我有一个JSON文件，其中包含一些跑步者的数据。 我正在尝试使用以下方法过滤一些数据：
performFilterByRunnerName(filterBy: string):IRunners[]{
return this.runners.filter(x=>x.runnerName=filterBy);
}
HTML的一部分是：
<input #filterinputrunner id="runnerFilter" type="text"
(change) = "performFilterByRunnerName(filterinputrunner.value)"
[ngModel]='listRunnerFilter'>
我有一个IRunner类型（接口）的列表，其中包含跑步者的数据。
更改input的值时，发生的情况是runnerName字段对所有runners都发生了更改，而不是使用输入值过滤运行器。
我在做什么错了？
答案 0 :(得分：2)
#-------- COPY PASTED BigQueryGetDataOperator SECTION: START --------------
'''Source: https://airflow.readthedocs.io/en/stable/_modules/airflow/contrib/operators/bigquery_get_data.html#BigQueryGetDataOperator '''
from airflow.contrib.hooks.bigquery_hook import BigQueryHook
from airflow.models import BaseOperator
from airflow.utils.decorators import apply_defaults
class BigQueryGetDataOperator(BaseOperator):
template_fields = ('dataset_id', 'table_id', 'max_results')
ui_color = '#e4f0e8'
@apply_defaults
def __init__(self,
dataset_id,
table_id,
max_results='100',
selected_fields=None,
bigquery_conn_id='bigquery_default',
delegate_to=None,
*args,
**kwargs):
super(BigQueryGetDataOperator, self).__init__(*args, **kwargs)
self.dataset_id = dataset_id
self.table_id = table_id
self.max_results = max_results
self.selected_fields = selected_fields
self.bigquery_conn_id = bigquery_conn_id
self.delegate_to = delegate_to
def execute(self, context):
self.log.info('Fetching Data from:')
self.log.info('Dataset: %s ; Table: %s ; Max Results: %s',
self.dataset_id, self.table_id, self.max_results)
hook = BigQueryHook(bigquery_conn_id=self.bigquery_conn_id,
delegate_to=self.delegate_to)
conn = hook.get_conn()
cursor = conn.cursor()
#----------------------- COPY PASTED SECTION: END ----------------
# Trying to add to a MongoDB here itself - coed by GT
from pymongo import MongoClient
header = ['day', 'ticker','app_id','area', 'store_types', 'devices_in_store', 'devices_in_store_or_plot', 'matched_devices', \
'all_devices']
client = MongoClient('35.237.46.25:27017')
db = client.test03
collection = db.advan_t1_sample_mongo00
response = cursor.get_tabledata(dataset_id=self.dataset_id, start_index=0,
table_id=self.table_id,
max_results='2',
selected_fields=self.selected_fields)
total_rows=int(response['totalRows'])
chunksize=100000
for chunk in range(0,total_rows,chunksize):
rows=[]
if chunk+chunksize<total_rows:
self.log.info("Extracting chunk %d to %d"%(chunk,chunk+chunksize))
response = cursor.get_tabledata(dataset_id=self.dataset_id, start_index=chunk,
table_id=self.table_id,
max_results=str(chunksize),
selected_fields=self.selected_fields)
rows = response['rows']
for row in rows:
onerow={}
for i,f in zip(range(len(row['f'])),row['f']):
onerow[header[i]] = f['v']
collection.insert_one(onerow)
self.log.info("------------------------- Document size: %d --------------------"%(collection.find().count()))
else:
self.log.info("Extracting chunk %d to %d"%(chunk,total_rows))
response = cursor.get_tabledata(dataset_id=self.dataset_id, start_index=chunk,
table_id=self.table_id,
max_results=total_rows,
selected_fields=self.selected_fields)
rows = response['rows']
for row in rows:
onerow={}
for i,f in zip(range(len(row['f'])),row['f']):
onerow[header[i]] = f['v']
collection.insert_one(onerow)
