Json 使用Groovy Nifi读取流文件
我尝试将Avro文件转换为SQL请求。我的文件如下:Json 使用Groovy Nifi读取流文件,json,groovy,apache-nifi,Json,Groovy,Apache Nifi,我尝试将Avro文件转换为SQL请求。我的文件如下: { "type" : "record", "name" : "warranty", "doc" : "Schema generated by Kite", "fields" : [ { "name" : "id", "type" : "long", "doc" : "Type inferred from '1'" }, { "name" : "train_id", "type" :
{
"type" : "record",
"name" : "warranty",
"doc" : "Schema generated by Kite",
"fields" : [ {
"name" : "id",
"type" : "long",
"doc" : "Type inferred from '1'"
}, {
"name" : "train_id",
"type" : "long",
"doc" : "Type inferred from '21691'"
}, {
"name" : "siemens_nr",
"type" : "string",
"doc" : "Type inferred from 'Loco-001'"
}, {
"name" : "uic_nr",
"type" : "long",
"doc" : "Type inferred from '193901'"
}, {
"name" : "Configuration",
"type" : "string",
"doc" : "Type inferred from 'ZP28'"
}, {
"name" : "Warranty_Status",
"type" : "string",
"doc" : "Type inferred from 'Out_of_Warranty'"
}, {
"name" : "Warranty_Data_Type",
"type" : "string",
"doc" : "Type inferred from 'Real_based_on_preliminary_acceptance_date'"
}
我的代码是:
import groovy.json.JsonSlurper
def ff = session.get()
if(!ff)return
//parse afro schema from flow file content
def schema = ff.read().withReader("UTF-8"){ new JsonSlurper().parse(it) }
//define type mapping
def typeMap = [
"string" : "varchar(255)",
"long" : "numeric(10)",
[ "null", "string" ]: "varchar(255)",
[ "null", "long" ] : "numeric(10)",
]
//build create table statement
def createTable = "create table ${schema.name} (" +
schema.fields.collect{ "\n ${it.name.padRight(39)} ${typeMap[it.type]}" }.join(',') +
"\n)"
//execute statement through the custom defined property
//SQL.mydb references http://docs.groovy-lang.org/2.4.10/html/api/groovy/sql/Sql.html object
SQL.mydb.execute(createTable)
//transfer flow file to success
REL_SUCCESS << ff
有人能帮我一下吗?plz这引用了一个脚本,我在那里发表了评论,并提供了一个关于的答案,为了完整起见,我将复制到这里: 变量createTable是GString,而不是Java字符串。这会导致调用Sql.execute(GString),将嵌入的表达式转换为参数,并且不能将参数用作表名。请改用以下方法:
SQL.mydb.execute(createTable.toString())
这将导致调用Sql.execute(String),它不会尝试参数化语句
SQL.mydb.execute(createTable.toString())