# +---+-----+-----+
# | id|d_var|d_val|
# +---+-----+-----+
# |a01|  112| null|
# |a01|  113|    0|
# |a02|  112| null|
# |a02|  113|    0|
# +---+-----+-----+

dfA = spark.createDataFrame(
    [
        ('a01', '112', None),
        ('a01', '113', '0'),
        ('a02', '112', None),
        ('a02', '113', '0')
    ],
    ('id', 'd_var', 'd_val')
)

# +---+-----+-----+------+-----+
# | id|d_var|d_val|c_type|c_val|
# +---+-----+-----+------+-----+
# |a01|  112| null|   red|    1|
# |a01|  113|    0|   red|    1|
# +---+-----+-----+------+-----+

dfB = spark.createDataFrame(
    [
        ('a01', '112', None, 'red', '1'),
        ('a01', '113', '0', 'red', '1')
    ],
    ('id', 'd_var', 'd_val', 'c_type', 'c_val')
)

static_cols = dfB.columns[:3]
dfA.join(dfB, static_cols, how='left').orderBy('id', 'd_var').show()

# +---+-----+-----+------+-----+
# | id|d_var|d_val|c_type|c_val|
# +---+-----+-----+------+-----+
# |a01|  112| null|  null| null|  <-
# |a01|  113|    0|   red|    1|
# |a02|  112| null|  null| null|
# |a02|  113|    0|  null| null|
# +---+-----+-----+------+-----+

# +---+-----+-----+------+-----+
# | id|d_var|d_val|c_type|c_val|
# +---+-----+-----+------+-----+
# |a01|  112| null|   red|    1|  <-
# |a01|  113|    0|   red|    1|
# |a02|  112| null|  null| null|
# |a02|  113|    0|  null| null|
# +---+-----+-----+------+-----+