Migrating Data from Greenplum 4.3.X/5/6 to YMatrix 5

This document describes best practices for migrating data from Greenplum 4.3.X/5/6 to YMatrix 5.

1 Environment Preparation

Before performing any major operation, thorough preparation is essential—both in terms of technical readiness and mental preparedness (as issues may arise at any time). While personal mental preparation varies, we provide a comprehensive checklist for technical setup. Some steps are optional:

No. Preparation Step Description Optional
1 Back up source cluster data Migration only reads from the source cluster and does not modify data, so there is no risk of data corruption due to migration Yes
2 Install and deploy target database software No, required
3 Set up monitoring for the target cluster Optional, based on requirements Yes
4 Disable all DDL operations on the application side This is a critical step that can introduce risks during migration; treat it with high priority No, required
5 Terminate all business connections No, required
6 Collect information about source and target clusters Hardware/software configurations, source cluster topology, target cluster topology, etc. No, required
7 Back up source cluster metadata DDLs, schema names, user information, etc. No, required
8 Adjust or optimize DDLs Adjustment ensures compatibility between Greenplum and YMatrix DDL syntax. Optimization enables optimal database performance from the start. (Not needed when migrating from YMatrix 4 to YMatrix 5) Yes, mxshift now supports automatic DDL migration—see mxshift
9 Generate SQL file for altering table columns Yes, mxshift supports automatic index migration—see mxshift
10 Add whitelists for all nodes in source and target clusters No, required
11 Create users on the target cluster No, required
12 Restore table structures Yes, mxshift supports automatic index migration—see mxshift
13 Create DDLs on the target cluster In YMatrix, it's more efficient to create indexes after data migration. Therefore, when creating DDLs before migration, exclude index creation statements. Yes, mxshift supports automatic DDL migration—see mxshift
14 Change table column collation to C Yes

Below are detailed examples for each step.

1.1 Back Up Source Cluster Data (Optional)

Migration involves only read operations on the source cluster, so data integrity is not at risk. However, if you want extra assurance or have other use cases for the data, use the mxbackup tool for parallel cluster backup.

1.2 Install and Deploy Target Database Software

Note!
We recommend deploying the cluster without mirror segments initially. Add mirrors after migration completes to improve migration efficiency.

Note!
Hostnames of the target cluster must not conflict with those of the source cluster.

Refer to standard cluster deployment guides:

1.3 Set Up Monitoring for Target Cluster (Optional)

See monitoring and alerting documentation:

1.4 Disable All DDL Operations on Application Side

Note!
Before stopping all business traffic, no DDL operations are allowed on the source Greenplum cluster. This includes creating or modifying objects, adding or dropping columns, and executing CREATE, ALTER, TRUNCATE, DROP statements.

1.5 Terminate All Business Connections

On the Master node of the source Greenplum cluster, edit the pg_hba.conf file:

$ vim pg_hba.conf

Add client IP addresses in the following format to block remote access:

host     all         all         <Client IP Address>/<CIDR Mask>       reject

Reload the configuration to apply changes:

$ gpstop -u

1.6 Collect Source and Target Cluster Information

Gather details including number of physical machines, OS, CPU, memory, disk type, disk usage, NIC info, cluster topologies, database license, resource group settings, etc., adjusting as needed per your environment. Useful commands include:

No. Command Purpose
1 free -g View system memory
2 lscpu View number of CPUs
3 cat /etc/system-release View OS version
4 uname -a Output kernel information in order: kernel name, hostname, kernel release, kernel version, hardware architecture, processor type, platform, OS name (omitted if unknown)
5 tail -11 /proc/cpuinfo View CPU details
6 gpcheckperf Test network bandwidth and disk I/O performance

1.7 Back Up Source Cluster Metadata

As the gpadmin user, use pg_dump to back up DDLs, schemas, and user information from the source Greenplum cluster:

# Back up global user objects
pg_dumpall -g -f global_user.sql

# Back up table structures
pg_dump <source_db_name> -s -f orig.sql          

# Make a backup copy
cp orig.sql copy.sql                        

Generate SQL for recreating indexes:

