argparse
is the best library to use to parse command-line arguments in Python. It is included in Python standard libaries (which menas that you can use it out of the box).It is suggestedd that you always log a parsed Namespace object so that you can check whether it is as expected.
Special Characters to Avoid in Strings
This articles talks about special characters to avoid in various places. You might not encounter issues most of the time when violating rules stated below, however, you never know when things will break. It is more for a good-practice suggestion.
String for Shell
- When you pass parameters from one program …
Sample Rows from a Spark DataFrame
Tips and Traps¶
TABLESAMPLE
must be immedidately after a table name.The
WHERE
clause in the following SQL query runs afterTABLESAMPLE
.SELECT * FROM table_name TABLESAMPLE (10 PERCENT) WHERE id = 1
If you want to run a
WHERE
Union RDDs in Spark
No deduplication is done (to be efficient) when unioning RDDs/DataFrames in Spark 2.1.0+.
-
Union 2 RDDs.
df1.union(df2) // or for old-fashioned RDD rdd1.union(rdd_2)
-
Union multiple RDDs.
df = spark.union([df1, df2, df3]) // spark is a SparkSession object // or for old-fashioned RDD rdd …
Union DataFrames in Spark
Comment¶
union
relies on column order rather than column names. This is the same as in SQL. For columns that the type don't match, the super type is used. However, this is really dangerous if you are careful. It is suggested that you define a function call unionByName to hanle this.
Comparing Similarity of Two Different Clusterings
The paper Comparing Clusterings - An Overview has a good view of different metrics for comparing the similarity of 2 clusterings. Overall, Normalized Mutual Information sounds like a good one. It is implemented in sklearn as sklearn.metrics.normalized_mutual_info_score . Of course, there are many more metrics for measuring similarity of 2 …