首页 > 解决方案 > sparklyr下的值匹配

问题描述

我尝试在 sparklyr 下使用值匹配:

spark_parquet %>% filter(customer_id %in% spark_unique_customer_ids)

但是,我收到以下错误:

Error in UseMethod("escape") : no applicable method for 'escape' applied to an object of class "c('tbl_spark', 'tbl_sql', 'tbl_lazy', 'tbl')"

任何建议如何解决这个问题?

标签: rapache-sparkdplyrmatchingsparklyr

解决方案


最好使用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

虽然 SQL API 也应该可以工作:

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

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