table.express | Use dplyr verbs to build data.table expressions | Data Visualization library
kandi X-RAY | table.express Summary
kandi X-RAY | table.express Summary
Use dplyr verbs to build data.table expressions
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table.express Key Features
table.express Examples and Code Snippets
# the expression is what matters here, input is left empty
data.table() %>%
start_expr %>%
select(col) %>%
where(var == val) %>%
order_by(v)
#> .DT_[var == val, list(col)][order(v)]
Community Discussions
Trending Discussions on table.express
QUESTION
I'm experimenting with Apache Flink for a project. I'm using Flink to aggregate environment data captured by a series of sensors. In order to calculate an air quality index I'm trying to implement a custom aggregate function to use in the grouped select with a window, but I have a problem with type hint. Here's the function code with the DataTypeHint annotation:
...ANSWER
Answered 2021-Sep-29 at 16:46The string version of a data type hint only works with SQL types. For POJOs and other classes, you can use @DataTypeHint(bridgedTo = AQIAccumulator.class)
.
Alternatively, you can simply override getTypeInference
and provide all components programmatically.
But for your example Flink should be smart enough to derive all types automatically using reflection. No hints required.
QUESTION
I'm trying to call an outer function through custom UDAF in PyFlink
. The function I use requires the data to be in a dictionary object. I tried to use row(t.rowtime, t.b, t.c).cast(schema)
to achieve such effect.
Outside the UDAF, this expression works well. Inside the UDAF, this expression is translated to InternalRow
which cannot be converted into a dictionary object.
Is there a way to force UDAF to use Row
instead of InternalRow
?
ANSWER
Answered 2021-Jun-23 at 11:11Thanks for reporting the issue. It is a bug. I have created a JIRA https://issues.apache.org/jira/browse/FLINK-23121 to fix it. It will be fixed in the release 1.13.2
QUESTION
I am running below PyFlink program (copied from https://ci.apache.org/projects/flink/flink-docs-release-1.12/dev/python/table_api_tutorial.html)
...ANSWER
Answered 2021-Mar-16 at 02:07The problem is that the legacy DataSet you are using does not support the FileSystem connector you declared. You can use blink Planner to achieve your needs.
QUESTION
I want to use Flink to read from an input file, do some aggregation, and write the result to an output file. The job is in batch mode. See wordcount.py
below:
ANSWER
Answered 2021-Mar-15 at 09:26The first time you ran it without having specified the parallelism, and so you got the default parallelism -- which is greater than 1 (probably 4 or 8, depending on how many cores your computer has).
Flink is designed to be scalable, and to achieve that, parallel instances of an operator, such as a sink, are decoupled from one another. Imagine, for example, a large cluster with 100s or 1000s of nodes. For this to work well, each instance needs to write to its own file.
The commas were changed to tabs because you specified .field_delimiter('\t')
.
QUESTION
I have following simple code that performs processing time based tumble window, with table api, but an exception throws when I run it. I have no idea about what it is talking about, could someone help take a look?Thanks!
The Stock case class is defined as follows:
case class Stock(id: String, trade_date: Timestamp, price: Double)
The application code is:
...ANSWER
Answered 2021-Jan-08 at 18:15The error message is really not clear, although what's going on is a clash between the java syntax and the scala syntax for the tumbling window expression.
This is the java syntax for a tumbling window, and doesn't seem to be accepted by the scala API:
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