51zero / 51zero/eel-sdk

Need an example of creating DDL for a Hive Parquet table with EEL

Open Beginner friendly
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Dominant language
Scala
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Description

- CSVSource to HiveSink
```scala
val schema = AvroSchemaFns.fromAvroSchema(new Schema.Parser().parse(new File("user.avsc")))
CsvSource(path)
.withSchema(schema)
.to(HiveSink("mydatabase", "myTable"))
```
- Table field: **fname**, **lname**, **age**, **salary**
- 2 partition keys of **country** and **city**

```scala
object EelCreateTableExample extends App {
val crateTableCommand = HiveDDL.showDDL(
tableName = "mydatabase.mytable",
partitions = Seq(
PartitionColumn("country", StringType),
PartitionColumn("city", StringType)
),
fields = Seq(
Field("fname", StringType),
Field("lname", StringType),
Field("age", IntType.Signed),
Field("salary", DecimalType(38, 5))
),
tableType = TableType.EXTERNAL_TABLE,
location = Some("hdfs://nameservice1/blah/mytable_location"),
serde = "org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe",
inputFormat = "org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat",
outputFormat = "org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat",
props = Map.empty,
tableComment = Some("my lovely table"),
ifNotExists = true
)
println(crateTableCommand)
}
```

- Ouput:
```
CREATE EXTERNAL TABLE IF NOT EXISTS `mydatabase.mytable` (
`fname` string,
`lname` string,
`age` int,
`salary` decimal(38,5))
PARTITIONED BY (
`country` string,
`city` string)
ROW FORMAT SERDE
'org.apache.hadoop.hive.ql.io.parquet.serde.ParquetHiveSerDe'
STORED AS INPUTFORMAT
'org.apache.hadoop.hive.ql.io.parquet.MapredParquetInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.parquet.MapredParquetOutputFormat'
LOCATION 'hdfs://nameservice1/blah/mytable_location'
```

Contributor guide

No contributing guide indexed for this repository

Research direction

The example is already provided in the issue body. Look for the HiveDDL class in the codebase to understand how showDDL is implemented. Verify the output matches the expected CREATE EXTERNAL TABLE statement. Add this example to the project's documentation, likely in a examples or docs directory. Run the example to ensure it compiles and prints the correct DDL.

Written by the indexing model from the issue text.

Assessment

Tech stack
hadoop, scala
Domain
data-engineering, databases
Issue type
Documentation
Difficulty
2/5
Estimated time
1-3 hours
Activity status
Stale
Clarity
Clearly specified
Newbie friendliness
75/100

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