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# Extração de dados em seu catálogo de AWS Glue dados para análise de chamadas do Amazon Chime SDK
<a name="ca-data-model-queries"></a>

Use esses exemplos de consultas para extrair e organizar os dados em seu catálogo de dados do Glue de análise de chamadas do SDK do Amazon Chime. 

**nota**  
Para obter informações sobre como se conectar ao Amazon Athena e consultar seu catálogo de dados do Glue, consulte [Conexão ao Amazon Athena com ODBC](https://docs.aws.amazon.com/athena/latest/ug/connect-with-odbc.html).

Expanda cada seção conforme necessário.

## Extraindo valores de metadados (tipo de dados STRING) na tabela call\$1analytics\$1metadata
<a name="qry-insights-metadata"></a>

`call_analytics_metadata` tem o campo `metadata` em formato de string JSON. Use a [função json\$1extract\$1scalar](https://docs.aws.amazon.com/athena/latest/ug/extracting-data-from-JSON.html) no Athena para consultar os elementos dessa string.

```
SELECT
    json_extract_scalar(metadata,'$.voiceConnectorId') AS "VoiceConnector ID",
    json_extract_scalar(metadata,'$.fromNumber') AS "From Number",
    json_extract_scalar(metadata,'$.toNumber') AS "To Number",
    json_extract_scalar(metadata,'$.callId') AS "Call ID",
    json_extract_scalar(metadata,'$.direction') AS Direction,
    json_extract_scalar(metadata,'$.transactionId') AS "Transaction ID"
FROM 
    "GlueDatabaseName"."call_analytics_metadata"
```

## Consultando SIPRECMetadata atualizações na tabela call\$1analytics\$1metadata
<a name="qry-insights-siprec-metadata"></a>

O `call_analytics_metadata` campo tem o campo de metadados em formato de string JSON. `metadata`tem outro objeto aninhado chamado`oneTimeMetadata`, esse objeto contém SIPRec metadados em XML original e formatos JSON transformados. Use a função `json_extract_scalar` no Athena para consultar os elementos dessa string.

```
SELECT
    json_extract_scalar(metadata,'$.voiceConnectorId') AS "VoiceConnector ID",
    json_extract_scalar(metadata,'$.fromNumber') AS "From Number",
    json_extract_scalar(metadata,'$.toNumber') AS "To Number",
    json_extract_scalar(metadata,'$.callId') AS "Call ID",
    json_extract_scalar(metadata,'$.direction') AS Direction,
    json_extract_scalar(metadata,'$.transactionId') AS "Transaction ID",
    json_extract_scalar(json_extract_scalar(metadata,'$.oneTimeMetadata'),'$.siprecMetadata') AS "siprec Metadata XML",
    json_extract_scalar(json_extract_scalar(metadata,'$.oneTimeMetadata'),'$.siprecMetadataJson') AS "Siprec Metadata JSON",
    json_extract_scalar(json_extract_scalar(metadata,'$.oneTimeMetadata'),'$.inviteHeaders') AS "Invite Headers"
FROM 
    "GlueDatabaseName"."call_analytics_metadata"
WHERE 
    callevent-type = "update";
```

## Extraindo valores de metadados (tipo de dados STRING) na tabela call\$1analytics\$1recording\$1metadata
<a name="qry-recording-metadata"></a>

`call_analytics_recording_metadata` tem o campo de metadados em formato de string JSON. Use a [função json\$1extract\$1scalar](https://docs.aws.amazon.com/athena/latest/ug/extracting-data-from-JSON.html) no Athena para consultar os elementos dessa string.

```
SELECT
    json_extract_scalar(metadata,'$.voiceConnectorId') AS "VoiceConnector ID",
    json_extract_scalar(metadata,'$.fromNumber') AS "From Number",
    json_extract_scalar(metadata,'$.toNumber') AS "To Number",
    json_extract_scalar(metadata,'$.callId') AS "Call ID",
    json_extract_scalar(metadata,'$.direction') AS Direction,
    json_extract_scalar(metadata,'$.transactionId') AS "Transaction ID"
FROM 
    "GlueDatabaseName"."call_analytics_recording_metadata"
WHERE 
    detail-subtype = "Recording"
```

## Extraindo valores dos detalhes (tipo de dados STRUCT) na tabela voice\$1analytics\$1status
<a name="qry-va-status"></a>

`voice_analytics_status` tem um campo de detalhes no tipo de dados `struct`. O exemplo a seguir mostra como consultar um campo de tipo de dados `struct`:

```
SELECT
    detail.transactionId AS "Transaction ID",
    detail.voiceConnectorId AS "VoiceConnector ID",
    detail.siprecmetadata AS "Siprec Metadata",
    detail.inviteheaders AS "Invite Headers",
    detail.streamStartTime AS "Stream Start Time"
FROM 
    "GlueDatabaseName"."voice_analytics_status"
```

## Unindo as tabelas voice\$1analytics\$1status e call\$1analytics\$1metadata
<a name="qry-join-va-meta"></a>

A consulta de exemplo a seguir une `call_analytics_metadata` e `voice_analytics_status`:

```
SELECT
    a.detail.transactionId AS "Transaction ID",
    a.detail.voiceConnectorId AS "VoiceConnector ID",
    a.detail.siprecmetadata AS "Siprec Metadata",
    a.detail.inviteheaders AS "Invite Headers",
    a.detail.streamStartTime AS "Stream Start Time"
    json_extract_scalar(b.metadata,'$.fromNumber') AS "From Number",
    json_extract_scalar(b.metadata,'$.toNumber') AS "To Number",
    json_extract_scalar(b.metadata,'$.callId') AS "Call ID",
    json_extract_scalar(b.metadata,'$.direction') AS Direction
FROM 
    "GlueDatabaseName"."voice_analytics_status" a
INNER JOIN 
    "GlueDatabaseName"."call_analytics_metadata" b
ON a.detail.transactionId = json_extract_scalar(b.metadata,'$.transactionId')
```