$ cat get_index.sql 
WITH soi (oid, toid, SIZE, tschema, tname) AS
  ( SELECT soioid,
           soitableoid,
           soisize,
           soitableschemaname,
           soitablename
   FROM gp_toolkit.gp_size_of_index ),
     childrel (oid, coid)AS
  ( SELECT pp.parrelid,
           ppr.parchildrelid
   FROM pg_partition pp
   INNER JOIN pg_partition_rule ppr ON pp.oid = ppr.paroid ),
     irn (oid, toid, SIZE, tschema, tname, rn) AS
  ( SELECT *,
           row_number() OVER (
            ORDER BY dt.ssize DESC) rn
   FROM
     ( SELECT soi.oid,
              soi.toid ,
              sum(coalesce(dt2.SIZE, soi.SIZE)) ssize ,
                                                soi.tschema,
                                                soi.tname
      FROM soi
      LEFT JOIN
        ( SELECT childrel.oid,
                 soi.SIZE
         FROM soi
         INNER JOIN childrel ON soi.toid = childrel.coid ) dt2 ON soi.toid = dt2.oid
      GROUP BY 1,
               2,
               4,
               5 ) dt )
SELECT SQL || ';'
FROM
  ( SELECT pg_get_indexdef(oid) AS SQL ,
           (rn % 12 + (rn / 12)::int) % 12 AS orderkey
   FROM irn
   WHERE toid NOT IN
       (SELECT coid
        FROM childrel) ) dt
WHERE SQL NOT LIKE 'CREATE UNIQUE INDEX%'
ORDER BY dt.orderkey ;

Execute the above SQL using psql:

psql -d <source_db_name> -U <superuser> -t -f get_index.sql > index.sql

1.8 Adjust or Optimize DDLs (Optional)

mxshift now supports automatic DDL migration—refer to section "2 Migration Execution". Manual adjustments are described below.

Adjustments resolve compatibility issues between Greenplum and YMatrix DDL syntax (not required for YMatrix-to-YMatrix migrations). Optimizations aim to achieve peak performance early. Example commands executed on the source Greenplum cluster:

# Change compression algorithm
sed -i 's/quicklz/zstd/g' orig.sql   

# Update plpython version
sed -i 's/plpythonu/plpython3u/g' orig.sql     

# Add extension creation syntax
sed -i '1s/^/create language plpython3u;/' orig.sql  

# Remove index creation statements
sed -i -e '/CREATE INDEX.*;/d' -e '/CREATE INDEX/,/;/d' orig.sql  

# Optimize compression method
sed -i 's/compresstype=zlib/compresstype=zstd/g' orig.sql  

# Adjust compression level
sed -i 's/compresslevel=5/compresslevel=1/g' orig.sql        

Explanation:

  • Change compression algorithm: YMatrix does not support quicklz.
  • Update plpython version: YMatrix supports plpython3u.
  • Add extension creation: Required to enable certain extensions in YMatrix.
  • Remove index creation: Creating indexes during table creation reduces migration efficiency due to additional scans. We recommend creating tables first, then indexes post-migration.
  • Optimize compression: zstd offers better performance in YMatrix.
  • Adjust compression level: Level 1 provides optimal balance in YMatrix.

1.9 Generate SQL File for Altering Table Columns (Optional)

After table creation, set indexed columns to use the C collation for faster indexing and reduced migration time:

