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3 changes: 3 additions & 0 deletions src/pxl_scripts/px/mongodb_data/manifest.yaml
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---
short: MongoDB Data
long: Shows the most recent MongoDB messages in the cluster.
116 changes: 116 additions & 0 deletions src/pxl_scripts/px/mongodb_data/mongodb_data.pxl
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# Copyright 2018- The Pixie Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# SPDX-License-Identifier: Apache-2.0

''' MongoDB Data Tracer

Shows the most recent MongoDB messages in the cluster.
'''
import px


def mongodb_data(start_time: str, source_filter: str, destination_filter: str, num_head: int):

df = px.DataFrame(table='mongodb_events', start_time=start_time)
df = add_source_dest_columns(df)

# Filter out entities as specified by the user.
df = df[px.contains(df.source, source_filter)]
df = df[px.contains(df.destination, destination_filter)]

# Add additional filters below:

# Restrict number of results.
df = df.head(num_head)

df = add_source_dest_links(df, start_time)
df = df[['time_', 'source', 'destination', 'req_cmd', 'req_body', 'resp_status', 'resp_body', 'latency']]

return df


def add_source_dest_columns(df):
''' Add source and destination columns for the MongoDB request.

MongoDB requests are traced server-side (trace_role==2), unless the server is
outside of the cluster in which case the request is traced client-side (trace_role==1).

When trace_role==2, the MongoDB request source is the remote_addr column
and destination is the pod column. When trace_role==1, the MongoDB request
source is the pod column and the destination is the remote_addr column.

Input DataFrame must contain trace_role, upid, remote_addr columns.
'''
df.pod = df.ctx['pod']
df.namespace = df.ctx['namespace']

# If remote_addr is a pod, get its name. If not, use IP address.
df.ra_pod = px.pod_id_to_pod_name(px.ip_to_pod_id(df.remote_addr))
df.is_ra_pod = df.ra_pod != ''
df.ra_name = px.select(df.is_ra_pod, df.ra_pod, df.remote_addr)

df.is_server_tracing = df.trace_role == 2
df.is_source_pod_type = px.select(df.is_server_tracing, df.is_ra_pod, True)
df.is_dest_pod_type = px.select(df.is_server_tracing, True, df.is_ra_pod)

# Set source and destination based on trace_role.
df.source = px.select(df.is_server_tracing, df.ra_name, df.pod)
df.destination = px.select(df.is_server_tracing, df.pod, df.ra_name)

# Filter out messages with empty source / destination.
df = df[df.source != '']
df = df[df.destination != '']

df = df.drop(['ra_pod', 'is_ra_pod', 'ra_name', 'is_server_tracing'])

return df


def add_source_dest_links(df, start_time: str):
''' Modifies the source and destination columns to display deeplinks in the UI.
Clicking on a pod name in either column will run the px/pod script for that pod.
Clicking on an IP address, will run the px/ip script showing all network connections
to/from that IP address.

Input DataFrame must contain source, destination, is_source_pod_type,
is_dest_pod_type, and namespace columns.
'''

# Source linking. If source is a pod, link to px/pod. If an IP addr, link to px/net_flow_graph.
df.src_pod_link = px.script_reference(df.source, 'px/pod', {
'start_time': start_time,
'pod': df.source
})
df.src_link = px.script_reference(df.source, 'px/ip', {
'start_time': start_time,
'ip': df.source,
})
df.source = px.select(df.is_source_pod_type, df.src_pod_link, df.src_link)

# If destination is a pod, link to px/pod. If an IP addr, link to px/net_flow_graph.
df.dest_pod_link = px.script_reference(df.destination, 'px/pod', {
'start_time': start_time,
'pod': df.destination
})
df.dest_link = px.script_reference(df.destination, 'px/ip', {
'start_time': start_time,
'ip': df.destination,
})
df.destination = px.select(df.is_dest_pod_type, df.dest_pod_link, df.dest_link)

df = df.drop(['src_pod_link', 'src_link', 'is_source_pod_type', 'dest_pod_link',
'dest_link', 'is_dest_pod_type'])

return df
69 changes: 69 additions & 0 deletions src/pxl_scripts/px/mongodb_data/vis.json
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{
"variables": [
{
"name": "start_time",
"type": "PX_STRING",
"description": "The relative start time of the window. Current time is assumed to be now.",
"defaultValue": "-5m"
},
{
"name": "source_filter",
"type": "PX_STRING",
"description": "The partial string to match the 'source' column.",
"defaultValue": ""
},
{
"name": "destination_filter",
"type": "PX_STRING",
"description": "The partial string to match the 'destination' column.",
"defaultValue": ""
},
{
"name": "max_num_records",
"type": "PX_INT64",
"description": "Max number of records to show.",
"defaultValue": "1000"
}
],
"globalFuncs": [
{
"outputName": "mongodb_data",
"func": {
"name": "mongodb_data",
"args": [
{
"name": "start_time",
"variable": "start_time"
},
{
"name": "source_filter",
"variable": "source_filter"
},
{
"name": "destination_filter",
"variable": "destination_filter"
},
{
"name": "num_head",
"variable": "max_num_records"
}
]
}
}
],
"widgets": [
{
"name": "Table",
"position": {
"x": 0,
"y": 0,
"w": 12,
"h": 4
},
"globalFuncOutputName": "mongodb_data",
"displaySpec": {
"@type": "types.px.dev/px.vispb.Table"
}
}
]
}