## Extraindo transcrições da tabela transcribe\$1call\$1analytics\$1post\$1call
<a name="qry-transcribe-ca-post-call"></a>

transcribe\$1call\$1analytics\$1post\$1call tem campo de transcrição em formato de struct com matrizes aninhadas. Use a consulta a seguir para desaninhar as matrizes:

```
SELECT 
    jobstatus,
    languagecode,
    IF(CARDINALITY(m.transcript)=0 OR CARDINALITY(m.transcript) IS NULL, NULL, e.transcript.id) AS utteranceId,
    IF(CARDINALITY(m.transcript)=0 OR CARDINALITY(m.transcript) IS NULL, NULL, e.transcript.content) AS transcript,
    accountid,
    channel,
    sessionid,
    contentmetadata.output AS "Redaction"
FROM 
    "GlueDatabaseName"."transcribe_call_analytics_post_call" m
CROSS JOIN UNNEST
    (IF(CARDINALITY(m.transcript)=0, ARRAY[NULL], transcript)) AS e(transcript)
```

## Unindo as tabelas transcribe\$1call\$1analytics\$1post\$1call e call\$1analytics\$1metadata
<a name="qry-va-status"></a>

A consulta a seguir une transcribe\$1call\$1analytics\$1post\$1call e call\$1analytics\$1metadata:

```
WITH metadata AS(
  SELECT 
    from_iso8601_timestamp(time) AS "Timestamp",
    date_parse(date_format(from_iso8601_timestamp(time), '%m/%d/%Y %H:%i:%s') , '%m/%d/%Y %H:%i:%s') AS "DateTime",
    date_parse(date_format(from_iso8601_timestamp(time) , '%m/%d/%Y') , '%m/%d/%Y') AS "Date",
    date_format(from_iso8601_timestamp(time) , '%H:%i:%s')  AS "Time",
    mediainsightspipelineid,
    json_extract_scalar(metadata,'$.toNumber') AS "To Number",
    json_extract_scalar(metadata,'$.voiceConnectorId') AS "VoiceConnector ID",
    json_extract_scalar(metadata,'$.fromNumber') AS "From Number",
    json_extract_scalar(metadata,'$.callId') AS "Call ID",
    json_extract_scalar(metadata,'$.direction') AS Direction,
    json_extract_scalar(metadata,'$.transactionId') AS "Transaction ID",
    REGEXP_REPLACE(REGEXP_EXTRACT(json_extract_scalar(metadata,'$.oneTimeMetadata.s3RecordingUrl'), '[^/]+(?=\.[^.]+$)'), '\.wav$', '') AS "SessionID"
  FROM 
    "GlueDatabaseName"."call_analytics_metadata"
),
transcript_events AS(
  SELECT 
    jobstatus,
    languagecode,
    IF(CARDINALITY(m.transcript)=0 OR CARDINALITY(m.transcript) IS NULL, NULL, e.transcript.id) AS utteranceId,
    IF(CARDINALITY(m.transcript)=0 OR CARDINALITY(m.transcript) IS NULL, NULL, e.transcript.content) AS transcript,
    accountid,
    channel,
    sessionid,
    contentmetadata.output AS "Redaction"
  FROM 
    "GlueDatabaseName"."transcribe_call_analytics_post_call" m
  CROSS JOIN UNNEST
    (IF(CARDINALITY(m.transcript)=0, ARRAY[NULL], transcript)) AS e(transcript)
)
SELECT 
    jobstatus,
    languagecode,
    a.utteranceId,
    transcript,
    accountid,
    channel,
    a.sessionid,
    "Redaction"
    "Timestamp",
    "DateTime",
    "Date",
    "Time",
    mediainsightspipelineid,
    "To Number",
    "VoiceConnector ID",
    "From Number",
    "Call ID",
    Direction,
    "Transaction ID"
FROM 
    "GlueDatabaseName"."transcribe_call_analytics_post_call" a
LEFT JOIN 
    metadata b
ON 
    a.sessionid = b.SessionID
```

## Consultando objeto de mídia URLs para gravação de chamadas com aprimoramento de voz
<a name="qry-voice-enhancement-call-recording"></a>

A consulta de exemplo a seguir une o URL `Voice enhancement call recording`:

```
SELECT 
    json_extract_scalar(metadata,'$.voiceConnectorId') AS "VoiceConnector ID",
    json_extract_scalar(metadata,'$.fromNumber') AS "From Number",
    json_extract_scalar(metadata,'$.toNumber') AS "To Number",
    json_extract_scalar(metadata,'$.callId') AS "Call ID",
    json_extract_scalar(metadata,'$.direction') AS Direction,
    json_extract_scalar(metadata,'$.transactionId') AS "Transaction ID",
    s3MediaObjectConsoleUrl
FROM
    {GlueDatabaseName}."call_analytics_recording_metadata"
WHERE
    detail-subtype = "VoiceEnhancement"
```