$ cat collate.sql
SELECT 'alter table '||quote_ident(b.schemaname)||'.'||quote_ident(b.tablename)||' alter column '||quote_ident(b.colname)||' type '||d.coltype||' COLLATE "pg_catalog"."C";'
FROM
  (SELECT DISTINCT a.schemaname,
                   a.tablename,
                   regexp_split_to_table(replace(a.keyindex,' ',''),',') AS colname
   FROM
     (SELECT schemaname,
             tablename,
             rtrim(split_part(indexdef,'(',2),')') AS keyindex,
             indexdef
      FROM pg_indexes
      WHERE schemaname NOT IN ('pg_catalog')
        AND indexname NOT LIKE '%pkey'
        AND indexdef LIKE 'CREATE INDEX%') a) b
INNER JOIN
  (SELECT c.oid,
          n.nspname,
          c.relname
   FROM pg_catalog.pg_class c
   LEFT JOIN pg_catalog.pg_namespace n ON n.oid = c.relnamespace) c ON b.schemaname=c.nspname
AND c.relname=b.tablename
INNER JOIN
  (SELECT e.attrelid,a.attname, pg_catalog.format_type(a.atttypid, a.atttypmod) AS coltype,
     (SELECT substring(pg_catalog.pg_get_expr(d.adbin, d.adrelid)
                       FOR 128)
      FROM pg_catalog.pg_attrdef d
      WHERE d.adrelid = a.attrelid
        AND d.adnum = a.attnum
        AND a.atthasdef), a.attnotnull,
                          a.attnum
   FROM pg_catalog.pg_attribute a
   LEFT OUTER JOIN pg_catalog.pg_attribute_encoding e ON e.attrelid = a .attrelid
   AND e.attnum = a.attnum
   WHERE a.attnum >0) d ON d.attrelid=c.oid
AND d.attname=b.colname;

1.10 Add Whitelists for All Nodes in Source and Target Clusters

Note!
Skip this step if source and target clusters run on the same server.

On the Master nodes of both clusters, add all node IPs to the pg_hba.conf file. Example IPs: 172.16.100.2/32 and 172.16.100.3/32.

Note!
For multiple hosts, list all host IPs in the script.

$ cat config_hba.sh 
#!/bin/bash
for line  in `psql -Atc "select hostname||','|| datadir
 from gp_segment_configuration order by datadir desc"`
do
    hostname=`echo $line|awk -F "," '{print $1}'`
    datadir=`echo $line|awk -F "," '{print $2}'`

    gpssh -h $hostname -v -e "echo host    all    all    172.16.100.2/32    md5>> ${datadir}/pg_hba.conf"
    gpssh -h $hostname -v -e "echo host    all    all    172.16.100.3/32    md5>> ${datadir}/pg_hba.conf"

done

Also add node IPs and hostnames to /etc/hosts. Example: IP 172.16.100.195, hostname sdw1.

$ cat add_hosts.sh 
#!/bin/bash
for line  in `psql -Atc "select distinct  hostname from gp_segment_configuration order by 1 desc"`
do
    gpssh -h $hostname -v -e "echo 172.16.100.195 sdw1 >> /etc/hosts"

done

Reload configuration to apply changes.

For Greenplum, run: `gpstop`` $ gpstop -u


For YMatrix 5, run:
`mxstop``
$ mxstop -u

1.11 Create Users on Target Cluster

Run the following command in the YMatrix environment:

$ psql -h <YMatrix_Server_IP> -p <target_port> -d <target_db> -U <target_superuser> -f global_user.sql

1.12 Create DDLs on Target Cluster (Optional)

In the YMatrix environment:

$ psql -h <YMatrix_Server_IP> -p <target_port> -d <target_db> -U <target_superuser> -f orig.sql 

1.13 Restore Table Structures (Optional)

Use the backed-up orig.sql to restore table structures on the target YMatrix cluster:

$ time psql -d <target_db_name> -f orig.sql > restoreddl.log  2>&1 &   

1.14 Change Table Collation to C (Optional)

$ time psql -d <target_db_name> -f collate.sql  

2 Migration Execution

Note!
For full parameter details, see mxshift

First, create a configuration file config_path.toml. Example:

[database]
        [database.source]
        ## Name of database
        db-database= "testdb"
        ## Hostname of database master
        db-host="sdw3"
        ## password of database
        db-password="xxxx"
        ## Port of database master
        db-port=54322
        ## user name of database
        db-user="gpadmin"
        ## Version of database(Please use the result of 'SELECT version();' as value). Required only when
        ##       1. Source database is un-reachable, and 'ddl.only-ddl' is enabled and 'ddl.mode' is 'input'
        ##       2. Target database is un-reachable, and 'ddl.mode' is 'output' */
         # db-version="PostgreSQL 12 (MatrixDB 5.1.0-enterprise) (Greenplum Database 7.0.0+dev.17410.gedbdb5ef84 build dev) on arm-apple-darwin21.5.0, compiled by Apple clang version 13.0.0 (clang-1300.0.27.3), 64-bit compiled on Jun  5 2023 15:45:24"
         ## The installation directory of matrixdb
         install-dir="/usr/local/greenplum-db-6.7.1"
         [[database.source.hostname-to-ip]]
             ## Replace content within <> with actual values and remove <>
             node-hostname="<mdw>" 
             node-ip="<127.0.0.1>"
         [[database.source.hostname-to-ip]]
             node-hostname="<sdw1>"
             node-ip="<127.0.0.2>"
         [[database.source.hostname-to-ip]]
             node-hostname="<sdw2>"
             node-ip="<127.0.0.3>"

        [database.target]
        ## Name of database
        db-database="destdb"
        ## Hostname of database master
        db-host="172.16.100.32"
        ## password of database
        db-password="yyyy"
        ## Port of database master
        db-port=5432
        ## user name of database
        db-user="mxadmin"
        ## Version of database(Please use the result of 'SELECT version();' as value). Required only when
        ##       1. Source database is un-reachable, and 'ddl.only-ddl' is enabled and 'ddl.mode' is 'input'
        ##       2. Target database is un-reachable, and 'ddl.mode' is 'output' */
         # db-version="PostgreSQL 12 (MatrixDB 5.1.0-enterprise) (Greenplum Database 7.0.0+dev.17410.gedbdb5ef84 build dev) on arm-apple-darwin21.5.0, compiled by Apple clang version 13.0.0 (clang-1300.0.27.3), 64-bit compiled on Jun  5 2023 15:45:24"

[scope]
## Compression method for data transfer: 0/gzip/lz4/zstd        
compress-method="lz4"
## Data transfer mode: normal/dryrun/fetch/motion
## dryrun: execute DDL only, no data transfer
## fetch: fetch data from source and discard
## motion: fetch, redistribute, then discard
mode="normal"
## SQL to select segment info from source
# select-source-segment-sql="SELECT dbid, content, port, hostname FROM gp_segment_configuration WHERE status = 'u' AND role = 'p' ORDER BY CONTENT;"
## SQL to select segment info from target
# select-target-segment-sql="SELECT dbid, content, port, hostname FROM gp_segment_configuration WHERE status = 'u' AND role = 'p' ORDER BY CONTENT;"
        [[scope.table-list]]
                schema="test_schema_1"
                name="table_001"
        [[scope.table-list]]
                schema="test_schema_2"
                name="table_002"
        [[scope.exclude-table-list]]
                schema="test_schema_3"
                name="table_003"
schema-list=["test_schema_1", "test_schema_2"]
exclude-schema-list=["test_schema_5", "test_schema_8"]
## Whether to disable incremental data migration (default: true)
# disable-data-increment=true

[log]
## Log level: debug/verbose/info
log-level="info"
## Disable colored log output
# no-color=false

[controller]
## By default, transfer starts from largest table. Use 'bothway' to start from both largest and smallest
both-way=true
## Number of tables to migrate concurrently
concurrency=3

[transfer]
## Verify record count for each table
verify=true
with-index=true

[ddl]
enabled=true
# file-path="/tmp/mxshift.sql"
# mode="output"
only-ddl=false
## Skip resource queue/group during DDL transfer (default: true)
# skip-resource-queue-and-group=true
## Skip tablespace during DDL transfer (default: true)
# skip-table-space=true
        [[ddl.replace]]
        ## Applies only when migrating from Greenplum to YMatrix
                category="role"
                [[ddl.replace.pairs]]
                        old="gpadmin"
                        new="mxadmin"
## Disable incremental DDL migration (default: true)
# disable-ddl-increment=true   

Then execute the migration on the target YMatrix cluster:

$ mxshift -c config_path.toml

3 Post-Migration Tasks

3.1 Create Indexes (Optional)

On the target YMatrix cluster:

psql -h localhost -p <target_port> -d <target_db_name> -U mxadmin -f index.sql >>idx.out 2>&1 &

