql",
"SELECT * FROM spark_parquet
WHERE customer_id IN (
SELECT customer_id FROM spark_unique_customer_ids)") %>%
sdf_register()
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
answered Nov 14 '18 at 18:36
user6910411user6910411
34.1k1079101
add a comment |
1
It is best to use semi_join:
spark_parquet <- copy_to(
sc,
tibble(customer_id = c(1, 2, 3), value = c(-1, 0, 1))
)
spark_unique_customer_ids <- copy_to(sc, tibble(customer_id = c(1, 3)))
spark_parquet %>% semi_join(spark_unique_customer_ids, by = "customer_id")
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
although SQL API should work as well:
spark_parquet %>% sdf_register("spark_parquet")
spark_unique_customer_ids %>% sdf_register("spark_unique_customer_ids")
sc %>% spark_session() %>%
invoke(
"sql",
"SELECT * FROM spark_parquet
WHERE customer_id IN (
SELECT customer_id FROM spark_unique_customer_ids)") %>%
sdf_register()
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
answered Nov 14 '18 at 18:36
user6910411user6910411
34.1k1079101
add a comment |
1
1
1
It is best to use semi_join:
spark_parquet <- copy_to(
sc,
tibble(customer_id = c(1, 2, 3), value = c(-1, 0, 1))
)
spark_unique_customer_ids <- copy_to(sc, tibble(customer_id = c(1, 3)))
spark_parquet %>% semi_join(spark_unique_customer_ids, by = "customer_id")
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
although SQL API should work as well:
spark_parquet %>% sdf_register("spark_parquet")
spark_unique_customer_ids %>% sdf_register("spark_unique_customer_ids")
sc %>% spark_session() %>%
invoke(
"sql",
"SELECT * FROM spark_parquet
WHERE customer_id IN (
SELECT customer_id FROM spark_unique_customer_ids)") %>%
sdf_register()
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
answered Nov 14 '18 at 18:36
user6910411user6910411
34.1k1079101
It is best to use semi_join:
spark_parquet <- copy_to(
sc,
tibble(customer_id = c(1, 2, 3), value = c(-1, 0, 1))
)
spark_unique_customer_ids <- copy_to(sc, tibble(customer_id = c(1, 3)))
spark_parquet %>% semi_join(spark_unique_customer_ids, by = "customer_id")
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
although SQL API should work as well:
spark_parquet %>% sdf_register("spark_parquet")
spark_unique_customer_ids %>% sdf_register("spark_unique_customer_ids")
sc %>% spark_session() %>%
invoke(
"sql",
"SELECT * FROM spark_parquet
WHERE customer_id IN (
SELECT customer_id FROM spark_unique_customer_ids)") %>%
sdf_register()
# Source: spark<?> [?? x 2]
customer_id value
* <dbl> <dbl>
1 1 -1
2 3 1
answered Nov 14 '18 at 18:36
user6910411user6910411
34.1k1079101
answered Nov 14 '18 at 18:36
user6910411user6910411
34.1k1079101
answered Nov 14 '18 at 18:36
user6910411user6910411
34.1k1079101
answered Nov 14 '18 at 18:36
user6910411user6910411
34.1k1079101
34.1k1079101
add a comment |
add a comment |
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