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names of valid snowflake tables, which we will process into Snowpark dataframes. -SnowflakeCompare Object Setup ---------------------------------------------------- +SnowflakeCompare setup +---------------------- + There are two ways to specify input dataframes for ``SnowflakeCompare`` Provide Snowpark dataframes @@ -66,11 +67,12 @@ Provide Snowpark dataframes print(compare.report()) -Provide the full name (``{db}.{schema}.{table_name}``) of valid Snowflake tables -^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ +Provide the full name (``db.schema.table_name``) of valid Snowflake tables +^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ Given the dataframes from the prior examples... .. code-block:: python + df_1.write.mode("overwrite").save_as_table("toy_table_1") df_2.write.mode("overwrite").save_as_table("toy_table_2") @@ -210,6 +212,7 @@ There are a few convenience methods and attributes available after the compariso print(compare.df2_unq_columns()) # OrderedSet() + Duplicate rows -------------- @@ -260,9 +263,10 @@ as uniquely in the second. Additional considerations ------------------------- -- It is strongly recommended against joining on float columns (or any column with floating point precision). -Columns joining tables are compared on the basis of an exact comparison, therefore if the values comparing -your float columns are not exact, you will likely get unexpected results. -- Case-sensitive columns are only partially supported. We essentially treat case-sensitive -columns as if they are case-insensitive. Therefore you may use case-sensitive columns as long as -you don't have several columns with the same name differentiated only be case sensitivity. + +- It is strongly recommended against joining on float columns or any column with floating point precision. + Columns joining tables are compared on the basis of an exact comparison, therefore if the values + comparing your float columns are not exact, you will likely get unexpected results. +- Case-sensitive columns are only partially supported. We essentially treat case-sensitive columns as + if they are case-insensitive. Therefore you may use case-sensitive columns as long as you don't have several + columns with the same name differentiated only be case sensitivity. diff --git a/_static/documentation_options.js b/_static/documentation_options.js index 061ed0ab..eb0057b4 100644 --- a/_static/documentation_options.js +++ b/_static/documentation_options.js @@ -1,5 +1,5 @@ const DOCUMENTATION_OPTIONS = { - VERSION: '0.14.2', + VERSION: '0.14.3', LANGUAGE: 'en', COLLAPSE_INDEX: false, BUILDER: 'html', diff --git a/api/datacompy.html b/api/datacompy.html index f6a913c3..8cab2487 100644 --- a/api/datacompy.html +++ b/api/datacompy.html @@ -6,7 +6,7 @@ - datacompy package - datacompy 0.14.2 documentation + datacompy package - datacompy 0.14.3 documentation @@ -166,7 +166,7 @@
-
datacompy 0.14.2 documentation
 +
datacompy 0.14.3 documentation
@@ -190,7 +190,7 @@
- datacompy 0.14.2 documentation + datacompy 0.14.3 documentation
diff --git a/api/datacompy.spark.html b/api/datacompy.spark.html index 085595ff..4d7d19d5 100644 --- a/api/datacompy.spark.html +++ b/api/datacompy.spark.html @@ -6,7 +6,7 @@ - datacompy.spark package - datacompy 0.14.2 documentation + datacompy.spark package - datacompy 0.14.3 documentation @@ -166,7 +166,7 @@
-
datacompy 0.14.2 documentation
 +
datacompy 0.14.3 documentation
@@ -190,7 +190,7 @@
- datacompy 0.14.2 documentation + datacompy 0.14.3 documentation @@ -1355,7 +1355,7 @@

Submodules +

diff --git a/api/modules.html b/api/modules.html index 8b8fe36f..1feea2a0 100644 --- a/api/modules.html +++ b/api/modules.html @@ -6,7 +6,7 @@ - datacompy - datacompy 0.14.2 documentation + datacompy - datacompy 0.14.3 documentation @@ -166,7 +166,7 @@
-
datacompy 0.14.2 documentation
 +
datacompy 0.14.3 documentation
@@ -190,7 +190,7 @@
- datacompy 0.14.2 documentation + datacompy 0.14.3 documentation @@ -558,7 +558,7 @@

datacompy +

diff --git a/benchmark.html b/benchmark.html index e82daab5..3b6684f6 100644 --- a/benchmark.html +++ b/benchmark.html @@ -6,7 +6,7 @@ - Benchmarks - datacompy 0.14.2 documentation + Benchmarks - datacompy 0.14.3 documentation @@ -166,7 +166,7 @@
-
datacompy 0.14.2 documentation
 +
datacompy 0.14.3 documentation
@@ -190,7 +190,7 @@
- datacompy 0.14.2 documentation + datacompy 0.14.3 documentation @@ -466,7 +466,7 @@

TLDR

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U

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Contents
  • Snowflake Usage