3.2 Run analyzedb

Update statistics for the entire database on the target YMatrix cluster:

export PGPORT=<target_port>
time analyzedb -d <target_db_name> -p 10 -a 

--- SPLIT ---

3.3 Adding Mirror Segments

Add mirror segments to the target YMatrix cluster. The procedure is as follows:

# First, check the current cluster instance information
postgres=# SELECT * from gp_segment_configuration order by 1;
 dbid | content | role | preferred_role | mode | status | port | hostname | address |                   datadir
------+---------+------+----------------+------+--------+------+----------+---------+---------------------------------------------
    1 |      -1 | p    | p              | n    | u      | 5432 | mdw      | mdw     | /home/mxdata_20220925154450/master/mxseg-1
    2 |       0 | p    | p              | n    | u      | 6000 | sdw2     | sdw2    | /home/mxdata_20220925154450/primary/mxseg0
    3 |       1 | p    | p              | n    | u      | 6001 | sdw2     | sdw2    | /home/mxdata_20220925154450/primary/mxseg1
    4 |       2 | p    | p              | n    | u      | 6000 | sdw3     | sdw3    | /home/mxdata_20220925154450/primary/mxseg2
    5 |       3 | p    | p              | n    | u      | 6001 | sdw3     | sdw3    | /home/mxdata_20220925154450/primary/mxseg3
    6 |      -1 | m    | m              | s    | u      | 5432 | sdw1     | sdw1    | /home/mxdata_20220925154450/standby/mxseg-1
(6 rows)

# Create a file containing all hostnames
$ cat /home/mxadmin/seg_hosts 
sdw1
sdw2
sdw3
sdw4

# Use gpssh to create mirror directories in batch
$ gpssh -f /home/mxadmin/seg_hosts -e 'mkdir -p /home/mxdata_20220925154450/mirror'

# Generate the mirror configuration template file
$ mxaddmirrors -o ./addmirror

# View the generated mirror template file
$ cat addmirror

# Execute the command to add mirrors
$ mxaddmirrors -i addmirror

# Finally, check the cluster instance again
postgres=# SELECT * from gp_segment_configuration order by 1;
 dbid | content | role | preferred_role | mode | status | port | hostname | address |                   datadir
------+---------+------+----------------+------+--------+------+----------+---------+---------------------------------------------
    1 |      -1 | p    | p              | n    | u      | 5432 | mdw      | mdw     | /home/mxdata_20220925154450/master/mxseg-1
    2 |       0 | p    | p              | n    | u      | 6000 | sdw2     | sdw2    | /home/mxdata_20220925154450/primary/mxseg0
    3 |       1 | p    | p              | s    | u      | 6001 | sdw2     | sdw2    | /home/mxdata_20220925154450/primary/mxseg1
    4 |       2 | p    | p              | s    | u      | 6000 | sdw3     | sdw3    | /home/mxdata_20220925154450/primary/mxseg2
    5 |       3 | p    | p              | s    | u      | 6001 | sdw3     | sdw3    | /home/mxdata_20220925154450/primary/mxseg3
    6 |      -1 | m    | m              | s    | u      | 5432 | sdw1     | sdw1    | /home/mxdata_20220925154450/standby/mxseg-1
    7 |       0 | m    | m              | n    | d      | 7000 | sdw3     | sdw3    | /home/mxdata_20220925154450/mirror/mxseg0
    8 |       1 | m    | m              | s    | u      | 7001 | sdw3     | sdw3    | /home/mxdata_20220925154450/mirror/mxseg1
    9 |       2 | m    | m              | s    | u      | 7000 | sdw2     | sdw2    | /home/mxdata_20220925154450/mirror/mxseg2
   10 |       3 | m    | m              | s    | u      | 7001 | sdw2     | sdw2    | /home/mxdata_20220925154450/mirror/mxseg3
(10 rows)

After completing the above steps, restore business access and monitor system behavior. Observe the cluster for a sustained period (duration depends on specific workload patterns). If the system runs stably, congratulations — the data migration has been successfully completed!