self.log.info("------------------------- Document size: %d --------------------"%(collection.find().count()))
self.log.info("Pushed into %s"%collection.name)
if total_rows == collection.find().count():
self.log.info("Successfully pushed %d records into %s"%(total_rows,collection.name))
return(1)
else:
self.log.warning("Push Failed! Total Rows: %d Document Size: %d"%(total_rows,collection.find().count()))
return(0)
# return rows
from airflow import models
from airflow.operators.python_operator import PythonOperator
from airflow.utils import trigger_rule
from airflow.contrib.operators import gcs_to_bq
from airflow.contrib.operators import bigquery_to_gcs
from airflow.contrib.operators import bigquery_operator
from airflow.contrib.operators import bigquery_get_data
from airflow.contrib.operators import MongoHook
def get_dlist(**kwargs):
import logging as log
#Import pymongo
from pymongo import MongoClient
#Pull the data saved in XCom
value = kwargs.get('task_instance').xcom_pull(task_ids='get_data_in_list_from_bq')
header = ['V1','V2']
data=[]
for rows in value:
onerow={}
for i,f in zip(range(len(rows['f'])),rows['f']):
onerow[header[i]] = f['v']
data.append(onerow)
log.info("Pulled...")
log.info(data)
log.info("Pushing into mongodb...")
client = MongoClient(localhost:27017)
db = client.test
collection = db.testingbq2mongo
collection.insert(data)
log.info("Written to mongoDB...")
client.close()
default_dag_args = {
# Setting start date as yesterday starts the DAG immediately when it is
# detected in the Cloud Storage bucket.
'start_date':yesterday,
# To email on failure or retry set 'email' arg to your email and enable
# emailing here.
'email_on_failure': False,
'email_on_retry': False,
# If a task fails, retry it once after waiting at least 5 minutes
'retries': 0,
#'retry_delay': datetime.timedelta(minutes=5),
'project_id': 'data-rubrics'
}
try:
# [START composer_quickstart_schedule]
with models.DAG(
'composer_testing00',
# Continue to run DAG once per day
schedule_interval=datetime.timedelta(days=1),
default_args=default_dag_args) as dag:
# [END composer_quickstart_schedule]
data_list = bigquery_get_data.BigQueryGetDataOperator(\
task_id='get_data_in_list_from_bq',\
dataset_id='testcomposer',\ # Name of the dataset which contains the table ( a BQ terminology)
table_id='summarized_sample_T1' # Name of the BQ table you want to push into MongoDB
)
op_push2mongo = PythonOperator(task_id='Push_to_MongoDB', python_callable=get_dlist, provide_context=True)
data_list >> op_push2mongo
except Exception as e:
raise(e)
您要比较而不是分配
(x=>x.runnerName=filterBy)
应该是正确的。投票关闭。
答案 1 :(得分：1)
您的过滤条件似乎不正确。您正在为每个跑步者分配（=属性filterBy。
您想要的是相等条件（===）。
return this.runners.filter(x => x.runnerName === filterBy);
答案 2 :(得分：1)
此行突出显示的代码是在分配值而不是对其进行比较。
返回this.runners.filter（x => x.runnerName = filterBy ）
您需要进行以下比较：
return this.runners.filter(x=>**x.runnerName === filterBy**)
答案 3 :(得分：1)
如果您使用的是change，它将不会在您键入时更新过滤的结果，而只会在blur上对其进行更新。如果您希望在键入时更新列表，则应考虑使用keyup。
(keyup) = "performFilterByRunnerName(filterinputrunner.value)"
此外，基于过滤器搜索的过滤器将包括在结果中，而不是确切的字符串搜索。这样会产生更好的搜索结果：
onFilterChange(filterBy) {
this.filteredUsers = [...this.users.filter(user => user.name.indexOf(filterBy) > -1)];
}
这是您推荐的Sample StackBlitz。