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    Caveats and Limitations

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    Python Module Index

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    +
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9, 10, 11], "requir": 4, "roadmap": 6, "row": [8, 9, 10, 11], "run": 4, "schema": 10, "setup": [3, 8, 9, 10], "snowflak": [0, 4, 10], "snowflakecompar": 10, "snowpark": 10, "spark": [1, 6, 11], "sparkpandascompar": 6, "sparksqlcompar": 11, "sql": 1, "submodul": [0, 1], "subpackag": 0, "support": 6, "tabl": [6, 10], "table_nam": 10, "test": 4, "tldr": 3, "unit": 4, "us": 3, "usag": [5, 8, 9, 10, 11], "valid": 10, "version": 6, "virtualenv": 7, "work": 5}}) \ No newline at end of file diff --git a/snowflake_usage.html b/snowflake_usage.html index ff562dc5..43fbded4 100644 --- a/snowflake_usage.html +++ b/snowflake_usage.html @@ -6,7 +6,7 @@ - Snowpark/Snowflake Usage - datacompy 0.14.2 documentation + Snowpark/Snowflake Usage - datacompy 0.14.3 documentation @@ -166,7 +166,7 @@
    -
    datacompy 0.14.2 documentation
     +
    datacompy 0.14.3 documentation
    @@ -190,7 +190,7 @@
    - datacompy 0.14.2 documentation + datacompy 0.14.3 documentation @@ -264,11 +264,11 @@

    Snowpark/Snowflake Usage

  • on_index is not supported.

  • Joining is done using EQUAL_NULL which is the equality test that is safe for null values.

    • -

  • Compares snowflake.snowpark.DataFrame, which can be provided as either raw Snowflake dataframes

    • +

  • Compares snowflake.snowpark.DataFrame, which can be provided as either raw Snowflake dataframes +or as the names of full names of valid snowflake tables, which we will process into Snowpark dataframes.

    • -

    or the as the names of full names of valid snowflake tables, which we will process into Snowpark dataframes.

    -
    -

    SnowflakeCompare Object Setup

    +
    +

    SnowflakeCompare setup

    There are two ways to specify input dataframes for SnowflakeCompare

    Provide Snowpark dataframes

    @@ -322,8 +322,25 @@

    Provide Snowpark dataframes -

    Provide the full name ({db}.{schema}.{table_name}) of valid Snowflake tables

    +

    Provide the full name (db.schema.table_name) of valid Snowflake tables

    Given the dataframes from the prior examples…

    +
    df_1.write.mode("overwrite").save_as_table("toy_table_1")
+df_2.write.mode("overwrite").save_as_table("toy_table_2")
+
+compare = sp.SnowflakeCompare(
+    session,
+    f"{db}.{schema}.toy_table_1",
+    f"{db}.{schema}.toy_table_2",
+    join_columns=['acct_id'],
+    rel_tol=1e-03,
+    abs_tol=1e-04,
+)
+compare.matches(ignore_extra_columns=False)
+
+# This method prints out a human-readable report summarizing and sampling differences
+print(compare.report())
+
    +
    @@ -555,13 +572,13 @@

    Duplicate rows

    Additional considerations

      -

    • It is strongly recommended against joining on float columns (or any column with floating point precision).

      • +

    • It is strongly recommended against joining on float columns or any column with floating point precision. +Columns joining tables are compared on the basis of an exact comparison, therefore if the values +comparing your float columns are not exact, you will likely get unexpected results.

      • +

    • Case-sensitive columns are only partially supported. We essentially treat case-sensitive columns as +if they are case-insensitive. Therefore you may use case-sensitive columns as long as you don’t have several +columns with the same name differentiated only be case sensitivity.

    -

    Columns joining tables are compared on the basis of an exact comparison, therefore if the values comparing -your float columns are not exact, you will likely get unexpected results. -- Case-sensitive columns are only partially supported. We essentially treat case-sensitive -columns as if they are case-insensitive. Therefore you may use case-sensitive columns as long as -you don’t have several columns with the same name differentiated only be case sensitivity.

    @@ -621,9 +638,9 @@

    Additional considerations

    diff --git a/spark_usage.html b/spark_usage.html index 2a9417bd..187f4cd7 100644 --- a/spark_usage.html +++ b/spark_usage.html @@ -6,7 +6,7 @@ - Spark Usage - datacompy 0.14.2 documentation + Spark Usage - datacompy 0.14.3 documentation @@ -166,7 +166,7 @@
    -
    datacompy 0.14.2 documentation
     +
    datacompy 0.14.3 documentation
    @@ -190,7 +190,7 @@
    - datacompy 0.14.2 documentation + datacompy 0.14.3 documentation @@ -627,7 +627,7 @@

    Duplicate rows +