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Hi,
I am trying to run sample code:
```
from ts.flint import FlintContext
from ts.flint import summarizers
from ts.flint import TimeSeriesDataFrame
from pyspark.sql.functions import from_utc_ti…
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Hi,
I am using Spark 3.0, perhaps this is the cause of the following error:
`val tsRDD = TimeSeriesRDD.fromDF(dataFrame = dffg_ts)(isSorted = true, timeUnit = MILLISECONDS)
java.lang.NoSuchMe…
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# Error
```
# Step 2: specify how the Spark dataframe should be interpreted as a time series by Flint
ts_rdd
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Hi - I am getting the following error when trying to run the Python example:
```
Traceback (most recent call last):
File "", line 1, in
File "/Users/__/flint-master/python/ts/flint/dataframe.…
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Two joint dfs should be grouped by a third (clock) df.
But Error is thrown:
```java.lang.NoClassDefFoundError: Could not initialize class com.twosigma.flint.rdd.function.group.Intervalize$```
```…
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Hi n00b question: given how awesome and popular Flint has been, I'm really interested in making it work with Spark 3.0.
So I went ahead and tried the changes in https://github.com/twosigma/flint/pu…
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Whenever I try to use Flint here locally (no Hadoop/EMR involved), it keep barfing at me with the above error message in the subject. It's a setup on top of Python 3.7 with PySpark 2.4.4 and OpenJDK 8…
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Does this library currently work with spark 2.4?
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@icexelloss
(even though the "timeColumn" argument error can be bypassed by renaming the column in question to `time`) the `joinLeft` is not working for me:
```
print( sc.version )
print( tm )
…
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I can able to convert spark df to flint df and apply the summarizeWindows function also working.
After applying any flint function , I can't able to access the df (like i can't convert back to spark …