[Feature][Connectors] LocalFile Support reading gz

[zhdech]

Purpose of this pull request

solve #8019

Does this PR introduce any user-facing change?

no

How was this patch tested?

Check list

• If any new Jar binary package adding in your PR, please add License Notice according
  New License Guide
• If necessary, please update the documentation to describe the new feature. https://github.com/apache/seatunnel/tree/dev/docs
• If you are contributing the connector code, please check that the following files are updated:
  1. Update plugin-mapping.properties and add new connector information in it
  2. Update the pom file of seatunnel-dist
  3. Add ci label in label-scope-conf
  4. Add e2e testcase in seatunnel-e2e
  5. Update connector plugin_config
• Update the release-note.

[Hisoka-X]

Thanks @zhdech ! Could you add a test case for this feature?

[zhdech]

Thanks @zhdech ! Could you add a test case for this feature?

OK。May I ask how to resolve the following construction errors? What do you need me to do?
好的。请问，针对下面的构建错误，如何解决？需要我怎么做？

[Hisoka-X]

May I ask how to resolve the following construction errors? What do you need me to do?

Try to retrigger failed ci. It is unstable. cc @zhangshenghang

[Hisoka-X]

Please add test case

[zhdech]

@Hisoka-X Sir, please help me check it.

[corgy-w]

small changes

[corgy-w]

Forgot to add, although .xlsx files do not support reading after being compressed by gz, .xls does. Can be added later for testing. cc @Hisoka-X @zhdech

[zhdech]

Forgot to add, although .xlsx files do not support reading after being compressed by gz, .xls does. Can be added later for testing. cc @Hisoka-X @zhdech
When testing. xls locally, it prompts that it is not supported

The configuration is as follows：
`env {
parallelism = 1
job.mode = "BATCH"
spark.app.name = "SeaTunnel"
spark.executor.instances = 2
spark.executor.cores = 1
spark.executor.memory = "1g"
spark.master = local
job.mode = "BATCH"
}

source {
LocalFile {
path = "/seatunnel/read/gz/excel/single/e2e-xls-gz.xls.gz"
result_table_name = "fake"
file_format_type = excel
archive_compress_codec = "gz"
field_delimiter = ;
skip_header_row_number = 1
schema = {
fields {
c_map = "map<string, string>"
c_array = "array"
c_string = string
c_boolean = boolean
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
c_bytes = bytes
c_date = date
c_decimal = "decimal(38, 18)"
c_timestamp = timestamp
c_row = {
c_map = "map<string, string>"
c_array = "array"
c_string = string
c_boolean = boolean
c_tinyint = tinyint
c_smallint = smallint
c_int = int
c_bigint = bigint
c_float = float
c_double = double
c_bytes = bytes
c_date = date
c_decimal = "decimal(38, 18)"
c_timestamp = timestamp
}
}
}
}
}

sink {
Assert {
rules {
row_rules = [
{
rule_type = MAX_ROW
rule_value = 5
},
{
rule_type = MIN_ROW
rule_value = 5
}
],
field_rules = [
{
field_name = c_string
field_type = string
field_value = [
{
rule_type = NOT_NULL
}
]
},
{
field_name = c_boolean
field_type = boolean
field_value = [
{
rule_type = NOT_NULL
}
]
},
{
field_name = c_double
field_type = double
field_value = [
{
rule_type = NOT_NULL
}
]
}
]
}
}
}
`

[corgy-w]

When testing. xls locally, it prompts that it is not supported

Got it. I will check it out when I have time. tks @zhdech